Madhusudhanan Sukumar
- Immunology top 1%
- Oncology top 2%
- Molecular Biology top 10%
- Cancer Research top 5%
- Biomedical Engineering top 10%
- Co-authors
- Nicholas P. RestifoRigel J. KishtonChristopher A. KlebanoffDouglas C. PalmerZhiya YuRahul RoychoudhuriJoseph G. CromptonLuca Gattinoni
- Topics
- Immune Cell Function and Interaction (17 papers)CAR-T cell therapy research (13 papers)T-cell and B-cell Immunology (9 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesUnited KingdomQatar
In The Last Decade
Madhusudhanan Sukumar
22 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 1.9k
- Oncology 1.6k
- Molecular Biology 1.2k
- Cancer Research 560
- Biomedical Engineering 328
Countries citing papers authored by Madhusudhanan Sukumar
This map shows the geographic impact of Madhusudhanan Sukumar'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 Madhusudhanan Sukumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madhusudhanan Sukumar more than expected).
Fields of papers citing papers by Madhusudhanan Sukumar
This network shows the impact of papers produced by Madhusudhanan Sukumar. 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 Madhusudhanan Sukumar. The network helps show where Madhusudhanan Sukumar may publish in the future.
Co-authorship network of co-authors of Madhusudhanan Sukumar
This figure shows the co-authorship network connecting the top 25 collaborators of Madhusudhanan Sukumar. A scholar is included among the top collaborators of Madhusudhanan Sukumar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Madhusudhanan Sukumar. Madhusudhanan Sukumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 116 | |
| 3 | 60 | |
| 4 | 160 | |
| 5 | 74 | |
| 6 | Metabolic Regulation of T Cell Longevity and Function in Tumor Immunotherapybreakdown → | 400 |
| 7 | Ionic immune suppression within the tumour microenvironment limits T cell effector functionbreakdown → | 489 |
| 8 | 199 | |
| 9 | 139 | |
| 10 | 86 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 99 | |
| 17 | 97 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | 151 |
About Madhusudhanan Sukumar
Madhusudhanan Sukumar is a scholar working on Immunology, Oncology and Cancer Research, having authored 23 papers that have together received 3.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), CAR-T cell therapy research (13 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Immunology (1.9k citations), Oncology (1.6k citations) and Cancer Research (560 citations). Madhusudhanan Sukumar has collaborated with scholars based in United States, United Kingdom and Qatar. Frequent co-authors include Nicholas P. Restifo, Rigel J. Kishton, Christopher A. Klebanoff, Douglas C. Palmer, Zhiya Yu, Rahul Roychoudhuri, Joseph G. Crompton, Luca Gattinoni, Robert Eil and Yun Ji. Their work appears in journals such as Nature, Science and Cell.
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.