John D. Baxter
- Endocrinology, Diabetes and Metabolism top 0.05%
- Thyroid Disorders and Treatments 52
- Growth Hormone and Insulin-like Growth Factors 34
- Hormonal Regulation and Hypertension 32
- Virology top 0.5%
- HIV Research and Treatment 34
- Genetics top 0.1%
- Estrogen and related hormone effects 85
- Behavioral Neuroscience top 0.5%
- Molecular Biology top 0.5%
- Receptor Mechanisms and Signaling 32
- Retinoids in leukemia and cellular processes 31
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- HIV/AIDS drug development and treatment 32
- Co-authors
- Gordon M. TomkinsBrian L. WestGuy RousseauJoseph MartialJames W. AprilettiPaul WebbMichael KarinPeter J. Kushner
- Journals
- Journal of Biological Chemistry (36 papers)Proceedings of the National Academy of Sciences (23 papers)Molecular Endocrinology (19 papers)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
John D. Baxter
260 papers receiving 18.2k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Endocrinology, Diabetes and Metabolism 6.7k
- Virology 1.5k
- Genetics 6.1k
- Behavioral Neuroscience 643
- Molecular Biology 9.0k
Countries citing papers authored by John D. Baxter
This map shows the geographic impact of John D. Baxter'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. Baxter 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. Baxter more than expected).
Fields of papers citing papers by John D. Baxter
This network shows the impact of papers produced by John D. Baxter. 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. Baxter. The network helps show where John D. Baxter may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John D. Baxter, 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 | 2023 | 2 | |
| 2 | 2020 | 1 | |
| 3 | 2020 | 14 | |
| 4 | 2018 | 2 | |
| 5 | 2010 | 88 | |
| 6 | 2008 | 21 | |
| 7 | 2007 | 41 | |
| 8 | 2006 | 17 | |
| 9 | 2006 | 1 | |
| 10 | 2002 | 46 | |
| 11 | 2002 | 3 | |
| 12 | 1997 | 39 | |
| 13 | 1988 | 2 | |
| 14 | 1987 | 4 | |
| 15 | 1984 | 99 | |
| 16 | 1984 | 4 | |
| 17 | A Method for Isolation of Intact, Translationally Active Ribonucleic Acidbreakdown → | 1983 | 1396 |
| 18 | 1983 | 27 | |
| 19 | 1982 | 33 | |
| 20 | 1981 | 39 |
About John D. Baxter
John D. Baxter is a scholar working on Virology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 265 papers that have together received 19.4k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (85 papers), Thyroid Disorders and Treatments (52 papers), HIV Research and Treatment (34 papers), Growth Hormone and Insulin-like Growth Factors (34 papers), Hormonal Regulation and Hypertension (32 papers), Receptor Mechanisms and Signaling (32 papers), HIV/AIDS drug development and treatment (32 papers) and Retinoids in leukemia and cellular processes (31 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (6.7k citations), Virology (1.5k citations) and Genetics (6.1k citations). John D. Baxter has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Gordon M. Tomkins, Brian L. West, Guy Rousseau, Joseph Martial, James W. Apriletti, Paul Webb, Michael Karin, Peter J. Kushner, Robert J. Fletterick and Ralff C.J. Ribeiro. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular Endocrinology, Endocrinology and Science.
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.