J. O'Neal Johnston
- Genetics top 5%
- Molecular Biology
- Pathology and Forensic Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Pharmacology top 5%
- Co-authors
- C. Lee WrightBrian W. MetcalfJoseph P. BurkhartWendell W. LeavittTong J. ChenThomas C. AllenB. L. DresserL. Kramer
- Topics
- Estrogen and related hormone effects (13 papers)Hormonal Regulation and Hypertension (10 papers)Hormonal and reproductive studies (7 papers)
- Cited by
- ToxicologyGeneticsPharmacology
- Journals
- Journal of the American Chemical SocietyGastroenterologyBiochemical and Biophysical Research Communications
- Partner nations
- United StatesCanadaSpain
In The Last Decade
J. O'Neal Johnston
33 papers receiving 859 citations
Peers
Comparison fields: 5 of 83
- Genetics 518
- Molecular Biology 314
- Pathology and Forensic Medicine 195
- Endocrinology, Diabetes and Metabolism 164
- Pharmacology 125
Countries citing papers authored by J. O'Neal Johnston
This map shows the geographic impact of J. O'Neal Johnston'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 J. O'Neal Johnston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. O'Neal Johnston more than expected).
Fields of papers citing papers by J. O'Neal Johnston
This network shows the impact of papers produced by J. O'Neal Johnston. 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 J. O'Neal Johnston. The network helps show where J. O'Neal Johnston may publish in the future.
Co-authorship network of co-authors of J. O'Neal Johnston
This figure shows the co-authorship network connecting the top 25 collaborators of J. O'Neal Johnston. A scholar is included among the top collaborators of J. O'Neal Johnston based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. O'Neal Johnston. J. O'Neal Johnston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 21 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 18 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 7 | |
| 10 | 17 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 22 | |
| 15 | 19 | |
| 16 | 8 | |
| 17 | 21 | |
| 18 | 260 | |
| 19 | 9 | |
| 20 | 14 |
About J. O'Neal Johnston
J. O'Neal Johnston is a scholar working on Toxicology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 34 papers that have together received 958 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Hormonal Regulation and Hypertension (10 papers) and Hormonal and reproductive studies (7 papers). The work is most often cited by research in Toxicology (75 citations), Genetics (518 citations) and Pharmacology (125 citations). J. O'Neal Johnston has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include C. Lee Wright, Brian W. Metcalf, Joseph P. Burkhart, Wendell W. Leavitt, Tong J. Chen, Thomas C. Allen, B. L. Dresser, L. Kramer, Sylvie Gosselin and William F. Balistreri. Their work appears in journals such as Journal of the American Chemical Society, Gastroenterology and Biochemical and Biophysical Research Communications.
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.