Darshna Bhatt
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Platelet Disorders and Treatments
Papers in
-
- Immune Cell Function and Interaction 2
- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
-
- Hematopoietic Stem Cell Transplantation 2
- Co-authors
- Carlo Maria Croce (2 shared papers)Hansjüerg Alder (2 shared papers)Stefano Volinia (2 shared papers)Chang‐Gong Liu (1 shared paper)Fabio Petrocca (1 shared paper)John P. Hagan (1 shared paper)Mark Bloomston (1 shared paper)Cristian Taccioli (1 shared paper)
- Journals
- Blood (3 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)JAMA (1 paper)Oncotarget (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Darshna Bhatt
14 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 83
- Cancer Research 1.1k
- Hematology 233
- Oncology 325
- Immunology 279
- Molecular Biology 306
Countries citing papers authored by Darshna Bhatt
This map shows the geographic impact of Darshna Bhatt'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 Darshna Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darshna Bhatt more than expected).
Fields of papers citing papers by Darshna Bhatt
This network shows the impact of papers produced by Darshna Bhatt. 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 Darshna Bhatt. The network helps show where Darshna Bhatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Darshna Bhatt, 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 | 2007 | 1003 | |
| 2 | 2006 | 371 | |
| 3 | 2006 | 242 | |
| 4 | 2015 | 207 | |
| 5 | 2017 | 77 | |
| 6 | 2004 | 69 | |
| 7 | Experimental treatment of Epstein-Barr virus-associated primary central nervous system lymphoma. | 2003 | 68 |
| 8 | 2014 | 61 | |
| 9 | 2004 | 58 | |
| 10 | 2005 | 41 | |
| 11 | 2004 | 28 | |
| 12 | 2004 | 28 | |
| 13 | 2017 | 7 | |
| 14 | Human natural killer cell IFN-gamma production: Inhibition by TGF-beta involves SMAD-mediated downregulation of T-BET expression | 2005 | 1 |
About Darshna Bhatt
Darshna Bhatt is a scholar working on Immunology, Hematology, Cancer Research, Oncology and Genetics, having authored 14 papers that have together received 2.3k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (2 papers), Immune Cell Function and Interaction (2 papers), Immunotherapy and Immune Responses (2 papers), Viral-associated cancers and disorders (2 papers), T-cell and B-cell Immunology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), MicroRNA in disease regulation (2 papers) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Cancer Research (1.1k citations), Hematology (233 citations), Oncology (325 citations), Immunology (279 citations) and Molecular Biology (306 citations). Darshna Bhatt has collaborated with scholars based in United States and Italy. Frequent co-authors include Carlo Maria Croce, Hansjüerg Alder, Stefano Volinia, Chang‐Gong Liu, Fabio Petrocca, John P. Hagan, Mark Bloomston, Cristian Taccioli, Wendy L. Frankel and Michael A. Caligiuri. Their work appears in journals such as Blood, Cancer Research, Molecular Cancer Therapeutics, JAMA and Oncotarget.
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.