Bing Wan

4.0k citations
98 papers · 3.0k · h-index 28

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers

Papers in

Bing Wan

95 papers receiving 3.0k citations

Peers

Bing Wan
Comparison fields: 5 of 124
  • Immunology 747
  • Oncology 481
  • Genetics 187
  • Cancer Research 259
  • Pulmonary and Respiratory Medicine 404
Replace Xiangdong Zhu with:
Xiangdong Zhu United States
Weiguo Hu China
Gernot Schabbauer Austria
H Baumann United States
Yongchang Qiu United States
Gwenny M. Fuhler Netherlands
Nicole C. Kaneider Austria
Wenli Liu China
Mark R. Frey United States
Xuebin Qin United States
Bing Wan relative to Xiangdong Zhu United States Xiangdong Zhu's profile →
Citations per field
00.5×2×2.6×
Xiangdong Zhu · 1×
Citations per year

Countries citing papers authored by Bing Wan

Since Specialization
Citations

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

Fields of papers citing papers by Bing Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013429
2 2006208
3 2019138
4 2019120
5 2013119
6 2019112
7 2010111
8 2013110
9 2006101
10 2014100
11 201982
12 201379
13 201955
14 201749
15 201446
16 201846
17 201645
18 201843
19 201439
20 202038

About Bing Wan

Bing Wan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Immunology, Surgery and Epidemiology, having authored 98 papers that have together received 3.0k indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (5 papers), Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (5 papers), Lung Cancer Treatments and Mutations (4 papers), Lung Cancer Research Studies (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Immune Cell Function and Interaction (4 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Immunology (747 citations), Oncology (481 citations), Genetics (187 citations), Cancer Research (259 citations) and Pulmonary and Respiratory Medicine (404 citations). Bing Wan has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Jingwu Z. Zhang, Tangfeng Lv, Dongyi He, Hong Nie, Ping Zhan, Yong Song, Taylor B. Guo, Xuebin Liu, Haiyan Fu and Lei Fang. Their work appears in journals such as Translational Lung Cancer Research, ACS Applied Materials & Interfaces, Journal of Cellular and Molecular Medicine, The Journal of Immunology and Journal of Critical Care.

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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