Kelvin W. Li

2.5k total citations
33 papers, 1.2k citations indexed

About

Kelvin W. Li is a scholar working on Epidemiology, Molecular Biology and Rheumatology. According to data from OpenAlex, Kelvin W. Li has authored 33 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Molecular Biology and 7 papers in Rheumatology. Recurrent topics in Kelvin W. Li's work include Liver Disease Diagnosis and Treatment (11 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Diet, Metabolism, and Disease (4 papers). Kelvin W. Li is often cited by papers focused on Liver Disease Diagnosis and Treatment (11 papers), Osteoarthritis Treatment and Mechanisms (6 papers) and Diet, Metabolism, and Disease (4 papers). Kelvin W. Li collaborates with scholars based in United States, United Kingdom and Australia. Kelvin W. Li's co-authors include Marc K. Hellerstein, Scott Turner, William E. Holmes, Robert L. Sah, John C. Price, Claire Emson, Amanda K. Williamson, Martin Decaris, Michelle Gatmaitan and Mahalakshmi Shankaran and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Kelvin W. Li

32 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kelvin W. Li United States 18 347 258 257 253 200 33 1.2k
Mirjana Ziemer Germany 23 288 0.8× 207 0.8× 355 1.4× 137 0.5× 148 0.7× 138 1.7k
Gayle G. Vaday Israel 17 396 1.1× 102 0.4× 123 0.5× 141 0.6× 181 0.9× 18 1.6k
Richard J. Fish Switzerland 21 586 1.7× 87 0.3× 113 0.4× 144 0.6× 162 0.8× 51 1.5k
Mitsuhiro Ohshima Japan 22 572 1.6× 97 0.4× 122 0.5× 231 0.9× 102 0.5× 57 1.4k
Nobuyuki Ohguro Japan 29 587 1.7× 481 1.9× 290 1.1× 113 0.4× 61 0.3× 69 2.6k
Marion A. Cooley United States 19 694 2.0× 98 0.4× 68 0.3× 326 1.3× 143 0.7× 53 1.5k
Margaret J. Springett United States 12 507 1.5× 103 0.4× 288 1.1× 269 1.1× 236 1.2× 15 1.5k
Greg Parsonage United Kingdom 14 516 1.5× 246 1.0× 73 0.3× 78 0.3× 108 0.5× 17 1.5k
Stacy Porvasnik United States 21 505 1.5× 72 0.3× 134 0.5× 52 0.2× 332 1.7× 47 1.3k
Stefanie Löffek Germany 17 503 1.4× 92 0.4× 67 0.3× 255 1.0× 95 0.5× 24 1.4k

Countries citing papers authored by Kelvin W. Li

Since Specialization
Citations

This map shows the geographic impact of Kelvin W. Li'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 Kelvin W. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kelvin W. Li more than expected).

Fields of papers citing papers by Kelvin W. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelvin W. Li. 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 Kelvin W. Li. The network helps show where Kelvin W. Li may publish in the future.

Co-authorship network of co-authors of Kelvin W. Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kelvin W. Li. A scholar is included among the top collaborators of Kelvin W. Li 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 Kelvin W. Li. Kelvin W. Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shankaran, Mahalakshmi, Kelvin W. Li, Mark Fitch, et al.. (2025). Metabolic labeling kinetics of brain-derived 24S-hydroxycholesterol in blood in multiple sclerosis: Effects of treatment with the remyelinating antibody rHIgM22. Multiple Sclerosis Journal - Experimental Translational and Clinical. 11(2). 3120707755–3120707755.
2.
Lawitz, Eric, Kelvin W. Li, Edna Nyangau, et al.. (2022). Elevated de novo lipogenesis, slow liver triglyceride turnover, and clinical correlations in nonalcoholic steatohepatitis patients. Journal of Lipid Research. 63(9). 100250–100250. 19 indexed citations
3.
Li, Kelvin W., Adina Alazraki, Carine Beysen, et al.. (2021). Dietary sugar restriction reduces hepatic de novo lipogenesis in adolescent boys with fatty liver disease. Journal of Clinical Investigation. 131(24). 51 indexed citations
4.
Zarnitsyna, Veronika I., Rama Akondy, Hasan Ahmed, et al.. (2021). Dynamics and turnover of memory CD8 T cell responses following yellow fever vaccination. PLoS Computational Biology. 17(10). e1009468–e1009468. 12 indexed citations
5.
Nallasamy, Shanmugasundaram, Hector H. Palacios, Kelvin W. Li, et al.. (2021). Transcriptome and proteome dynamics of cervical remodeling in the mouse during pregnancy. Biology of Reproduction. 105(5). 1257–1271. 16 indexed citations
8.
Murphy, C. H., Mahalakshmi Shankaran, Tyler A. Churchward‐Venne, et al.. (2018). Effect of resistance training and protein intake pattern on myofibrillar protein synthesis and proteome kinetics in older men in energy restriction. The Journal of Physiology. 596(11). 2091–2120. 43 indexed citations
9.
Burger, Jan A., Kelvin W. Li, Michael J. Keating, et al.. (2017). Leukemia cell proliferation and death in chronic lymphocytic leukemia patients on therapy with the BTK inhibitor ibrutinib. JCI Insight. 2(2). e89904–e89904. 69 indexed citations
10.
Carson, Richard H., et al.. (2017). Imaging regiospecific lipid turnover in mouse brain with desorption electrospray ionization mass spectrometry. Journal of Lipid Research. 58(9). 1884–1892. 19 indexed citations
11.
Decaris, Martin, Kelvin W. Li, Claire Emson, et al.. (2016). Identifying nonalcoholic fatty liver disease patients with active fibrosis by measuring extracellular matrix remodeling rates in tissue and blood. Hepatology. 65(1). 78–88. 75 indexed citations
12.
Decaris, Martin, Claire Emson, Kelvin W. Li, et al.. (2015). Turnover Rates of Hepatic Collagen and Circulating Collagen-Associated Proteins in Humans with Chronic Liver Disease. PLoS ONE. 10(4). e0123311–e0123311. 45 indexed citations
13.
Shankaran, Mahalakshmi, Chelsea King, Thomas E. Angel, et al.. (2015). Circulating protein synthesis rates reveal skeletal muscle proteome dynamics. Journal of Clinical Investigation. 126(1). 288–302. 65 indexed citations
15.
Li, Kelvin W., Susmita Shrivastava, Jayati Bera, et al.. (2012). Automated degenerate PCR primer design for high-throughput sequencing improves efficiency of viral sequencing. Virology Journal. 9(1). 261–261. 26 indexed citations
16.
Wagner, Diane R., Derek P. Lindsey, Kelvin W. Li, et al.. (2008). Hydrostatic Pressure Enhances Chondrogenic Differentiation of Human Bone Marrow Stromal Cells in Osteochondrogenic Medium. Annals of Biomedical Engineering. 36(5). 813–820. 131 indexed citations
17.
Jadin, Kyle D., Benjamin L. Wong, Won C. Bae, et al.. (2005). Depth-varying Density and Organization of Chondrocytes in Immature and Mature Bovine Articular Cartilage Assessed by 3D Imaging and Analysis. Journal of Histochemistry & Cytochemistry. 53(9). 1109–1119. 86 indexed citations
19.
Li, Kelvin W., et al.. (2001). Growth Responses of Cartilage to Static and Dynamic Compression. Clinical Orthopaedics and Related Research. 391(391 Suppl). S34–S48. 48 indexed citations
20.
Li, Kelvin W., et al.. (2000). Mechanical compression modulates proliferation of transplanted chondrocytes. Journal of Orthopaedic Research®. 18(3). 374–382. 20 indexed citations

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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