Thien‐Phong Vu Manh
- Immunology top 1%
- Immunotherapy and Immune Responses 20
- T-cell and B-cell Immunology 20
- Immune Cell Function and Interaction 15
- interferon and immune responses 5
- Immune Response and Inflammation 4
- Immune cells in cancer 3
- Oncology top 5%
- Cancer Research top 10%
- Molecular Biology top 10%
- vaccines and immunoinformatics approaches 4
- Virology top 10%
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- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Marc DalodKarine CrozatThomas BaranekIsabelle Schwartz-CornilAnne HosmalinRachel GuitonVanessa ContrerasPierre Boudinot
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Journal of Experimental Medicine (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- FranceUnited KingdomUnited States
In The Last Decade
Thien‐Phong Vu Manh
43 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Immunology 2.1k
- Oncology 548
- Cancer Research 237
- Molecular Biology 824
- Virology 48
Countries citing papers authored by Thien‐Phong Vu Manh
This map shows the geographic impact of Thien‐Phong Vu Manh'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 Thien‐Phong Vu Manh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thien‐Phong Vu Manh more than expected).
Fields of papers citing papers by Thien‐Phong Vu Manh
This network shows the impact of papers produced by Thien‐Phong Vu Manh. 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 Thien‐Phong Vu Manh. The network helps show where Thien‐Phong Vu Manh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Thien‐Phong Vu Manh, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2023 | 4 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 77 | |
| 6 | 2020 | 105 | |
| 7 | Membrane Cholesterol Efflux Drives Tumor-Associated Macrophage Reprogramming and Tumor Progressionbreakdown → | 2019 | 347 |
| 8 | 2018 | 16 | |
| 9 | 2018 | 52 | |
| 10 | 2018 | 24 | |
| 11 | 2018 | 107 | |
| 12 | 2016 | 9 | |
| 13 | 2016 | 55 | |
| 14 | 2016 | 36 | |
| 15 | 2015 | 83 | |
| 16 | 2015 | 59 | |
| 17 | 2015 | 54 | |
| 18 | 2012 | 79 | |
| 19 | 2011 | 145 | |
| 20 | 2009 | 118 |
About Thien‐Phong Vu Manh
Thien‐Phong Vu Manh is a scholar working on Immunology, Transplantation and Neurology, having authored 44 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (20 papers), T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (15 papers), interferon and immune responses (5 papers), vaccines and immunoinformatics approaches (4 papers), Immune Response and Inflammation (4 papers), Immune cells in cancer (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Immunology (2.1k citations), Oncology (548 citations) and Cancer Research (237 citations). Thien‐Phong Vu Manh has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Marc Dalod, Karine Crozat, Thomas Baranek, Isabelle Schwartz-Cornil, Anne Hosmalin, Rachel Guiton, Vanessa Contreras, Pierre Boudinot, Bernard Malissen and Jacqueline Marvel. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The Journal of Cell Biology.
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.