Baijun Li

529 citations
26 papers · 398 · h-index 13

Impact in

    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • Chemokine receptors and signaling 2
    • Cytokine Signaling Pathways and Interactions 2
    • Immunotherapy and Immune Responses 2

Baijun Li

26 papers receiving 395 citations

Peers

Baijun Li
Comparison fields: 5 of 91
  • Hepatology 42
  • Immunology 61
  • Oncology 65
  • Epidemiology 75
  • Cell Biology 23
Replace Fei Fei Gao with:
Fei Fei Gao China
David Conegliano United States
Bráulio Henrique Freire Lima Brazil
Linxiao Fan China
Lei Dou China
Н. Д. Газатова Russia
Jie Zhong China
Hongjun Bian China
Hongwei Zhao China
Baijun Li relative to Fei Fei Gao China Fei Fei Gao's profile →
Citations per field
00.5×1.5×2.2×
Fei Fei Gao · 1×
Citations per year

Countries citing papers authored by Baijun Li

Since Specialization
Citations

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

Fields of papers citing papers by Baijun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201245
2 201544
3 202134
4 201333
5 201932
6 202425
7 201722
8 202019
9 202218
10 202417
11 201516
12 201816
13 200813
14 201311
15 202411
16 20228
17 20206
18 20216
19 20165
20 20245

About Baijun Li

Baijun Li is a scholar working on Oncology, Immunology, Epidemiology, Biomaterials and Cancer Research, having authored 26 papers that have together received 398 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Chemokine receptors and signaling (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), RNA modifications and cancer (2 papers), Immunotherapy and Immune Responses (2 papers), Postharvest Quality and Shelf Life Management (2 papers) and Quantum and electron transport phenomena (1 paper). The work is most often cited by research in Hepatology (42 citations), Immunology (61 citations), Oncology (65 citations), Epidemiology (75 citations) and Cell Biology (23 citations). Baijun Li has collaborated with scholars based in China, Bangladesh and India. Frequent co-authors include Hui Lin, Zhiwei Wang, Jiao Xia Lan, Xiangwei Li, Luocheng Li, Zong-Li Ren, Zhi Li, Hao Zhang, Zhipeng Hu and Hongbing Wu. Their work appears in journals such as The Annals of Thoracic Surgery, Hepatology International, Food Chemistry, Nature Medicine and Oncology Reports.

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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