Kim M. Huffman
About
Kim M. Huffman is a scholar working on Physiology, Rheumatology and Molecular Biology.
According to data from OpenAlex, Kim M. Huffman has authored 141 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Physiology, 37 papers in Rheumatology and 31 papers in Molecular Biology. Recurrent topics in Kim M. Huffman's work include Adipose Tissue and Metabolism (27 papers), Rheumatoid Arthritis Research and Therapies (20 papers) and Osteoarthritis Treatment and Mechanisms (19 papers). Kim M. Huffman is often cited by papers focused on Adipose Tissue and Metabolism (27 papers), Rheumatoid Arthritis Research and Therapies (20 papers) and Osteoarthritis Treatment and Mechanisms (19 papers). Kim M. Huffman collaborates with scholars based in United States, United Kingdom and Canada. Kim M. Huffman's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and SHILAP Revista de lepidopterología.
In The Last Decade
Kim M. Huffman
137 papers receiving 4.5k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Kim M. Huffman United States | 36 | 2.1k | 1.2k | 682 | 648 | 530 | 141 | 4.6k | ||
| Ioannis Papassotiriou Greece | 46 | 1.3k 0.6× | 1.2k 1.0× | 804 1.2× | 346 0.5× | 511 1.0× | 307 | 7.5k | ||
| Markus Herrmann Germany | 43 | 1.2k 0.6× | 874 0.7× | 361 0.5× | 1.2k 1.8× | 320 0.6× | 200 | 5.4k | ||
| Guang Sun Canada | 37 | 1.2k 0.6× | 955 0.8× | 414 0.6× | 542 0.8× | 719 1.4× | 116 | 3.8k | ||
| Aurelia Santoro Italy | 38 | 2.6k 1.2× | 2.6k 2.2× | 750 1.1× | 385 0.6× | 825 1.6× | 92 | 6.9k | ||
| Rikke Krogh‐Madsen Denmark | 30 | 1.8k 0.9× | 988 0.8× | 1.0k 1.5× | 124 0.2× | 298 0.6× | 91 | 4.2k | ||
| Alesia Sadosky United States | 40 | 1.6k 0.8× | 583 0.5× | 328 0.5× | 426 0.7× | 331 0.6× | 122 | 5.7k | ||
| Thomas W. Buford United States | 40 | 2.7k 1.3× | 1.8k 1.5× | 400 0.6× | 127 0.2× | 405 0.8× | 150 | 5.6k | ||
| Marta González‐Freire United States | 38 | 1.4k 0.7× | 1.4k 1.2× | 440 0.6× | 287 0.4× | 179 0.3× | 76 | 4.3k | ||
| Rachel A. Murphy Canada | 34 | 3.4k 1.6× | 604 0.5× | 435 0.6× | 211 0.3× | 711 1.3× | 135 | 5.5k | ||
| Anna Picca Italy | 49 | 3.7k 1.8× | 3.3k 2.8× | 1.3k 1.9× | 226 0.3× | 643 1.2× | 202 | 7.8k |
Countries citing papers authored by Kim M. Huffman
Since
Specialization
Citations
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
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
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
1.
Starr, Kathryn N. Porter, Margery A. Connelly, Qimin Zhang, et al.. (2025). Effects of Blueberry Consumption on Fecal Microbiome Composition and Circulating Metabolites, Lipids, and Lipoproteins in a Randomized Controlled Trial of Older Adults with Overweight or Obesity: The BEACTIVE Trial. Nutrients. 17(7). 1200–1200.
2.
Ma, Sisi, Monica J. Hubal, Matthew Morris, et al.. (2025). Sex-specific skeletal muscle gene expression responses to exercise reveal novel direct mediators of insulin sensitivity change. PubMed. 2(2). ugaf010–ugaf010.
3.
Pino, Maria F., Cynthia L. Stowe, Nicolas Musi, et al.. (2025). Effects of habitual endurance and resistance exercise on insulin action in primary human skeletal muscle stem cells. Physiological Reports. 13(19). e70600–e70600.
4.
Merali, Carmen, Kim M. Huffman, Carl F. Pieper, et al.. (2024). Sustained caloric restriction potentiates insulin action by activating prostacyclin synthase. Obesity. 32(12). 2286–2298.
5.
Ryan, Calen P., David L. Corcoran, Nirad Banskota, et al.. (2024). The CALERIE Genomic Data Resource. Nature Aging. 5(2). 320–331.
6.
Das, Jayanta Kumar, Nirad Banskota, Julián Candia, et al.. (2023). Calorie restriction modulates the transcription of genes related to stress response and longevity in human muscle: The CALERIE study. Aging Cell. 22(12). e13963–e13963.
7.
Andonian, Brian J., Leanna M. Ross, Lucy W. Piner, et al.. (2023). Remotely Supervised Weight Loss and Exercise Training to Improve Rheumatoid Arthritis Cardiovascular Risk: Rationale and Design of the Supervised Weight Loss Plus Exercise Training‐Rheumatoid Arthritis Trial. ACR Open Rheumatology. 5(5). 252–263.
8.
Collins, Katherine A., William E. Kraus, Renee J. Rogers, et al.. (2023). Effect of behavioral weight‐loss program on biomarkers of cardiometabolic disease risk: Heart Health Study randomized trial. Obesity. 31(2). 338–349.
9.
Orenduff, Melissa C., Michael F. Coleman, Kim M. Huffman, et al.. (2022). Differential effects of calorie restriction and rapamycin on age-related molecular and functional changes in skeletal muscle. Experimental Gerontology. 165. 111841–111841.
10.
Smith‐Ryan, Abbie E., Malia N.M. Blue, Katie R. Hirsch, et al.. (2020). Metabolic and physiological effects of high intensity interval training in patients with knee osteoarthritis: A pilot and feasibility study. SHILAP Revista de lepidopterología. 2(4). 100083–100083.
11.
Colón‐Emeric, Cathleen, Heather E. Whitson, Carl F. Pieper, et al.. (2019). Resiliency Groups Following Hip Fracture in Older Adults. Journal of the American Geriatrics Society. 67(12). 2519–2527.
12.
Allen, Kelli D., Dennis Bongiorni, Kevin Caves, et al.. (2019). STepped exercise program for patients with knee OsteoArthritis (STEP-KOA): protocol for a randomized controlled trial. BMC Musculoskeletal Disorders. 20(1). 254–254.
13.
Johnson, Johanna L., Cris A. Slentz, Leanna M. Ross, Kim M. Huffman, & William E. Kraus. (2019). Ten-Year Legacy Effects of Three Eight-Month Exercise Training Programs on Cardiometabolic Health Parameters. Frontiers in Physiology. 10. 452–452.
14.
Allen, Kelli D., Liubov Arbeeva, Todd A. Schwartz, et al.. (2018). Associations of number of physical therapy visits and frequency of use of an internet-based exercise training program with knee osteoarthritis outcomes. Osteoarthritis and Cartilage. 26. S335–S336.
15.
Iversen, Maura D., Todd A. Schwartz, Johan von Heideken, et al.. (2018). Sociodemographic and Clinical Correlates of Physical Therapy Utilization in Adults With Symptomatic Knee Osteoarthritis. Physical Therapy. 98(8). 670–678.
16.
Bartlett, David B., Cris A. Slentz, Margery A. Connelly, et al.. (2017). Association of the Composite Inflammatory Biomarker GlycA, with Exercise‐Induced Changes in Body Habitus in Men and Women with Prediabetes. Oxidative Medicine and Cellular Longevity. 2017(1).
17.
Stanifer, John W., Lawrence R. Landerman, Carl F. Pieper, Kim M. Huffman, & William E. Kraus. (2017). Relations of established aging biomarkers (IL-6, D-dimer, s-VCAM) to glomerular filtration rate and mortality in community-dwelling elderly adults. Clinical Kidney Journal. 11(3). 377–382.
18.
Barberio, Matthew D., Kim M. Huffman, Mamta Giri, et al.. (2016). Pyruvate Dehydrogenase Phosphatase Regulatory Gene Expression Correlates with Exercise Training Insulin Sensitivity Changes. Medicine & Science in Sports & Exercise. 48(12). 2387–2397.
19.
AbouAssi, Hiba, Cris A. Slentz, Catherine R. Mikus, et al.. (2015). The effects of aerobic, resistance, and combination training on insulin sensitivity and secretion in overweight adults from STRRIDE AT/RT: a randomized trial. Journal of Applied Physiology. 118(12). 1474–1482.
20.
Huffman, Kim M., Gregory P. Samsa, Cris A. Slentz, et al.. (2006). Response of high-sensitivity C-reactive protein to exercise training in an at-risk population. American Heart Journal. 152(4). 793–800.
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.
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