Bin Wang

4.6k citations
179 papers · 3.3k · h-index 32

Impact in

  • Immunology top 2%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Bin Wang

165 papers receiving 3.3k citations

Peers

Bin Wang
Comparison fields: 5 of 142
  • Immunology 1.1k
  • Cancer Research 593
  • Oncology 753
  • Gastroenterology 108
  • Molecular Biology 1.1k
Replace Tatsuo Kanda with:
Tatsuo Kanda Japan
Dan Huang China
Oliver Waidmann Germany
Katsuya Shiraki Japan
Fabrizio Marcucci Italy
Roni Nowarski Israel
Nisar P. Malek Germany
Renzo Boldorini Italy
Danièl Thomas United States
Eishiro Mizukoshi Japan
Bin Wang relative to Tatsuo Kanda Japan Tatsuo Kanda's profile →
Citations per field
00.5×1.6×
Tatsuo Kanda · 1×
Citations per year

Countries citing papers authored by Bin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001221
2 2016133
3 2004123
4 2010116
5 2009111
6 200494
7 201991
8 201277
9 202275
10 200870
11 201569
12 201665
13 201559
14 202255
15 201555
16 201952
17 200851
18 200948
19 201943
20 201243

About Bin Wang

Bin Wang is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 179 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (20 papers), Immune Cell Function and Interaction (20 papers), T-cell and B-cell Immunology (14 papers), Cancer Cells and Metastasis (14 papers), Cancer Genomics and Diagnostics (13 papers), Ferroptosis and cancer prognosis (11 papers), Extracellular vesicles in disease (11 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Immunology (1.1k citations), Cancer Research (593 citations), Oncology (753 citations), Gastroenterology (108 citations) and Molecular Biology (1.1k citations). Bin Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chyung‐Ru Wang, Yanbiao Geng, Aoshuang Chen, Guoxing Zheng, Huali Jin, Jinduo Li, Rong Jiang, Liwei Sun, Youmin Kang and Xianbao Zhan. Their work appears in journals such as Vaccine, PLoS ONE, Frontiers in Endocrinology, The Journal of Immunology and Scientific Reports.

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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