Kim M. Huffman
- Physiology top 0.5%
- Molecular Biology top 10%
- Epidemiology top 5%
- Rheumatology top 1%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- William E. KrausCris A. SlentzCarl F. PieperVirginia B. KrausMichael J. MuehlbauerJoseph A. HoumardCharles J. TannerConnie W. Bales
- Topics
- Adipose Tissue and Metabolism (27 papers)Rheumatoid Arthritis Research and Therapies (20 papers)Osteoarthritis Treatment and Mechanisms (19 papers)
- Journals
- Proceedings of the National Academy of SciencesThe LancetSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Kim M. Huffman
137 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Physiology 2.1k
- Molecular Biology 1.2k
- Epidemiology 682
- Rheumatology 648
- Public Health, Environmental and Occupational Health 530
Countries citing papers authored by Kim M. Huffman
This map shows the geographic impact of Kim M. Huffman'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 Kim M. Huffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim M. Huffman more than expected).
Fields of papers citing papers by Kim M. Huffman
This network shows the impact of papers produced by Kim M. Huffman. 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 Kim M. Huffman. The network helps show where Kim M. Huffman may publish in the future.
Co-authorship network of co-authors of Kim M. Huffman
This figure shows the co-authorship network connecting the top 25 collaborators of Kim M. Huffman. A scholar is included among the top collaborators of Kim M. Huffman 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 Kim M. Huffman. Kim M. Huffman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 36 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 13 | |
| 12 | 9 | |
| 13 | 32 | |
| 14 | 24 | |
| 15 | 6 | |
| 16 | 30 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 21 | |
| 20 | 58 |
About Kim M. Huffman
Kim M. Huffman is a scholar working on Aging, Physiology and Rheumatology, having authored 141 papers that have together received 4.6k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (27 papers), Rheumatoid Arthritis Research and Therapies (20 papers) and Osteoarthritis Treatment and Mechanisms (19 papers). The work is most often cited by research in Aging (252 citations), Physiology (2.1k citations) and Complementary and alternative medicine (387 citations). Kim M. Huffman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include William E. Kraus, Cris A. Slentz, Carl F. Pieper, Virginia B. Kraus, Michael J. Muehlbauer, Joseph A. Houmard, Charles J. Tanner, Connie W. Bales, Lori A. Bateman and James R. Bain. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.
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.