J M C Connell
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Physiology
- Pediatrics, Perinatology and Child Health
- Co-authors
- R. FräserMartin WhittleJames McQueenJ.C.P. KingdomAndrew R. JamiesonG InglisC.J. KenyonA. R. McLellan
- Topics
- Hormonal Regulation and Hypertension (9 papers)Adrenal Hormones and Disorders (7 papers)Stress Responses and Cortisol (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismObstetrics and GynecologyCardiology and Cardiovascular Medicine
- Partner nations
- United KingdomIndiaItaly
In The Last Decade
J M C Connell
28 papers receiving 350 citations
Peers
Comparison fields: 5 of 64
- Endocrinology, Diabetes and Metabolism 150
- Cardiology and Cardiovascular Medicine 89
- Molecular Biology 81
- Physiology 68
- Pediatrics, Perinatology and Child Health 53
Countries citing papers authored by J M C Connell
This map shows the geographic impact of J M C Connell'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 M C Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J M C Connell more than expected).
Fields of papers citing papers by J M C Connell
This network shows the impact of papers produced by J M C Connell. 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 M C Connell. The network helps show where J M C Connell may publish in the future.
Co-authorship network of co-authors of J M C Connell
This figure shows the co-authorship network connecting the top 25 collaborators of J M C Connell. A scholar is included among the top collaborators of J M C Connell 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 M C Connell. J M C Connell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 10 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 31 | |
| 6 | 4 | |
| 7 | 20 | |
| 8 | 46 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 31 | |
| 12 | 7 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | 3 | |
| 17 | 6 | |
| 18 | 0 | |
| 19 | 8 | |
| 20 | 23 |
About J M C Connell
J M C Connell is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 29 papers that have together received 370 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (9 papers), Adrenal Hormones and Disorders (7 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (150 citations), Obstetrics and Gynecology (45 citations) and Cardiology and Cardiovascular Medicine (89 citations). J M C Connell has collaborated with scholars based in United Kingdom, India and Italy. Frequent co-authors include R. Fräser, Martin Whittle, James McQueen, J.C.P. Kingdom, Andrew R. Jamieson, G Inglis, C.J. Kenyon, A. R. McLellan, GT McInnes and Graeme Milligan. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Gut and Hypertension.
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.