+44 1478 350008Journal of Clinical Toxicology : Citations & Metrics Report
Articles published in Journal of Clinical Toxicology have been cited by esteemed scholars and scientists all around the world. Journal of Clinical Toxicology has got h-index 20, which means every article in Journal of Clinical Toxicology has got 20 average citations.
Following are the list of articles that have cited the articles published in Journal of Clinical Toxicology.
| 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total published articles |
25 | 31 | 33 | 63 | 34 | 34 | 33 | 33 | 56 | 51 | 47 | 60 | 57 | 17 |
Research, Review articles and Editorials |
12 | 21 | 26 | 64 | 18 | 17 | 24 | 19 | 39 | 25 | 36 | 43 | 46 | 11 |
Research communications, Review communications, Editorial communications, Case reports and Commentary |
13 | 10 | 17 | 34 | 21 | 17 | 9 | 14 | 28 | 24 | 11 | 11 | 16 | 6 |
Conference proceedings |
6 | 0 | 6 | 0 | 0 | 0 | 77 | 51 | 198 | 98 | 83 | 95 | 65 | 0 |
Citations received as per Google Scholar, other indexing platforms and portals |
257 | 331 | 376 | 432 | 400 | 358 | 353 | 269 | 239 | 196 | 79 | 32 | 10 | 0 |
| Journal total citations count | 2911 |
| Journal impact factor | 5.72 |
| Journal 5 years impact factor | 8.04 |
| Journal cite score | 9.78 |
| Journal h-index | 20 |
| Journal h-index since 2019 | 16 |
Important citations (838)
rahul j (2015) significance of angiogenesis in both survival and extermination (via treatment) of the tumour. rrjmhs 4: 3. |
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fields b, hoeng j, park j, peitsch mc, schlage wk, et al. (2014) enhancement of copd biological networks using a web-based. |
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talikka m, boué s, frentzel s, kogel u, sierro n, et al. (2015) systems toxicology. encyclopedia of drug metabolism and interactions. |
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azad ma (2014) journal of medical and health sciences. |
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kogel u, schlage wk, martin f, ansari s, xiang y, et al. (2015) 28-day rat inhalation study‒how systems toxicology complements oecd inhalation studies. |
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gonzalez-suarez i, martin f, hoeng j, peitsch mc (2016) mechanistic network models in safety and toxicity evaluation of nutraceuticals. nutraceuticals: efficacy, safety and toxicity 28: 287. |
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de león h, boué s, schlage wk, boukharov n, westra jw, et al. (2014) journal of translational medicine. journal of translational medicine 12: 185. |
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boukharov n, park js (2015) using a crowdsourcing approach for network verification. computational systems toxicology 2015: 145-160. |
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talikka m, boue s, schlage wk (2015) causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems. computational systems toxicology 2015: 65-93. |
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boue s, fields b, hoeng j, park j, peitsch mc, et al. (2015) enhancement of copd biological networks using a web-based collaboration interface. f1000research 4. |
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cabanski m, fields b, boue s, boukharov n, deleon h, et al. (2015) transcriptional profiling and targeted proteomics reveals common molecular changes associated with cigarette smoke-induced lung emphysema development in five susceptible mouse strains. inflammation research 64: 471-486. |
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phillips b, esposito m, verbeeck j, boué s, iskandar a, et al. (2015) toxicity of aerosols of nicotine and pyruvic acid (separate and combined) in sprague–dawley rats in a 28-day oecd 412 inhalation study and assessment of systems toxicology. inhalation toxicology 27: 405-431. |
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szostak j, ansari s, madan s, fluck j, talikka m, et al. (2015) construction of biological networks from unstructured information based on a semi-automated curation workflow. database 2015: bav057. |
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de león h, boué s, schlage wk, boukharov n, westra jw, et al. (2014) a vascular biology network model focused on inflammatory processes to investigate atherogenesis and plaque instability. journal of translational medicine 12: 185. |
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belcastro v, poussin c, gebel s, mathis c, schlage wk, et al. (2013) systematic verification of upstream regulators of a computable cellular proliferation network model on non-diseased lung cells using a dedicated dataset. bioinformatics and biology insights 7: 217. |
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ansari s, binder j, boue s, di fabio a, hayes w, et al. (2013) on crowd-verification of biological networks. bioinformatics and biology insights 7. |
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boué s, talikka m, westra jw, hayes w, di fabio a, et al. (2015) causal biological network database: a comprehensive platform of causal biological network models focused on the pulmonary and vascular systems. database 2015: bav030. |
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kogel u, schlage wk, martin f, xiang y, ansari s, et al. (2014) a 28-day rat inhalation study with an integrated molecular toxicology endpoint demonstrates reduced exposure effects for a prototypic modified risk tobacco product compared with conventional cigarettes. food and chemical toxicology 68: 204-217. |
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hoeng j, talikka m, martin f, sewer a, yang x, iskandar a, et al. (2014) case study: the role of mechanistic network models in systems toxicology. drug discovery today 19: 183-192. |
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sturla sj, boobis ar, fitzgerald re, hoeng j, kavlock rj, et al. (2014) systems toxicology: from basic research to risk assessment. chemical research in toxicology 27: 314-329. |
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