Xiaodong Li

5.3k citations
147 papers · 3.9k indexed · h-index 34

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Xiaodong Li

140 papers receiving 3.9k citations

Peers

Xiaodong Li
Comparison fields: 5 of 151
  • Hepatology 354
  • Cancer Research 425
  • Endocrine and Autonomic Systems 168
  • Molecular Biology 1.7k
  • Cardiology and Cardiovascular Medicine 535
Replace Akihide Tanimoto with:
Akihide Tanimoto Japan
Caroline Wheeler‐Jones United Kingdom
Min Zhang China
Suvro Chatterjee India
Wei Hu China
Thomas Krieg United Kingdom
Dan Wu China
Xiao‐Kang Li Japan
Hui Dong China
Hideyuki Yamawaki Japan
Xiaodong Li relative to Akihide Tanimoto Japan Akihide Tanimoto's profile →
Citations per field
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Akihide Tanimoto · 1×
Citations per year

Countries citing papers authored by Xiaodong Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20242
4 20240
5 20245
6 202410
7 20234
8 20220
9 202252
10 20223
11 20217
12 202146
13 2019125
14
Identification of a novel entecavir-resistant mutation rtL180M+A186T+M204V of hepatitis B virus
20191
15 201546
16 201246
17 201232
18
Tentative establishment of an acquisition platform of HBV sequence and drug resistance information
20101
19
No association exists between E-cadherin gene polymorphism and tumor recurrence in patients with hepatocellular carcinoma after transplantation.
20078
20 2006168

About Xiaodong Li

Xiaodong Li is a scholar working on Hepatology, Cancer Research, Cardiology and Cardiovascular Medicine, Molecular Biology and Cell Biology, having authored 147 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (21 papers), Hepatitis C virus research (20 papers), Liver Disease Diagnosis and Treatment (9 papers), MicroRNA in disease regulation (7 papers), Kruppel-like factors research (6 papers), HIV/AIDS drug development and treatment (6 papers), Cardiac electrophysiology and arrhythmias (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Hepatology (354 citations), Cancer Research (425 citations), Endocrine and Autonomic Systems (168 citations), Molecular Biology (1.7k citations) and Cardiology and Cardiovascular Medicine (535 citations). Xiaodong Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chuo Chen, Stuart L. Schreiber, Feng Li, Pingjin Gao, Ju Chen, Jimo Borjigin, Solomon H. Snyder, Rahul Sanawar, Rakesh Kumar and Dingliang Zhu. Their work appears in journals such as Antiviral Therapy, PLoS ONE, Antiviral Research, Hypertension and Oncotarget.

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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