Xiao‐Kang Li

6.4k citations
190 papers · 5.1k indexed · h-index 38

Impact in

Papers in

    • Immune Cell Function and Interaction 29
    • T-cell and B-cell Immunology 27
    • Immunotherapy and Immune Responses 24

Xiao‐Kang Li

181 papers receiving 5.1k citations

Peers

Xiao‐Kang Li
Comparison fields: 5 of 147
  • Transplantation 164
  • Developmental Neuroscience 230
  • Hepatology 345
  • Immunology 894
  • Molecular Biology 2.1k
Replace Qiang Xia with:
Qiang Xia China
Min Liu China
Kiyoshi Itagaki United States
Richard A. Franklin United States
Gianluca Tell Italy
Olivier Meilhac France
Heinfried H. Radeke Germany
Seiichi Oyadomari Japan
Hui Liao China
Neus Prats Spain
Xiao‐Kang Li relative to Qiang Xia China Qiang Xia's profile →
Citations per field
00.5×1.7×
Qiang Xia · 1×
Citations per year

Countries citing papers authored by Xiao‐Kang Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Kang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20241
5 20243
6 202311
7 20233
8 20237
9 20230
10 202013
11 20182
12 201737
13 20171
14 201558
15 200614
16 200536
17 200330
18 200233
19 200033
20 199680

About Xiao‐Kang Li

Xiao‐Kang Li is a scholar working on Transplantation, Immunology, Hepatology, Developmental Neuroscience and Surgery, having authored 190 papers that have together received 5.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (29 papers), T-cell and B-cell Immunology (27 papers), Organ Transplantation Techniques and Outcomes (25 papers), Immunotherapy and Immune Responses (24 papers), Heme Oxygenase-1 and Carbon Monoxide (16 papers), Liver physiology and pathology (13 papers), Hydrogen's biological and therapeutic effects (12 papers) and RNA Interference and Gene Delivery (11 papers). The work is most often cited by research in Transplantation (164 citations), Developmental Neuroscience (230 citations), Hepatology (345 citations), Immunology (894 citations) and Molecular Biology (2.1k citations). Xiao‐Kang Li has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Masayuki Fujino, Seiichi Suzuki, Shiro Takahara, Hongxiu Ji, Hiromitsu Kimura, Quanxing Wang, Hiroshi Amemiya, Naoko Funeshima, Yusuke Kitazawa and Lin Xie. Their work appears in journals such as International Immunopharmacology, Transplantation, Cell Transplantation, Scientific Reports and Transplant Immunology.

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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