J. J. Chart
Impact in
-
- Hormonal Regulation and Hypertension
- Hormonal and reproductive studies
- Adrenal Hormones and Disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- Hormonal Regulation and Hypertension 15
- Hormonal and reproductive studies 8
- Adrenal Hormones and Disorders 6
- Genetics 7
- Estrogen and related hormone effects 7
- Co-authors
- Herbert Sheppard (6 shared papers)Robert Gaunt (10 shared papers)A. A. Renzi (11 shared papers)Richard A. Gaunt (7 shared papers)Bernard G. Steinetz (5 shared papers)W. L. Bencze (2 shared papers)Edgar Gordon (2 shared papers)Kenichi Soga (1 shared paper)
- Journals
- Experimental Biology and Medicine (7 papers)Endocrinology (5 papers)Cellular and Molecular Life Sciences (3 papers)Journal of Medicinal Chemistry (2 papers)Biochemical Pharmacology (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
J. J. Chart
28 papers receiving 506 citations
Peers
Comparison fields: 5 of 93
- Endocrinology, Diabetes and Metabolism 313
- Behavioral Neuroscience 45
- Biochemistry 50
- Pharmacology 54
- Nephrology 33
Countries citing papers authored by J. J. Chart
This map shows the geographic impact of J. J. Chart'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. J. Chart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. J. Chart more than expected).
Fields of papers citing papers by J. J. Chart
This network shows the impact of papers produced by J. J. Chart. 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. J. Chart. The network helps show where J. J. Chart may publish in the future.
Co-authors
The 23 scholars most cited alongside J. J. Chart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1958 | 115 | |
| 2 | 1959 | 92 | |
| 3 | 1955 | 75 | |
| 4 | 1983 | 61 | |
| 5 | 1951 | 46 | |
| 6 | 1968 | 36 | |
| 7 | 1962 | 34 | |
| 8 | 1956 | 33 | |
| 9 | 1961 | 31 | |
| 10 | 1959 | 24 | |
| 11 | 1962 | 23 | |
| 12 | 1957 | 22 | |
| 13 | 1965 | 18 | |
| 14 | 1970 | 16 | |
| 15 | 1956 | 13 | |
| 16 | 1962 | 13 | |
| 17 | 1967 | 11 | |
| 18 | 1973 | 10 | |
| 19 | 1975 | 9 | |
| 20 | 1956 | 9 |
About J. J. Chart
J. J. Chart is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Pulmonary and Respiratory Medicine, Molecular Biology and Biochemistry, having authored 32 papers that have together received 734 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (15 papers), Hormonal and reproductive studies (8 papers), Estrogen and related hormone effects (7 papers), Electrolyte and hormonal disorders (6 papers), Adrenal Hormones and Disorders (6 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Inflammatory mediators and NSAID effects (2 papers) and Steroid Chemistry and Biochemistry (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (313 citations), Behavioral Neuroscience (45 citations), Biochemistry (50 citations), Pharmacology (54 citations) and Nephrology (33 citations). J. J. Chart has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Herbert Sheppard, Robert Gaunt, A. A. Renzi, Richard A. Gaunt, Bernard G. Steinetz, W. L. Bencze, Edgar Gordon, Kenichi Soga, Elva G. Shipley and Megan Butler. Their work appears in journals such as Experimental Biology and Medicine, Endocrinology, Cellular and Molecular Life Sciences, Journal of Medicinal Chemistry and Biochemical Pharmacology.
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.