Eric Fabian
- Pharmaceutical Science top 1%
- Dermatology top 0.5%
- Contact Dermatitis and Allergies 11
- Small Animals top 1%
- Animal testing and alternatives 7
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- Effects and risks of endocrine disrupting chemicals 11
- Pharmacology top 1%
- Pharmacogenetics and Drug Metabolism 19
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- Metabolomics and Mass Spectrometry Studies 16
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- Pesticide Exposure and Toxicity 11
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- Carcinogens and Genotoxicity Assessment 7
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- Computational Drug Discovery Methods 5
- Co-authors
- Robert LandsiedelFranz OeschB. van RavenzwaayBennard van RavenzwaayLan Ma‐HockKarin WienchWendel WohllebenVolker Strauss
- Journals
- Toxicology Letters (17 papers)Archives of Toxicology (15 papers)Regulatory Toxicology and Pharmacology (7 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Eric Fabian
88 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 140
- Pharmaceutical Science 383
- Dermatology 516
- Small Animals 297
- Health, Toxicology and Mutagenesis 540
- Pharmacology 293
Countries citing papers authored by Eric Fabian
This map shows the geographic impact of Eric Fabian's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eric Fabian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Fabian more than expected).
Fields of papers citing papers by Eric Fabian
This network shows the impact of papers produced by Eric Fabian. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eric Fabian. The network helps show where Eric Fabian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric Fabian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 6 | |
| 5 | 2020 | 14 | |
| 6 | 2019 | 48 | |
| 7 | 2017 | 22 | |
| 8 | 2016 | 5 | |
| 9 | 2016 | 13 | |
| 10 | 2015 | 4 | |
| 11 | 2014 | 58 | |
| 12 | 2014 | 91 | |
| 13 | 2014 | 94 | |
| 14 | 2014 | 13 | |
| 15 | 2013 | 29 | |
| 16 | 2011 | 57 | |
| 17 | 2009 | 3 | |
| 18 | 2008 | 117 | |
| 19 | 2007 | 304 | |
| 20 | 1990 | 3 |
About Eric Fabian
Eric Fabian is a scholar working on Pharmacology, Dermatology, Pharmaceutical Science, Health, Toxicology and Mutagenesis and Small Animals, having authored 88 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (19 papers), Metabolomics and Mass Spectrometry Studies (16 papers), Pesticide Exposure and Toxicity (11 papers), Effects and risks of endocrine disrupting chemicals (11 papers), Contact Dermatitis and Allergies (11 papers), Carcinogens and Genotoxicity Assessment (7 papers), Animal testing and alternatives (7 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Pharmaceutical Science (383 citations), Dermatology (516 citations), Small Animals (297 citations), Health, Toxicology and Mutagenesis (540 citations) and Pharmacology (293 citations). Eric Fabian has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Robert Landsiedel, Franz Oesch, B. van Ravenzwaay, Bennard van Ravenzwaay, Lan Ma‐Hock, Karin Wiench, Wendel Wohlleben, Volker Strauss, Katharina Guth and Hennicke Kamp. Their work appears in journals such as Toxicology Letters, Archives of Toxicology, Regulatory Toxicology and Pharmacology, Toxicology in Vitro and American Journal of Obstetrics and Gynecology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.