Lang Li

518 citations
28 papers · 422 · h-index 15

Impact in

Papers in

    • Inflammasome and immune disorders 5
    • Angiogenesis and VEGF in Cancer 1
    • Peroxisome Proliferator-Activated Receptors 1
    • Glutathione Transferases and Polymorphisms 1
    • Atherosclerosis and Cardiovascular Diseases 2

Lang Li

28 papers receiving 416 citations

Peers

Lang Li
Comparison fields: 5 of 68
  • Geriatrics and Gerontology 16
  • Cardiology and Cardiovascular Medicine 77
  • Cancer Research 48
  • Nephrology 20
  • Pathology and Forensic Medicine 48
Replace Yangjing Xue with:
Yangjing Xue China
Yongzheng Guo China
Haixu Song China
Yingqiang Du China
Zhongwen Qi China
Lifeng Feng China
Xianhe Lin China
Zhongqi Yang China
Panagiota K. Stampouloglou Greece
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Citations per field
00.5×2.9×
Yangjing Xue · 1×
Citations per year

Countries citing papers authored by Lang Li

Since Specialization
Citations

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

Fields of papers citing papers by Lang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lang Li, 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 Lang Li Line = papers co-authored together Lang Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201537
2 201333
3 201627
4 202122
5 201722
6 201722
7 201521
8 201920
9 201720
10
Effect of metoprolol on myocardial apoptosis and caspase-9 activation after coronary microembolization in rats.
201319
11 201617
12 201517
13 202115
14 201415
15 202414
16 202312
17 201612
18 201112
19 201412
20 202211

About Lang Li

Lang Li is a scholar working on Molecular Biology, Immunology, Nephrology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 28 papers that have together received 422 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (5 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Atherosclerosis and Cardiovascular Diseases (2 papers), Hippo pathway signaling and YAP/TAZ (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Glutathione Transferases and Polymorphisms (1 paper) and Carcinogens and Genotoxicity Assessment (1 paper). The work is most often cited by research in Geriatrics and Gerontology (16 citations), Cardiology and Cardiovascular Medicine (77 citations), Cancer Research (48 citations), Nephrology (20 citations) and Pathology and Forensic Medicine (48 citations). Lang Li has collaborated with scholars based in China and United States. Frequent co-authors include Qiang Su, Yangchun Liu, Yuhan Sun, Haoliang Li, Huafeng Yang, Tao Liu, Xiantao Wang, Jinmin Zhao, Zhiqing Chen and Tao Li. Their work appears in journals such as Cellular Physiology and Biochemistry, Journal of Cardiovascular Pharmacology and Therapeutics, BMC Cardiovascular Disorders, International Journal of Cardiology and Cardiology.

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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