Pranay Dogra
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Oncology top 5%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
- Immunology 19
- Immune Cell Function and Interaction 17
- T-cell and B-cell Immunology 10
- Immunotherapy and Immune Responses 3
- Immune Response and Inflammation 2
- Co-authors
- Ben YoungbloodHazem E. GhoneimYiping FanDonna L. FärberHossam A. AbdelsamedTakashi SendaArdiana MoustakiPaul G. Thomas
- Journals
- The Journal of Immunology (3 papers)Nature Medicine (2 papers)Nature Communications (2 papers)Cell (2 papers)Journal of Leukocyte Biology (1 paper)
- Partner nations
- United StatesNetherlandsIsrael
In The Last Decade
Pranay Dogra
25 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 1.7k
- Oncology 805
- Transplantation 37
- Virology 50
- Molecular Biology 685
Countries citing papers authored by Pranay Dogra
This map shows the geographic impact of Pranay Dogra'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 Pranay Dogra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranay Dogra more than expected).
Fields of papers citing papers by Pranay Dogra
This network shows the impact of papers produced by Pranay Dogra. 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 Pranay Dogra. The network helps show where Pranay Dogra may publish in the future.
Co-authors
The 25 scholars most cited alongside Pranay Dogra, 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 | 2024 | 3 | |
| 2 | 2023 | 44 | |
| 3 | 2022 | 54 | |
| 4 | 2022 | 6 | |
| 5 | 2021 | 19 | |
| 6 | 2020 | 271 | |
| 7 | Single-cell transcriptomics of human T cells reveals tissue and activation signatures in health and disease Hit paper breakdown → | 2019 | 346 |
| 8 | 2019 | 196 | |
| 9 | 2019 | 11 | |
| 10 | 2019 | 75 | |
| 11 | 2019 | 8 | |
| 12 | 2018 | 65 | |
| 13 | De Novo Epigenetic Programs Inhibit PD-1 Blockade-Mediated T Cell Rejuvenation Hit paper breakdown → | 2017 | 567 |
| 14 | 2017 | 140 | |
| 15 | 2017 | 343 | |
| 16 | 2016 | 12 | |
| 17 | 2016 | 4 | |
| 18 | 2015 | 28 | |
| 19 | 2015 | 25 | |
| 20 | 2014 | 12 |
About Pranay Dogra
Pranay Dogra is a scholar working on Immunology, Transplantation, Parasitology, Epidemiology and Speech and Hearing, having authored 25 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (10 papers), Cytomegalovirus and herpesvirus research (7 papers), Herpesvirus Infections and Treatments (4 papers), Epigenetics and DNA Methylation (3 papers), Immunotherapy and Immune Responses (3 papers), Diabetes and associated disorders (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (1.7k citations), Oncology (805 citations), Transplantation (37 citations), Virology (50 citations) and Molecular Biology (685 citations). Pranay Dogra has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Ben Youngblood, Hazem E. Ghoneim, Yiping Fan, Donna L. Färber, Hossam A. Abdelsamed, Takashi Senda, Ardiana Moustaki, Paul G. Thomas, Puspa Thapa and Peter A. Szabo. Their work appears in journals such as The Journal of Immunology, Nature Medicine, Nature Communications, Cell and Journal of Leukocyte 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.