Baijun Li

506 citations
26 papers · 376 · 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
    • Epigenetics and DNA Methylation 3
    • RNA modifications and cancer 2

Baijun Li

26 papers receiving 374 citations

Peers

Baijun Li
Comparison fields: 5 of 91
  • Hepatology 39
  • Immunology 59
  • Oncology 62
  • Epidemiology 70
  • Cancer Research 19
Replace Seohyun Kim with:
Seohyun Kim South Korea
Linxiao Fan China
Н. Д. Газатова Russia
Xiaojie Yu China
Lei Dou China
Yong Zeng China
Taiji Watanabe Japan
Hongjun Bian China
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Baijun Li relative to Seohyun Kim South Korea Seohyun Kim's profile →
Citations per field
00.5×4.8×
Seohyun Kim · 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 201543
3 201332
4 201930
5 202130
6 202423
7 201722
8 202019
9 202218
10 201815
11 201514
12 200813
13 202412
14 201311
15 20248
16 20227
17 20216
18 20206
19 20245
20 20165

About Baijun Li

Baijun Li is a scholar working on Oncology, Molecular Biology, Epidemiology, Pulmonary and Respiratory Medicine and Immunology, having authored 26 papers that have together received 376 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Postharvest Quality and Shelf Life Management (2 papers), Immunotherapy and Immune Responses (2 papers), Chemokine receptors and signaling (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), RNA modifications and cancer (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Hepatology (39 citations), Immunology (59 citations), Oncology (62 citations), Epidemiology (70 citations) and Cancer Research (19 citations). Baijun Li has collaborated with scholars based in China, India and Bangladesh. Frequent co-authors include Hui Lin, Zhiwei Wang, Jiao Lan, Xiangwei Li, Luocheng Li, Zhipeng Hu, Hao Zhang, Zong-Li Ren, Zhi Li and Hongbing Wu. Their work appears in journals such as BMC Pulmonary Medicine, Oxidative Medicine and Cellular Longevity, IUBMB Life, Neuropeptides and Diagnostic Pathology.

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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