Feiyan Mo
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
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- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Oncology 14
- CAR-T cell therapy research 13
- Pancreatic and Hepatic Oncology Research 1
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- Hematopoietic Stem Cell Transplantation 1
- Co-authors
- Norihiro Watanabe (6 shared papers)Mary Kathryn McKenna (3 shared papers)Maksim Mamonkin (12 shared papers)Malcolm K. Brenner (9 shared papers)Madhuwanti Srinivasan (6 shared papers)Diogo Gomes‐Silva (3 shared papers)Helen Elisabeth Heslop (8 shared papers)Pınar Ataca Atilla (3 shared papers)
- Journals
- Molecular Therapy (3 papers)Transplantation and Cellular Therapy (2 papers)Antiviral Research (1 paper)Frontiers in Immunology (1 paper)Blood (1 paper)
- Partner nations
- United StatesPortugalChina
In The Last Decade
Feiyan Mo
15 papers receiving 963 citations
Feiyan Mo's Hit Papers
Peers
Comparison fields: 5 of 51
- Oncology 737
- Immunology 98
- Hematology 63
- Molecular Biology 124
- Cancer Research 20
Countries citing papers authored by Feiyan Mo
This map shows the geographic impact of Feiyan Mo'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 Feiyan Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiyan Mo more than expected).
Fields of papers citing papers by Feiyan Mo
This network shows the impact of papers produced by Feiyan Mo. 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 Feiyan Mo. The network helps show where Feiyan Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Feiyan Mo, 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 | Efficacy of a Small-Molecule Inhibitor of KrasG12D in Immunocompetent Models of Pancreatic Cancer Hit paper breakdown → | 2022 | 267 |
| 2 | 2022 | 148 | |
| 3 | 2020 | 131 | |
| 4 | 2018 | 125 | |
| 5 | 2017 | 93 | |
| 6 | 2020 | 59 | |
| 7 | 2022 | 59 | |
| 8 | 2018 | 28 | |
| 9 | 2021 | 20 | |
| 10 | 2022 | 18 | |
| 11 | 2022 | 18 | |
| 12 | 2019 | 13 | |
| 13 | 2024 | 7 | |
| 14 | 2020 | 3 | |
| 15 | 2019 | 2 |
About Feiyan Mo
Feiyan Mo is a scholar working on Oncology, Hematology, Infectious Diseases, Immunology and Genetics, having authored 15 papers that have together received 991 indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Viral Infections and Outbreaks Research (1 paper), T-cell and B-cell Immunology (1 paper), Hematopoietic Stem Cell Transplantation (1 paper), CRISPR and Genetic Engineering (1 paper), Virus-based gene therapy research (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Oncology (737 citations), Immunology (98 citations), Hematology (63 citations), Molecular Biology (124 citations) and Cancer Research (20 citations). Feiyan Mo has collaborated with scholars based in United States, Portugal and China. Frequent co-authors include Norihiro Watanabe, Mary Kathryn McKenna, Maksim Mamonkin, Malcolm K. Brenner, Madhuwanti Srinivasan, Diogo Gomes‐Silva, Helen Elisabeth Heslop, Pınar Ataca Atilla, Erden Atilla and Haruko Tashiro. Their work appears in journals such as Molecular Therapy, Transplantation and Cellular Therapy, Antiviral Research, Frontiers in Immunology and Blood.
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.