Wenliang Pan
- Biotechnology top 2%
- Transgenic Plants and Applications 6
- Immunology top 5%
- Immune Cell Function and Interaction 11
- Toxin Mechanisms and Immunotoxins 10
- T-cell and B-cell Immunology 9
- Insect Science top 5%
- Insect and Pesticide Research 7
- Insect-Plant Interactions and Control 7
- Statistics and Probability top 5%
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research 8
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- Systemic Lupus Erythematosus Research 6
- Co-authors
- Tzi Bun NgYau Sang ChanJack Ho WongEvandro Fei FangRandy Chi Fai CheungXiuli DanGeorge C. TsokosMaria Tsokos
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Communications (1 paper)Journal of the American Statistical Association (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Wenliang Pan
62 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 133
- Biotechnology 224
- Immunology 539
- Insect Science 179
- Statistics and Probability 105
- Molecular Biology 807
Countries citing papers authored by Wenliang Pan
This map shows the geographic impact of Wenliang Pan'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 Wenliang Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenliang Pan more than expected).
Fields of papers citing papers by Wenliang Pan
This network shows the impact of papers produced by Wenliang Pan. 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 Wenliang Pan. The network helps show where Wenliang Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wenliang Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 10 | |
| 7 | 2022 | 34 | |
| 8 | 2020 | 14 | |
| 9 | 2018 | 14 | |
| 10 | 2016 | 16 | |
| 11 | 2013 | 37 | |
| 12 | 2012 | 68 | |
| 13 | 2012 | 20 | |
| 14 | 2012 | 28 | |
| 15 | 2012 | 67 | |
| 16 | 2011 | 82 | |
| 17 | 2011 | 48 | |
| 18 | 2011 | 43 | |
| 19 | 2009 | 111 | |
| 20 | 2008 | 24 |
About Wenliang Pan
Wenliang Pan is a scholar working on Immunology, Biotechnology and Insect Science, having authored 67 papers that have together received 1.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), Toxin Mechanisms and Immunotoxins (10 papers), T-cell and B-cell Immunology (9 papers), Glycosylation and Glycoproteins Research (8 papers), Insect and Pesticide Research (7 papers), Insect-Plant Interactions and Control (7 papers), Systemic Lupus Erythematosus Research (6 papers) and Transgenic Plants and Applications (6 papers). The work is most often cited by research in Biotechnology (224 citations), Immunology (539 citations) and Insect Science (179 citations). Wenliang Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tzi Bun Ng, Yau Sang Chan, Jack Ho Wong, Evandro Fei Fang, Randy Chi Fai Cheung, Xiuli Dan, George C. Tsokos, Maria Tsokos, Xueqin Wang and Nobuya Yoshida. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of the American Statistical Association.
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.