Fenglin Wu
Impact in
- General Energy top 10%
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 17
- CAR-T cell therapy research 12
- Immunology 14
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 4
- Co-authors
- Hongwei Shao (21 shared papers)Wenfeng Zhang (20 shared papers)Han Shen (21 shared papers)Huaben Bo (17 shared papers)Shulin Huang (9 shared papers)Changli Tao (13 shared papers)Jiaqi Zhou (2 shared papers)Qizhu Chen (4 shared papers)
- Journals
- Physical review. A (3 papers)Cancer Letters (2 papers)Genes (2 papers)International Review of Financial Analysis (1 paper)Gene (1 paper)
- Partner nations
- China
In The Last Decade
Fenglin Wu
47 papers receiving 381 citations
Peers
Comparison fields: 5 of 99
- General Energy 9
- Immunology 98
- Oncology 113
- Molecular Biology 116
- Genetics 43
Countries citing papers authored by Fenglin Wu
This map shows the geographic impact of Fenglin Wu'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 Fenglin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fenglin Wu more than expected).
Fields of papers citing papers by Fenglin Wu
This network shows the impact of papers produced by Fenglin Wu. 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 Fenglin Wu. The network helps show where Fenglin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fenglin Wu, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 39 | |
| 2 | 2023 | 38 | |
| 3 | 2013 | 36 | |
| 4 | 2018 | 20 | |
| 5 | 2010 | 19 | |
| 6 | 2012 | 19 | |
| 7 | 2022 | 16 | |
| 8 | 2020 | 15 | |
| 9 | 2014 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2012 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2019 | 10 | |
| 14 | 2012 | 10 | |
| 15 | 2023 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 6 |
About Fenglin Wu
Fenglin Wu is a scholar working on Oncology, Immunology, Molecular Biology, Genetics and Economics and Econometrics, having authored 55 papers that have together received 390 indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Immune Cell Function and Interaction (9 papers), Market Dynamics and Volatility (6 papers), Immunotherapy and Immune Responses (5 papers), Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (4 papers), Quantum Computing Algorithms and Architecture (3 papers) and Quantum and electron transport phenomena (3 papers). The work is most often cited by research in General Energy (9 citations), Immunology (98 citations), Oncology (113 citations), Molecular Biology (116 citations) and Genetics (43 citations). Fenglin Wu has collaborated with scholars based in China. Frequent co-authors include Hongwei Shao, Wenfeng Zhang, Han Shen, Huaben Bo, Shulin Huang, Changli Tao, Jiaqi Zhou, Qizhu Chen, Wenli Ma and Yichen Liu. Their work appears in journals such as Physical review. A, Cancer Letters, Genes, International Review of Financial Analysis and Gene.
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.