Pranam Chatterjee
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Aging top 5%
Papers in
-
- CRISPR and Genetic Engineering 10
- RNA and protein synthesis mechanisms 8
- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 5
- Protein Degradation and Inhibitors 4
- Machine Learning in Bioinformatics 3
- Genetics 12
- Virus-based gene therapy research 5
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Vassiliki A. BoussiotisS. J. FlintJoseph M. JacobsonGordon J. FreemanNikolaos PatsoukisDuygu SariVictoria PetkovaKankana Bardhan
- Journals
- Nature Communications (4 papers)Blood (4 papers)Science Advances (3 papers)Nature Biotechnology (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Pranam Chatterjee
39 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Immunology 764
- Aging 43
- Oncology 604
- Business and International Management 43
- Cancer Research 245
Countries citing papers authored by Pranam Chatterjee
This map shows the geographic impact of Pranam Chatterjee'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 Pranam Chatterjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranam Chatterjee more than expected).
Fields of papers citing papers by Pranam Chatterjee
This network shows the impact of papers produced by Pranam Chatterjee. 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 Pranam Chatterjee. The network helps show where Pranam Chatterjee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pranam Chatterjee, 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 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 10 | |
| 5 | 2025 | 0 | |
| 6 | 2023 | 43 | |
| 7 | 2023 | 36 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 0 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 8 | |
| 12 | 2020 | 76 | |
| 13 | 2020 | 93 | |
| 14 | 2020 | 2 | |
| 15 | 2020 | 20 | |
| 16 | 2018 | 172 | |
| 17 | PD-1 alters T-cell metabolic reprogramming by inhibiting glycolysis and promoting lipolysis and fatty acid oxidation Hit paper breakdown → | 2015 | 908 |
| 18 | 2014 | 150 | |
| 19 | 2004 | 10 | |
| 20 | 1993 | 5 |
About Pranam Chatterjee
Pranam Chatterjee is a scholar working on Molecular Biology, Genetics, Immunology, Biotechnology and Oncology, having authored 42 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (8 papers), Advanced biosensing and bioanalysis techniques (6 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (5 papers), Protein Degradation and Inhibitors (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Immunology (764 citations), Aging (43 citations), Oncology (604 citations), Business and International Management (43 citations) and Cancer Research (245 citations). Pranam Chatterjee has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Vassiliki A. Boussiotis, S. J. Flint, Joseph M. Jacobson, Gordon J. Freeman, Nikolaos Patsoukis, Duygu Sari, Victoria Petkova, Kankana Bardhan, Lauren N. Bell and Lequn Li. Their work appears in journals such as Nature Communications, Blood, Science Advances, Nature Biotechnology and Proceedings of the National Academy of Sciences.
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.