R. H. Furman
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Molecular Biology
- Cancer Research
- Co-authors
- D. SeidelP. AlaupovicPetar AlaupovicWalter J. McConathyNalini Junko NegiR. Palmer HowardA. GustafsonDerek K. Iwamoto
- Topics
- Social Work Education and Practice (4 papers)Cancer, Lipids, and Metabolism (4 papers)Lipoproteins and Cardiovascular Health (4 papers)
- Partner nations
- United States
In The Last Decade
R. H. Furman
29 papers receiving 766 citations
Peers
Comparison fields: 5 of 94
- Surgery 322
- Endocrinology, Diabetes and Metabolism 214
- Epidemiology 191
- Molecular Biology 164
- Cancer Research 158
Countries citing papers authored by R. H. Furman
This map shows the geographic impact of R. H. Furman'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 R. H. Furman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. H. Furman more than expected).
Fields of papers citing papers by R. H. Furman
This network shows the impact of papers produced by R. H. Furman. 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 R. H. Furman. The network helps show where R. H. Furman may publish in the future.
Co-authorship network of co-authors of R. H. Furman
This figure shows the co-authorship network connecting the top 25 collaborators of R. H. Furman. A scholar is included among the top collaborators of R. H. Furman 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 R. H. Furman. R. H. Furman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 50 | |
| 3 | 22 | |
| 4 | 57 | |
| 5 | 22 | |
| 6 | 149 | |
| 7 | 1 | |
| 8 | Techniques for studying anabolism and catabolism in humans. | 3 |
| 9 | Effects of medium chain length triglyceride (MCT) on serum lipids and lipoproteins in familial hyperchylomicronemia (dietary fat-induced lipemia) and dietary carbohydrate-accentuated lipemia. | 38 |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 32 | |
| 13 | Effect of chronic heparin administration on serum lipids, lipoproteins, nitrogen and electrolyte balance in normal and heparin-responsive and heparin-unresponsive hyperglyceridemic subjects. | 10 |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 1 | |
| 17 | 14 | |
| 18 | 16 | |
| 19 | 3 | |
| 20 | 3 |
About R. H. Furman
R. H. Furman is a scholar working on Public Administration, Anatomy and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 881 indexed citations. Recurring topics across this work include Social Work Education and Practice (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Lipoproteins and Cardiovascular Health (4 papers). The work is most often cited by research in Public Administration (65 citations), Endocrinology, Diabetes and Metabolism (214 citations) and Cancer Research (158 citations). R. H. Furman has collaborated with scholars based in United States. Frequent co-authors include D. Seidel, P. Alaupovic, Petar Alaupovic, Walter J. McConathy, Nalini Junko Negi, R. Palmer Howard, A. Gustafson, Derek K. Iwamoto, S. A. Tepper and Michael L. Sullivan. Their work appears in journals such as The Lancet, JAMA and Journal of Clinical Investigation.
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.