Feng Tai
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Dermatology top 10%
- Cutaneous lymphoproliferative disorders research
Papers in
- Oncology 6
- CAR-T cell therapy research 3
-
- Erythrocyte Function and Pathophysiology 5
- Co-authors
- Darren Hargrave (2 shared papers)Pablo L. Ortiz‐Romero (1 shared paper)Madeleine Duvic (1 shared paper)Célèste Lebbé (1 shared paper)Margaret Squier (1 shared paper)H. Miles Prince (1 shared paper)Reinhard Dummer (1 shared paper)Chalid Assaf (1 shared paper)
- Journals
- Blood (6 papers)Journal of Clinical Oncology (2 papers)Cancer Research (2 papers)Journal of Electronic Materials (2 papers)Neuro-Oncology (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Feng Tai
28 papers receiving 406 citations
Peers
Comparison fields: 5 of 76
- Genetics 94
- Dermatology 52
- Pathology and Forensic Medicine 48
- Molecular Biology 173
- Biological Psychiatry 5
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 131 | |
| 2 | 2012 | 104 | |
| 3 | 2020 | 37 | |
| 4 | 2019 | 23 | |
| 5 | 2008 | 20 | |
| 6 | 2008 | 15 | |
| 7 | 2009 | 12 | |
| 8 | 2020 | 11 | |
| 9 | 2011 | 10 | |
| 10 | 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 |
| 11 | 2009 | 5 | |
| 12 | 2009 | 5 | |
| 13 | 2020 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2010 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2020 | 2 |
About Feng Tai
Feng Tai is a scholar working on Oncology, Physiology, Electrical and Electronic Engineering, Genetics and Mechanical Engineering, having authored 30 papers that have together received 411 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (5 papers), Electronic Packaging and Soldering Technologies (5 papers), Advanced Welding Techniques Analysis (4 papers), Aluminum Alloys Composites Properties (3 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), 3D IC and TSV technologies (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). The work is most often cited by research in Genetics (94 citations), Dermatology (52 citations), Pathology and Forensic Medicine (48 citations), Molecular Biology (173 citations) and Biological Psychiatry (5 citations). Feng Tai has collaborated with scholars based in China, United States and France. Frequent co-authors include Darren Hargrave, Pablo L. Ortiz‐Romero, Madeleine Duvic, Célèste Lebbé, Margaret Squier, H. Miles Prince, Reinhard Dummer, Chalid Assaf, Mark W. Kieran and Maria Grazia Bernengo. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Research, Journal of Electronic Materials and Neuro-Oncology.
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.