Baijun Li

484 citations
24 papers · 370 · h-index 12

Impact in

    • Chemokine receptors and signaling
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Hepatitis B Virus Studies

Papers in

    • Lung Cancer Research Studies 4
    • Chemokine receptors and signaling 3
    • Drug Transport and Resistance Mechanisms 1
    • Hepatitis B Virus Studies 4

Baijun Li

24 papers receiving 367 citations

Peers

Baijun Li
Comparison fields: 5 of 58
  • Oncology 63
  • Epidemiology 76
  • Cancer Research 20
  • Biomaterials 17
  • Immunology 23
Replace Dae Kwang Jung with:
Dae Kwang Jung United States
Sudarshan Ravi Malla United States
Ke Nan China
Kelly A. Correll United States
Yi You China
Serena Maiocchi Italy
Lily Koumbas Foley United Kingdom
Jaime Lindsay United Kingdom
Shenna Y. Langenbach Australia
Baijun Li relative to Dae Kwang Jung United States Dae Kwang Jung's profile →
Citations per field
00.5×2×2.6×
Dae Kwang Jung · 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 24 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 201516
11 201816
12 202412
13 201311
14 20228
15 20206
16 20216
17 20165
18 20245
19 20234
20 20203

About Baijun Li

Baijun Li is a scholar working on Oncology, Epidemiology, Biomaterials, Cancer Research and Infectious Diseases, having authored 24 papers that have together received 370 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (4 papers), Lung Cancer Research Studies (4 papers), Chemokine receptors and signaling (3 papers), COVID-19 Clinical Research Studies (2 papers), Postharvest Quality and Shelf Life Management (2 papers), Cancer, Hypoxia, and Metabolism (1 paper), Protease and Inhibitor Mechanisms (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Oncology (63 citations), Epidemiology (76 citations), Cancer Research (20 citations), Biomaterials (17 citations) and Immunology (23 citations). Baijun Li has collaborated with scholars based in China, India and Bangladesh. Frequent co-authors include Hui Lin, Zhiwei Wang, Jiao Xia Lan, Luocheng Li, Hongbing Wu, Zong-Li Ren, Zhipeng Hu, Hao Zhang, Zhi Li and Sheng Chen. Their work appears in journals such as Medical Oncology, International Journal of Oncology, International Journal of Medical Sciences, Molecular and Cellular Biochemistry and Oxidative Medicine and Cellular Longevity.

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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