Xiaolin Li

1.8k citations
54 papers · 1.4k · h-index 17

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Erythrocyte Function and Pathophysiology 4
    • Diet and metabolism studies 3

Xiaolin Li

46 papers receiving 1.3k citations

Peers

Xiaolin Li
Comparison fields: 5 of 116
  • Cell Biology 204
  • Endocrinology, Diabetes and Metabolism 150
  • Genetics 252
  • Physiology 214
  • Molecular Biology 514
Replace Stephen R. Jaspers with:
Stephen R. Jaspers United States
Béatrice Conne Switzerland
Terence P. Herbert United Kingdom
Jaekyoon Shin South Korea
Robert F. Santerre United States
Gregory A. Michelotti United States
Zoya Galcheva-Gargova United States
Dana Chuderland Israel
Satoko Aratani Japan
Nachum Reiss Israel
Xiaolin Li relative to Stephen R. Jaspers United States Stephen R. Jaspers's profile →
Citations per field
00.5×
Stephen R. Jaspers · 1×
Citations per year

Countries citing papers authored by Xiaolin Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002286
2 2000248
3 1998186
4 199895
5 199658
6 200248
7 200844
8 200036
9 200235
10 202132
11 201228
12 202025
13 201920
14 201820
15 201819
16 202018
17 202016
18 199616
19 199714
20 201612

About Xiaolin Li

Xiaolin Li is a scholar working on Molecular Biology, Physiology, Genetics, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Estrogen and related hormone effects (3 papers), Diphtheria, Corynebacterium, and Tetanus (3 papers), Veterinary medicine and infectious diseases (3 papers), Diet and metabolism studies (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cell Biology (204 citations), Endocrinology, Diabetes and Metabolism (150 citations), Genetics (252 citations), Physiology (214 citations) and Molecular Biology (514 citations). Xiaolin Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Vann Bennett, Yoichiro Matsuoka, Donald P. McDonnell, Deborah A. Meyers, Jianfeng Xu, Timothy D. Howard, David M. Reboussin, Gregory A. Hawkins, David M. Herrington and K. Bridget Brosnihan. Their work appears in journals such as Food & Function, Journal of Virology, Journal of Biological Chemistry, Frontiers in Pharmacology and BMC Family Practice.

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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