Wang Fengming

415 citations
4 papers · 356 · h-index 2

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis

Papers in

    • Galectins and Cancer Biology 1
    • Immunotherapy and Immune Responses 1

Wang Fengming

4 papers receiving 350 citations

Peers

Wang Fengming
Comparison fields: 5 of 37
  • Immunology 258
  • Oncology 219
  • Pathology and Forensic Medicine 22
  • Pulmonary and Respiratory Medicine 30
  • Hematology 9
Replace Hideo Omata with:
Hideo Omata Japan
Naoto Miyagawa Japan
Thalina M. Prins Netherlands
Claudia Röefzaad Germany
M.A. Vicente Conesa Spain
Osamu Kawai Japan
U. Gönner Germany
R. Dummer Switzerland
Maria Blumenstein Germany
Ángela Fernández de Lascoiti Spain
Wang Fengming relative to Hideo Omata Japan Hideo Omata's profile →
Citations per field
00.5×10×15×17.5×
Hideo Omata · 1×
Citations per year

Countries citing papers authored by Wang Fengming

Since Specialization
Citations

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

Fields of papers citing papers by Wang Fengming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Wang Fengming, 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 Wang Fengming Line = papers co-authored together Wang Fengming links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 2012346
2
Distinct overexpression of Fas ligand on T lymphocytes in aplastic anemia.
20048
3 20161
4
Expression of negative costimulatroy molecule B7-H4 in non-small cell lung cancer tissues and its clinical significance
20091

About Wang Fengming

Wang Fengming is a scholar working on Immunology, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Oncology, having authored 4 papers that have together received 356 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Galectins and Cancer Biology (1 paper), Immunotherapy and Immune Responses (1 paper), Cell death mechanisms and regulation (1 paper), Cardiac Valve Diseases and Treatments (1 paper), Cancer, Stress, Anesthesia, and Immune Response (1 paper) and Hematopoietic Stem Cell Transplantation (1 paper). The work is most often cited by research in Immunology (258 citations), Oncology (219 citations), Pathology and Forensic Medicine (22 citations), Pulmonary and Respiratory Medicine (30 citations) and Hematology (9 citations). Wang Fengming has collaborated with scholars based in China and United States. Frequent co-authors include Yibei Zhu, Haitao Huang, Jing Sun, Binfeng Lu, Xin Gao, Guangbo Zhang, Gang Li, Qianting Yang, Xueguang Zhang and Wenxin Li. Their work appears in journals such as PLoS ONE, Zhonghua shiyong erke linchuang zazhi and PubMed.

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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