Min� Li

4.4k citations
212 papers · 2.8k · h-index 29

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 11
    • Hepatitis B Virus Studies 7
    • Organ Transplantation Techniques and Outcomes 4

Min� Li

192 papers receiving 2.8k citations

Peers

Min� Li
Comparison fields: 5 of 182
  • Hepatology 352
  • Pathology and Forensic Medicine 245
  • Immunology 289
  • Epidemiology 397
  • Cancer Research 174
Replace Xiaosong Li with:
Xiaosong Li China
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Xiaochen Wang China
Chia‐Hung Chou Taiwan
John C. S. Chang United States
Antonio Russo Italy
Yifei Li China
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Min� Li relative to Xiaosong Li China Xiaosong Li's profile →
Citations per field
00.5×3.5×
Xiaosong Li · 1×
Citations per year

Countries citing papers authored by Min� Li

Since Specialization
Citations

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

Fields of papers citing papers by Min� Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 212 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012192
2 202084
3 201684
4 201676
5 202273
6 201571
7 201470
8 201767
9 201863
10 201461
11 201960
12
Genetic polymorphism in matrix metalloproteinase-9 and the susceptibility to chronic obstructive pulmonary disease in Han population of south China.
200451
13 201346
14 201546
15 201540
16 200940
17 200736
18 201535
19 201033
20 201732

About Min� Li

Min� Li is a scholar working on Epidemiology, Surgery, Hepatology, Molecular Biology and Oncology, having authored 212 papers that have together received 2.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Drug-Induced Hepatotoxicity and Protection (8 papers), Hepatitis B Virus Studies (7 papers), Liver Diseases and Immunity (7 papers), Liver physiology and pathology (5 papers), Organ Transplantation Techniques and Outcomes (4 papers), Medicinal Plant Pharmacodynamics Research (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Hepatology (352 citations), Pathology and Forensic Medicine (245 citations), Immunology (289 citations), Epidemiology (397 citations) and Cancer Research (174 citations). Min� Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yingxin Zhu, Bin Cao, Yuanyuan Kong, Maohui Luo, Jidong Jia, Tingting Lv, Wei Xu, Sha Chen, S. Joseph Huang and Qin Ouyang. Their work appears in journals such as PLoS ONE, Hepatology International, Frontiers in Public Health, Acupuncture in Medicine and Medicine.

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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