Bing Li

4.1k citations
112 papers · 3.0k indexed · h-index 33

Impact in

  • Virology top 2%
    • HIV Research and Treatment
  • Immunology top 2%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation

Papers in

    • Immune cells in cancer 16
    • Immune Cell Function and Interaction 13
    • Immune Response and Inflammation 10
    • Aquaculture disease management and microbiota 7
    • HIV Research and Treatment 9

Bing Li

106 papers receiving 3.0k citations

Peers

Bing Li
Comparison fields: 5 of 132
  • Virology 283
  • Immunology 1.0k
  • Cancer Research 583
  • Molecular Biology 1.5k
  • Biochemistry 116
Replace Christina Barja‐Fidalgo with:
Christina Barja‐Fidalgo Brazil
Dhirendra P. Singh United States
Massimo Sanchez Italy
Tao Du China
Roberta Nardacci Italy
Charles Kunsch United States
Artin Mahboubi United States
Volker Blank Canada
Marina Gritsenko United States
P. Rieber Germany
Bing Li relative to Christina Barja‐Fidalgo Brazil Christina Barja‐Fidalgo's profile →
Citations per field
00.5×
Christina Barja‐Fidalgo · 1×
Citations per year

Countries citing papers authored by Bing Li

Since Specialization
Citations

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

Fields of papers citing papers by Bing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 202327
5 20231
6 20220
7 20211
8 202119
9 202132
10 202082
11 20203
12 20191
13 2018118
14 201829
15 201535
16 2014111
17 201016
18 200876
19 20065
20
Yeast beta-glucan amplifies phagocyte killing of iC3b-opsonized tumor cells via CR3-Syk-PI3-kinase pathway.
20062

About Bing Li

Bing Li is a scholar working on Immunology, Virology, Cancer Research, Physiology and Molecular Biology, having authored 112 papers that have together received 3.0k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (21 papers), Immune cells in cancer (16 papers), Immune Cell Function and Interaction (13 papers), Cancer, Lipids, and Metabolism (13 papers), Immune Response and Inflammation (10 papers), HIV Research and Treatment (9 papers), Aquaculture disease management and microbiota (7 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Virology (283 citations), Immunology (1.0k citations), Cancer Research (583 citations), Molecular Biology (1.5k citations) and Biochemistry (116 citations). Bing Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Edward R. Sauter, Jiaqing Hao, Jun Zeng, Enyu Rao, Yuwen Zhang, Yanwen Sun, Margot P. Cleary, Lining Miao, Lu Cai and Fei Yan. Their work appears in journals such as Cancer Research, Oncotarget, Journal of Virology, The Journal of Immunology and eLife.

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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