John D. Obourn
Impact in
- Genetics top 5%
- Estrogen and related hormone effects
- Toxicology top 5%
Papers in
- Genetics 8
- Estrogen and related hormone effects 8
-
- Protein Tyrosine Phosphatases 1
- Steroid Chemistry and Biochemistry 1
- Co-authors
- Angelο C. Notides (6 shared papers)Steven F. Arnold (4 shared papers)Howard Jaffe (3 shared papers)Nicholas J. Koszewski (1 shared paper)Jon C. Cook (5 shared papers)Carolyn S. Van Pelt (2 shared papers)Matthew R. Yudt (1 shared paper)Steven R. Frame (2 shared papers)
- Journals
- The Journal of Steroid Biochemistry and Molecular Biology (2 papers)Molecular Endocrinology (2 papers)Toxicology and Applied Pharmacology (2 papers)Toxicological Sciences (1 paper)Drug and Chemical Toxicology (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
John D. Obourn
12 papers receiving 697 citations
Peers
Comparison fields: 5 of 70
- Genetics 489
- Toxicology 39
- Health, Toxicology and Mutagenesis 113
- Oncology 174
- Molecular Biology 372
Countries citing papers authored by John D. Obourn
This map shows the geographic impact of John D. Obourn'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 John D. Obourn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Obourn more than expected).
Fields of papers citing papers by John D. Obourn
This network shows the impact of papers produced by John D. Obourn. 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 John D. Obourn. The network helps show where John D. Obourn may publish in the future.
Co-authors
The 24 scholars most cited alongside John D. Obourn, 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 | 1995 | 148 | |
| 2 | 1994 | 133 | |
| 3 | 1993 | 110 | |
| 4 | 1995 | 85 | |
| 5 | 1996 | 80 | |
| 6 | 1995 | 57 | |
| 7 | 1997 | 31 | |
| 8 | 2011 | 25 | |
| 9 | 1997 | 14 | |
| 10 | 1997 | 13 | |
| 11 | 1997 | 8 | |
| 12 | 1993 | 6 |
About John D. Obourn
John D. Obourn is a scholar working on Genetics, Molecular Biology, Health, Toxicology and Mutagenesis, Computational Theory and Mathematics and Surgery, having authored 12 papers that have together received 710 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Computational Drug Discovery Methods (3 papers), Pancreatic function and diabetes (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Protein Tyrosine Phosphatases (1 paper), Pancreatitis Pathology and Treatment (1 paper) and Steroid Chemistry and Biochemistry (1 paper). The work is most often cited by research in Genetics (489 citations), Toxicology (39 citations), Health, Toxicology and Mutagenesis (113 citations), Oncology (174 citations) and Molecular Biology (372 citations). John D. Obourn has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Angelο C. Notides, Steven F. Arnold, Howard Jaffe, Nicholas J. Koszewski, Jon C. Cook, Carolyn S. Van Pelt, Matthew R. Yudt, Steven R. Frame, Glenn S. Elliott and Richard H. Bell. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Molecular Endocrinology, Toxicology and Applied Pharmacology, Toxicological Sciences and Drug and Chemical Toxicology.
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.