J. R. Seckl
- Endocrinology, Diabetes and Metabolism top 1%
- Pediatrics, Perinatology and Child Health top 1%
- Behavioral Neuroscience top 0.5%
- Physiology top 5%
- Obstetrics and Gynecology top 2%
- Co-authors
- Christopher R.W. EdwardsC.J. KenyonAnn N. BurchellMoffat NyirendaRobert S. LindsayKaren E. ChapmanPauline JamiesonC.R.W. Edwards
- Topics
- Hormonal Regulation and Hypertension (20 papers)Stress Responses and Cortisol (14 papers)Neuroendocrine regulation and behavior (12 papers)
- Cited by
- Behavioral NeuroscienceEndocrinology, Diabetes and MetabolismPediatrics, Perinatology and Child Health
- Partner nations
- United KingdomGermanySweden
In The Last Decade
J. R. Seckl
37 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 115
- Endocrinology, Diabetes and Metabolism 1.1k
- Pediatrics, Perinatology and Child Health 868
- Behavioral Neuroscience 688
- Physiology 402
- Obstetrics and Gynecology 341
Countries citing papers authored by J. R. Seckl
This map shows the geographic impact of J. R. Seckl'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. R. Seckl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. R. Seckl more than expected).
Fields of papers citing papers by J. R. Seckl
This network shows the impact of papers produced by J. R. Seckl. 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. R. Seckl. The network helps show where J. R. Seckl may publish in the future.
Co-authorship network of co-authors of J. R. Seckl
This figure shows the co-authorship network connecting the top 25 collaborators of J. R. Seckl. A scholar is included among the top collaborators of J. R. Seckl 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. R. Seckl. J. R. Seckl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 128 | |
| 3 | Regulation of 11beta-hydroxylase (CYP11B1) and aldosterone synthase (CYP11B2) gene expression in the rat adrenal gland and central nervous system by ACTH and dexamethasone | 3 |
| 4 | 52 | |
| 5 | Transcription of corticosteroidogenic genes in human cerebellum and hippocampus | 1 |
| 6 | 18 | |
| 7 | 475 | |
| 8 | 111 | |
| 9 | 84 | |
| 10 | 320 | |
| 11 | 145 | |
| 12 | 264 | |
| 13 | 80 | |
| 14 | 96 | |
| 15 | 19 | |
| 16 | 6 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 307 | |
| 20 | 19 |
About J. R. Seckl
J. R. Seckl is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Social Psychology, having authored 38 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (20 papers), Stress Responses and Cortisol (14 papers) and Neuroendocrine regulation and behavior (12 papers). The work is most often cited by research in Behavioral Neuroscience (688 citations), Endocrinology, Diabetes and Metabolism (1.1k citations) and Pediatrics, Perinatology and Child Health (868 citations). J. R. Seckl has collaborated with scholars based in United Kingdom, Germany and Sweden. Frequent co-authors include Christopher R.W. Edwards, C.J. Kenyon, Ann N. Burchell, Moffat Nyirenda, Robert S. Lindsay, Karen E. Chapman, Pauline Jamieson, C.R.W. Edwards, Joyce L.W. Yau and Tommy Olsson. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and The FASEB Journal.
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.