Li Kang

5.7k total citations · 2 hit papers
81 papers, 4.2k citations indexed

About

Li Kang is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Li Kang has authored 81 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 31 papers in Physiology and 17 papers in Epidemiology. Recurrent topics in Li Kang's work include Adipose Tissue and Metabolism (21 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers) and Metabolism, Diabetes, and Cancer (7 papers). Li Kang is often cited by papers focused on Adipose Tissue and Metabolism (21 papers), Adipokines, Inflammation, and Metabolic Diseases (14 papers) and Metabolism, Diabetes, and Cancer (7 papers). Li Kang collaborates with scholars based in China, United States and United Kingdom. Li Kang's co-authors include David H. Wasserman, P. Darrell Neufer, Chien‐Te Lin, Ethan J. Anderson, Joseph A. Houmard, Daniel A. Kane, Hazel H. Szeto, Peter S. Rabinovitch, Ronald N. Cortright and Kristen E. Boyle and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Li Kang

80 papers receiving 4.2k citations

Hit Papers

Mitochondrial H2O2 emission and cellular redox state link... 2009 2026 2014 2020 2009 2022 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Kang China 31 1.8k 1.8k 757 480 392 81 4.2k
Jin Yu China 41 2.2k 1.2× 1.1k 0.6× 556 0.7× 393 0.8× 351 0.9× 153 5.0k
Armando R. Tovar Mexico 43 2.3k 1.2× 2.0k 1.1× 1.1k 1.4× 472 1.0× 702 1.8× 227 6.6k
Douglas G. Mashek United States 41 2.5k 1.3× 2.0k 1.1× 1.5k 1.9× 626 1.3× 622 1.6× 100 6.2k
Pradip Saha United States 36 2.1k 1.2× 1.8k 1.0× 1.7k 2.3× 445 0.9× 785 2.0× 76 5.5k
Qin Yang United States 29 2.9k 1.6× 1.4k 0.8× 1.6k 2.1× 202 0.4× 331 0.8× 75 5.1k
Wenhong Cao China 37 2.6k 1.4× 2.2k 1.2× 1.4k 1.8× 586 1.2× 584 1.5× 132 5.5k
Annika Höhn Germany 31 1.6k 0.9× 1.0k 0.6× 696 0.9× 556 1.2× 232 0.6× 57 4.1k
Songtao Li China 37 1.5k 0.8× 915 0.5× 1.1k 1.4× 230 0.5× 309 0.8× 164 3.7k
Robert Ringseis Germany 35 1.5k 0.8× 833 0.5× 351 0.5× 253 0.5× 313 0.8× 158 3.8k
Qiang Zhang China 31 1.7k 0.9× 578 0.3× 1.2k 1.6× 497 1.0× 314 0.8× 131 3.9k

Countries citing papers authored by Li Kang

Since Specialization
Citations

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

Fields of papers citing papers by Li Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Li Kang. A scholar is included among the top collaborators of Li Kang 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 Li Kang. Li Kang 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.
Jiang, Hao, et al.. (2024). Deletion of CD44 promotes adipogenesis by regulating PPARγ and cell cycle-related pathways. Journal of Endocrinology. 262(1). 6 indexed citations
2.
Murdoch, Colin E., Annie Hasib, Bo Dong, et al.. (2024). Limiting extracellular matrix expansion in diet-induced obese mice reduces cardiac insulin resistance and prevents myocardial remodelling. Molecular Metabolism. 86. 101970–101970. 1 indexed citations
4.
Rashid, Abdur, Li Kang, Yi Feng, et al.. (2023). Characterization of HIV-1 CRF02_AG/A3/G unique recombinant forms identified among children in Larkana, Pakistan. Frontiers in Cellular and Infection Microbiology. 13. 1284815–1284815. 1 indexed citations
5.
Qing, Chun, et al.. (2023). A global turbulence model shows excellent atmospheric optical turbulence conditions over the Ethiopian plateau during non-rainy season. Monthly Notices of the Royal Astronomical Society. 526(1). 802–807. 4 indexed citations
6.
Liu, Chen-Yu, Qi Long Yi, Liang Wang, et al.. (2023). Latencies to the first interictal epileptiform discharges recorded by the electroencephalography in different epileptic patients. BMC Neurology. 23(1). 427–427. 1 indexed citations
7.
Wasserman, David H., et al.. (2023). Extracellular matrix remodelling in obesity and metabolic disorders. PubMed. 2(4). 34 indexed citations
9.
Wang, Hong, Qian Jiang, Li Kang, et al.. (2022). Rheum officinale and Salvia miltiorrhiza inhibit renal fibrosis via miR-21/PTEN/Akt signaling pathway in vitro and in vivo. Journal of Ethnopharmacology. 304. 115928–115928. 13 indexed citations
10.
Li, Jiangnan, Jie Song, Li Kang, et al.. (2021). pMGF505-7R determines pathogenicity of African swine fever virus infection by inhibiting IL-1β and type I IFN production. PLoS Pathogens. 17(7). e1009733–e1009733. 125 indexed citations
11.
Wang, Wei, Jie Li, Tianyu Li, et al.. (2021). A Method for Assaying of Protein Kinase Activity In Vivo and Its Use in Studies of Signal Transduction in Strawberry Fruit Ripening. International Journal of Molecular Sciences. 22(19). 10495–10495. 3 indexed citations
12.
Fu, Liyuan, Liye Jia, Peipei Han, et al.. (2017). Muscle strength rather than muscle mass is associated with osteoporosis in older Chinese adults. Journal of the Formosan Medical Association. 117(2). 101–108. 30 indexed citations
13.
Han, Peipei, Hairui Yu, Yixuan Ma, et al.. (2017). The increased risk of sarcopenia in patients with cardiovascular risk factors in Suburb-Dwelling older Chinese using the AWGS definition. Scientific Reports. 7(1). 9592–9592. 62 indexed citations
14.
He, Hao, Zhengang Yang, Guangming Zhu, et al.. (2016). Programmed Death Ligand-1 on Microglia Regulates Th1 Differentiation via Nitric Oxide in Experimental Autoimmune Encephalomyelitis. Neuroscience Bulletin. 32(1). 70–82. 20 indexed citations
15.
He, Hao, Tingting Geng, Mei‐Xiang Wang, et al.. (2016). NK cells promote neutrophil recruitment in the brain during sepsis-induced neuroinflammation. Scientific Reports. 6(1). 27711–27711. 58 indexed citations
16.
Williams, Ashley S., Li Kang, & David H. Wasserman. (2015). The extracellular matrix and insulin resistance. Trends in Endocrinology and Metabolism. 26(7). 357–366. 170 indexed citations
17.
Zhu, Guiyu, Li Kang, Qingqing Wei, et al.. (2014). Expression and Regulation of MMP1, MMP3, and MMP9 in the Chicken Ovary in Response to Gonadotropins, Sex Hormones, and TGFB11. Biology of Reproduction. 90(3). 57–57. 57 indexed citations
18.
Lee, Robert S., et al.. (2010). Obesity impairs skeletal muscle AMPK signaling during exercise: role of AMPKα2 in the regulation of exercise capacity in vivo. International Journal of Obesity. 35(7). 982–989. 32 indexed citations
19.
Anderson, Ethan J., Kristen E. Boyle, Tracey Woodlief, et al.. (2009). Mitochondrial H2O2 emission and cellular redox state link excess fat intake to insulin resistance in both rodents and humans. Journal of Clinical Investigation. 119(3). 573–581. 993 indexed citations breakdown →
20.
Xu, Ping, Yuanji Zhang, Li Kang, Marilyn J. Roossinck, & Kirankumar S. Mysore. (2006). Computational Estimation and Experimental Verification of Off-Target Silencing during Posttranscriptional Gene Silencing in Plants. PLANT PHYSIOLOGY. 142(2). 429–440. 172 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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