S. M. Humphreys
- Physiology top 10%
- Cell Biology top 10%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Keith N. FraynSW CoppackBA FieldingG F GibbonsJennifer L. PottsRachel M. FisherFredrik KarpeChristian Förster
- Topics
- Adipose Tissue and Metabolism (6 papers)Muscle metabolism and nutrition (4 papers)Cardiovascular and exercise physiology (3 papers)
- Partner nations
- United KingdomSwedenDenmark
In The Last Decade
S. M. Humphreys
13 papers receiving 500 citations
Peers
Comparison fields: 5 of 61
- Physiology 361
- Cell Biology 169
- Cardiology and Cardiovascular Medicine 121
- Epidemiology 112
- Endocrinology, Diabetes and Metabolism 95
Countries citing papers authored by S. M. Humphreys
This map shows the geographic impact of S. M. Humphreys'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 S. M. Humphreys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. M. Humphreys more than expected).
Fields of papers citing papers by S. M. Humphreys
This network shows the impact of papers produced by S. M. Humphreys. 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 S. M. Humphreys. The network helps show where S. M. Humphreys may publish in the future.
Co-authorship network of co-authors of S. M. Humphreys
This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Humphreys. A scholar is included among the top collaborators of S. M. Humphreys 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 S. M. Humphreys. S. M. Humphreys is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Adipose tissue fatty acid metabolism in insulin-resistant men (Diabetologia DOI: 10.1007/s00125-008-1040-x) | 2 |
| 2 | 79 | |
| 3 | Fatty Acid Metabolism in Patients with PPAR gamma Mutations | 1 |
| 4 | 5 | |
| 5 | 54 | |
| 6 | 21 | |
| 7 | 59 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 95 | |
| 11 | MONOACYLGLYCEROL, DIACYLGLYCEROL, AND TRIACYLGLYCEROL CONCENTRATIONS IN HUMAN PLASMA - EFFECTS OF HEPARIN INJECTION AND OF A HIGH-FAT MEAL | 4 |
| 12 | Subcutaneous adipose tissue metabolism studied by local catheterization. | 44 |
| 13 | 145 |
About S. M. Humphreys
S. M. Humphreys is a scholar working on Complementary and alternative medicine, Physiology and Cell Biology, having authored 13 papers that have together received 517 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Muscle metabolism and nutrition (4 papers) and Cardiovascular and exercise physiology (3 papers). The work is most often cited by research in Physiology (361 citations), Cell Biology (169 citations) and Endocrine and Autonomic Systems (43 citations). S. M. Humphreys has collaborated with scholars based in United Kingdom, Sweden and Denmark. Frequent co-authors include Keith N. Frayn, SW Coppack, BA Fielding, G F Gibbons, Jennifer L. Potts, Rachel M. Fisher, Fredrik Karpe, Christian Förster, Jaswinder S. Samra and Elizabeth J. Simpson. Their work appears in journals such as Journal of Applied Physiology, Diabetologia and International Journal of Obesity.
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.