Bing Wan
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
-
- Respiratory Support and Mechanisms 7
- Lung Cancer Treatments and Mutations 6
- Lung Cancer Diagnosis and Treatment 5
- Co-authors
- Jingwu Z. Zhang (5 shared papers)Tangfeng Lv (20 shared papers)Hong Nie (2 shared papers)Dongyi He (2 shared papers)Ping Zhan (16 shared papers)Taylor B. Guo (3 shared papers)Yong Song (13 shared papers)Xuebin Liu (2 shared papers)
- Journals
- Translational Lung Cancer Research (6 papers)ACS Applied Materials & Interfaces (4 papers)Journal of Cellular and Molecular Medicine (4 papers)The Journal of Immunology (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesPortugal
In The Last Decade
Bing Wan
97 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 128
- Immunology 878
- Oncology 595
- Cancer Research 322
- Genetics 219
- Pulmonary and Respiratory Medicine 513
Countries citing papers authored by Bing Wan
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
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.
All Works
Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 418 | |
| 2 | 2006 | 203 | |
| 3 | 2019 | 136 | |
| 4 | 2019 | 118 | |
| 5 | 2013 | 116 | |
| 6 | 2019 | 110 | |
| 7 | 2010 | 107 | |
| 8 | 2013 | 106 | |
| 9 | 2006 | 99 | |
| 10 | 2014 | 98 | |
| 11 | 2019 | 79 | |
| 12 | 2013 | 76 | |
| 13 | 2019 | 51 | |
| 14 | 2017 | 45 | |
| 15 | 2016 | 45 | |
| 16 | 2014 | 45 | |
| 17 | 2018 | 42 | |
| 18 | 2018 | 38 | |
| 19 | 2014 | 38 | |
| 20 | 2020 | 37 |
About Bing Wan
Bing Wan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Immunology, Epidemiology and Cancer Research, having authored 102 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immune Response and Inflammation (9 papers), Immunotherapy and Immune Responses (7 papers), Respiratory Support and Mechanisms (7 papers), Lung Cancer Research Studies (6 papers), Immune Cell Function and Interaction (6 papers), Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Diagnosis and Treatment (5 papers) and Sepsis Diagnosis and Treatment (5 papers). The work is most often cited by research in Immunology (878 citations), Oncology (595 citations), Cancer Research (322 citations), Genetics (219 citations) and Pulmonary and Respiratory Medicine (513 citations). Bing Wan has collaborated with scholars based in China, United States and Portugal. Frequent co-authors include Jingwu Z. Zhang, Tangfeng Lv, Hong Nie, Dongyi He, Ping Zhan, Taylor B. Guo, Yong Song, 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 Frontiers in Immunology.
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.