Li Kang

5.8k citations
83 papers · 4.4k · 2 hit papers · h-index 32

Impact in

Papers in

Li Kang

81 papers receiving 4.4k citations

Li Kang's Hit Papers

The membrane receptor CD44: novel insights into metabolism 2022 · 158 citations
1580+5+11Years since publication2505007501000

Peers

Li Kang
Comparison fields: 5 of 135
  • Physiology 1.5k
  • Geriatrics and Gerontology 87
  • Cell Biology 442
  • Molecular Biology 1.7k
  • Biochemistry 176
Replace Julio Cesar Batista Ferreira with:
Julio Cesar Batista Ferreira Brazil
Wenhong Cao China
Yuehua Li China
Goo Taeg Oh South Korea
Marie‐Agnès Chauvin France
Margaret F. Gregor United States
Ryan P. McMillan United States
Jeong‐a Kim United States
Morgan D. Fullerton Canada
Jimmy F.P. Berbée Netherlands
Li Kang relative to Julio Cesar Batista Ferreira Brazil Julio Cesar Batista Ferreira's profile →
Citations per field
00.5×1.5×
Julio Cesar Batista Ferreira · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Li Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Li Kang Line = papers co-authored together Li Kang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mitochondrial H2O2 emission and cellular redox state link excess fat intake to insulin resistance in both rodents and humans
Hit paper breakdown →
20091032
2 2014218
3 2006186
4 2016183
5 2015176
6 2007161
7
The membrane receptor CD44: novel insights into metabolism
Hit paper breakdown →
2022158
8 2011135
9 2021128
10 2015127
11 2010124
12 2013111
13 200795
14 200794
15 201486
16 201378
17 201072
18 201764
19 201460
20 201660

About Li Kang

Li Kang is a scholar working on Molecular Biology, Physiology, Epidemiology, Cell Biology and Immunology, having authored 83 papers that have together received 4.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (15 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Metabolism, Diabetes, and Cancer (7 papers), Nutrition and Health in Aging (7 papers), Proteoglycans and glycosaminoglycans research (5 papers), Lipid metabolism and biosynthesis (5 papers), Immune cells in cancer (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Physiology (1.5k citations), Geriatrics and Gerontology (87 citations), Cell Biology (442 citations), Molecular Biology (1.7k citations) and Biochemistry (176 citations). Li Kang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include David H. Wasserman, P. Darrell Neufer, Ethan J. Anderson, Chien‐Te Lin, Kristen E. Boyle, Jesse W. Price, Peter S. Rabinovitch, Daniel A. Kane, Tracey Woodlief and Joseph A. Houmard. Their work appears in journals such as Diabetes, PLoS ONE, Journal of Biological Chemistry, Diabetologia and Scientific Reports.

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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