Xiaojun Li

960 citations
44 papers · 768 · h-index 14

Impact in

Papers in

Xiaojun Li

42 papers receiving 760 citations

Peers

Xiaojun Li
Comparison fields: 5 of 75
  • Immunology 220
  • Cardiology and Cardiovascular Medicine 121
  • Immunology and Allergy 31
  • Hepatology 39
  • Rheumatology 71
Replace Ryuji Koshiba with:
Ryuji Koshiba Japan
Lemin Wang China
Sandra S. Snook United States
U Dierssen Germany
Refik Gökmen United Kingdom
J. Augusto Frisancho United States
Ebrahim Eskandari‐Nasab Iran
Pedram Azimzadeh Iran
Natalie L. Stone Australia
M. Jubayer Rahman United States
Xiaojun Li relative to Ryuji Koshiba Japan Ryuji Koshiba's profile →
Citations per field
00.5×3.4×
Ryuji Koshiba · 1×
Citations per year

Countries citing papers authored by Xiaojun Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006150
2 2009120
3 201288
4 201262
5 201442
6 200932
7 201331
8 201931
9 201428
10 201624
11 202118
12 201117
13 201115
14 202014
15 201413
16 202013
17 202012
18 201811
19
[Exploitation and application of "acupuncture manipulation information analysis system"].
20087
20
MLF1 protein is a potential therapy target for lung adenocarcinoma.
20186

About Xiaojun Li

Xiaojun Li is a scholar working on Infectious Diseases, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Epidemiology and Molecular Biology, having authored 44 papers that have together received 768 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Animal Virus Infections Studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Hepatitis B Virus Studies (2 papers), GABA and Rice Research (2 papers), Hepatitis C virus research (2 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Immunology (220 citations), Cardiology and Cardiovascular Medicine (121 citations), Immunology and Allergy (31 citations), Hepatology (39 citations) and Rheumatology (71 citations). Xiaojun Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Prediman K. Shah, Paul C. Dimayuga, Juliana Yano, Kuang‐Yuh Chyu, Bojan Cercek, José Rocha Faria‐Neto, Jun Ma, Choong‐Chin Liew, Weisheng Bao and Steve Mohr. Their work appears in journals such as Virus Research, PLoS ONE, Journal of Pain Research, European Journal of Ophthalmology and Cell Biochemistry and Biophysics.

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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