Deepta Bhattacharya
Impact in
- Immunology top 0.5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Hematology top 1%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 49
- Immune Cell Function and Interaction 29
- T-cell and B-cell Immunology 28
- Immunotherapy and Immune Responses 17
- Immune cells in cancer 6
- Hematology 17
- Hematopoietic Stem Cell Transplantation 14
- Co-authors
- Irving L. WeissmanKenneth M. MurphyDerrick J. RossiTheresa L. MurphyDavid BryderWilliam C. ShaAgnieszka CzechowiczWenjun Ouyang
- Journals
- The Journal of Experimental Medicine (8 papers)Immunity (6 papers)Proceedings of the National Academy of Sciences (6 papers)Blood (6 papers)The Journal of Immunology (4 papers)
- Partner nations
- United StatesSwedenJapan
In The Last Decade
Deepta Bhattacharya
66 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Immunology 3.9k
- Hematology 1.1k
- Genetics 350
- Oncology 875
- Infectious Diseases 577
Countries citing papers authored by Deepta Bhattacharya
This map shows the geographic impact of Deepta Bhattacharya'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 Deepta Bhattacharya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepta Bhattacharya more than expected).
Fields of papers citing papers by Deepta Bhattacharya
This network shows the impact of papers produced by Deepta Bhattacharya. 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 Deepta Bhattacharya. The network helps show where Deepta Bhattacharya may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepta Bhattacharya, 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 | 21 | |
| 2 | 2023 | 5 | |
| 3 | 2022 | 26 | |
| 4 | 2022 | 30 | |
| 5 | 2020 | 31 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 15 | |
| 8 | 2015 | 22 | |
| 9 | 2015 | 8 | |
| 10 | 2014 | 8 | |
| 11 | 2013 | 19 | |
| 12 | 2012 | 458 | |
| 13 | 2012 | 63 | |
| 14 | 2011 | 172 | |
| 15 | 2011 | 37 | |
| 16 | Functionally distinct hematopoietic stem cells modulate hematopoietic lineage potential during aging by a mechanism of clonal expansion Hit paper breakdown → | 2010 | 506 |
| 17 | 2009 | 96 | |
| 18 | 2007 | 134 | |
| 19 | 2006 | 213 | |
| 20 | 2005 | 96 |
About Deepta Bhattacharya
Deepta Bhattacharya is a scholar working on Immunology, Hematology, Infectious Diseases, Virology and Oncology, having authored 68 papers that have together received 6.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (29 papers), T-cell and B-cell Immunology (28 papers), Immunotherapy and Immune Responses (17 papers), Hematopoietic Stem Cell Transplantation (14 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Immune cells in cancer (6 papers), COVID-19 Clinical Research Studies (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Immunology (3.9k citations), Hematology (1.1k citations), Genetics (350 citations), Oncology (875 citations) and Infectious Diseases (577 citations). Deepta Bhattacharya has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Irving L. Weissman, Kenneth M. Murphy, Derrick J. Rossi, Theresa L. Murphy, David Bryder, William C. Sha, Agnieszka Czechowicz, Wenjun Ouyang, Matthew A. Inlay and Jun Seita. Their work appears in journals such as The Journal of Experimental Medicine, Immunity, Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.
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.