Bingfen Yang

658 citations
18 papers · 558 · h-index 11

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • MicroRNA in disease regulation

Papers in

    • Immune Cell Function and Interaction 11
    • T-cell and B-cell Immunology 4
    • Immune cells in cancer 2
    • Tuberculosis Research and Epidemiology 5

Bingfen Yang

18 papers receiving 547 citations

Peers

Bingfen Yang
Comparison fields: 5 of 57
  • Immunology 302
  • Cancer Research 126
  • Infectious Diseases 156
  • Virology 19
  • Epidemiology 131
Replace Shaojing Chang with:
Shaojing Chang United States
S. Rameeza Allie United States
Julia Benckert Germany
Ana Rodríguez‐Galán Spain
Marco Künzli Switzerland
Katja Kleinsteuber Germany
Elaine O Costelloe Australia
Rilin Deng China
Qinghuang Chen China
Bingfen Yang relative to Shaojing Chang United States Shaojing Chang's profile →
Citations per field
00.5×3.5×
Shaojing Chang · 1×
Citations per year

Countries citing papers authored by Bingfen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Bingfen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011140
2 2014121
3 201646
4 201546
5 201546
6 201239
7 201334
8 201323
9 201812
10 200712
11 202210
12 20238
13 20146
14 20155
15 20244
16 20223
17 20242
18
[Expression of CD160 in natural killer (NK) cells from patients with active tuberculosis and its relationship with cell functions].
20221

About Bingfen Yang

Bingfen Yang is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Cancer Research and Epidemiology, having authored 18 papers that have together received 558 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Tuberculosis Research and Epidemiology (5 papers), T-cell and B-cell Immunology (4 papers), MicroRNA in disease regulation (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), RNA modifications and cancer (2 papers), Immune cells in cancer (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Immunology (302 citations), Cancer Research (126 citations), Infectious Diseases (156 citations), Virology (19 citations) and Epidemiology (131 citations). Bingfen Yang has collaborated with scholars based in China. Frequent co-authors include Xiaoxing Cheng, Zhihong Cao, Jing Jiang, Xinjing Wang, Jing Jiang, Yanhua Liu, Yanhua Liu, Ruo Wang, Xinjing Wang and Guangyu Zhang. Their work appears in journals such as Molecular Immunology, Tuberculosis, Journal of Infection, American Journal of Respiratory and Critical Care Medicine and iScience.

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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