Feng Tai
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Dermatology top 10%
- Cutaneous lymphoproliferative disorders research
Papers in
- Co-authors
- Fu Guo (5 shared papers)Maria Grazia Bernengo (1 shared paper)Margaret K. T. Squier (1 shared paper)Denise E. Williams (1 shared paper)Jürgen Christian Becker (1 shared paper)Célèste Lebbé (1 shared paper)Nicolas Poulalhon (1 shared paper)Madeleine Duvic (1 shared paper)
- Journals
- Blood (4 papers)Neuro-Oncology (2 papers)Journal of Electronic Materials (2 papers)The Lancet (1 paper)Bone Marrow Transplantation (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Feng Tai
32 papers receiving 451 citations
Peers
Comparison fields: 5 of 83
- Genetics 87
- Dermatology 56
- Pathology and Forensic Medicine 59
- Oncology 82
- Molecular Biology 187
Countries citing papers authored by Feng Tai
This map shows the geographic impact of Feng Tai'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 Feng Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Tai more than expected).
Fields of papers citing papers by Feng Tai
This network shows the impact of papers produced by Feng Tai. 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 Feng Tai. The network helps show where Feng Tai may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Tai, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 143 | |
| 2 | 2012 | 114 | |
| 3 | 2020 | 39 | |
| 4 | 2008 | 21 | |
| 5 | An updated analysis of JULIET, a global pivotal phase 2 trial of tisagenlecleucel in adult patients with relapsed or refractory (r/r) diffuse large B-cell lymphoma (DLBCL) | 2018 | 19 |
| 6 | 2019 | 17 | |
| 7 | 2008 | 15 | |
| 8 | 2017 | 13 | |
| 9 | 2009 | 12 | |
| 10 | 2011 | 10 | |
| 11 | 2025 | 9 | |
| 12 | 2010 | 7 | |
| 13 | 2009 | 6 | |
| 14 | 2009 | 5 | |
| 15 | A PHASE 3, MULTICENTER, OPEN-LABEL, RANDOMIZED, CONTROLLED STUDY OF THE EFFICACY AND SAFETY OF ORAL SONIDEGIB (LDE225) VERSUS TEMOZOLOMIDE IN PATIENTS WITH HEDGEHOG PATHWAY-ACTIVATED RELAPSED MEDULLOBLASTOMA | 2013 | 5 |
| 16 | 2020 | 4 | |
| 17 | 2023 | 4 | |
| 18 | 2010 | 3 | |
| 19 | 2017 | 2 | |
| 20 | 2020 | 2 |
About Feng Tai
Feng Tai is a scholar working on Oncology, Genetics, Physiology, Genetics and Immunology, having authored 33 papers that have together received 465 indexed citations. Recurring topics across this work include CAR-T cell therapy research (6 papers), Electronic Packaging and Soldering Technologies (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Advanced Welding Techniques Analysis (4 papers), 3D IC and TSV technologies (3 papers), Aluminum Alloys Composites Properties (3 papers), Immunotherapy and Immune Responses (3 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Genetics (87 citations), Dermatology (56 citations), Pathology and Forensic Medicine (59 citations), Oncology (82 citations) and Molecular Biology (187 citations). Feng Tai has collaborated with scholars based in China, United States and France. Frequent co-authors include Fu Guo, Maria Grazia Bernengo, Margaret K. T. Squier, Denise E. Williams, Jürgen Christian Becker, Célèste Lebbé, Nicolas Poulalhon, Madeleine Duvic, Chalid Assaf and Pablo Luis Ortiz-Romero. Their work appears in journals such as Blood, Neuro-Oncology, Journal of Electronic Materials, The Lancet and Bone Marrow Transplantation.
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.