Fanping Wang
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Developmental Neuroscience top 10%
Papers in
-
- Hedgehog Signaling Pathway Studies 3
- Retinoids in leukemia and cellular processes 3
- Epigenetics and DNA Methylation 2
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- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 3
- Immunotherapy and Immune Responses 3
- Co-authors
- Dennis Y. Loh (3 shared papers)Keiko Nakayama (2 shared papers)Noboru Motoyama (2 shared papers)Satoru Senju (2 shared papers)Satoshi Fujii (1 shared paper)Izumi Negishi (1 shared paper)Qing Zhang (1 shared paper)Hirofumi Sawa (1 shared paper)
- Journals
- Frontiers in Genetics (2 papers)PLoS ONE (1 paper)The Journal of Immunology (1 paper)Science (1 paper)Molecular Immunology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fanping Wang
17 papers receiving 1.2k citations
Fanping Wang's Hit Papers
Peers
Comparison fields: 5 of 81
- Immunology 508
- Developmental Neuroscience 60
- Molecular Biology 815
- Oncology 240
- Cancer Research 128
Countries citing papers authored by Fanping Wang
This map shows the geographic impact of Fanping 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 Fanping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fanping Wang more than expected).
Fields of papers citing papers by Fanping Wang
This network shows the impact of papers produced by Fanping 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 Fanping Wang. The network helps show where Fanping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fanping Wang, 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 | Massive Cell Death of Immature Hematopoietic Cells and Neurons in Bcl-x-Deficient Mice Hit paper breakdown → | 1995 | 969 |
| 2 | 1998 | 81 | |
| 3 | 1998 | 51 | |
| 4 | 2019 | 27 | |
| 5 | 1996 | 24 | |
| 6 | 2017 | 23 | |
| 7 | 2013 | 22 | |
| 8 | 2021 | 16 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 11 | |
| 11 | 2018 | 8 | |
| 12 | 2018 | 5 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 1 | |
| 16 | 2017 | 1 | |
| 17 | 2017 | 1 |
About Fanping Wang
Fanping Wang is a scholar working on Molecular Biology, Immunology, Oncology, Infectious Diseases and Microbiology, having authored 17 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Hedgehog Signaling Pathway Studies (3 papers), Retinoids in leukemia and cellular processes (3 papers), Immune Response and Inflammation (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer Cells and Metastasis (2 papers), Epigenetics and DNA Methylation (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (508 citations), Developmental Neuroscience (60 citations), Molecular Biology (815 citations), Oncology (240 citations) and Cancer Research (128 citations). Fanping Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dennis Y. Loh, Keiko Nakayama, Noboru Motoyama, Satoru Senju, Satoshi Fujii, Izumi Negishi, Qing Zhang, Hirofumi Sawa, Kei-ichi Nakayama and Kevin A. Roth. Their work appears in journals such as Frontiers in Genetics, PLoS ONE, The Journal of Immunology, Science and Molecular 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.