Darshna Bhatt
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Immune Cell Function and Interaction 4
- Immunotherapy and Immune Responses 2
- T-cell and B-cell Immunology 2
-
- Genomics and Phylogenetic Studies 2
- Co-authors
- Stefano Volinia (2 shared papers)Carlo M. Croce (2 shared papers)Hansjüerg Alder (2 shared papers)Mark Bloomston (1 shared paper)Fabio Petrocca (1 shared paper)Chang‐Gong Liu (1 shared paper)Wendy L. Frankel (1 shared paper)John P. Hagan (1 shared paper)
- Journals
- Blood (3 papers)Cancer Research (2 papers)The Journal of Pediatrics (1 paper)Human Mutation (1 paper)Journal of Molecular Diagnostics (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Darshna Bhatt
15 papers receiving 2.1k citations
Darshna Bhatt's Hit Papers
Peers
Comparison fields: 5 of 87
- Cancer Research 1.1k
- Immunology 392
- Oncology 425
- Molecular Biology 1.1k
- Hematology 145
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 | MicroRNA Expression Patterns to Differentiate Pancreatic Adenocarcinoma From Normal Pancreas and Chronic Pancreatitis Hit paper breakdown → | 2007 | 940 |
| 2 | 2006 | 350 | |
| 3 | 2006 | 226 | |
| 4 | 2015 | 177 | |
| 5 | 2017 | 73 | |
| 6 | 2004 | 63 | |
| 7 | 2004 | 57 | |
| 8 | Experimental treatment of Epstein-Barr virus-associated primary central nervous system lymphoma. | 2003 | 57 |
| 9 | 2014 | 56 | |
| 10 | 2005 | 34 | |
| 11 | 2004 | 28 | |
| 12 | 2004 | 26 | |
| 13 | 2017 | 17 | |
| 14 | Human natural killer cell IFN-gamma production: Inhibition by TGF-beta involves SMAD-mediated downregulation of T-BET expression | 2005 | 1 |
| 15 | 2015 | 1 |
About Darshna Bhatt
Darshna Bhatt is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Hematology, having authored 15 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Cancer Genomics and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers), T-cell and B-cell Immunology (2 papers), Genomics and Phylogenetic Studies (2 papers), Viral-associated cancers and disorders (2 papers), CAR-T cell therapy research (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Cancer Research (1.1k citations), Immunology (392 citations), Oncology (425 citations), Molecular Biology (1.1k citations) and Hematology (145 citations). Darshna Bhatt has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Stefano Volinia, Carlo M. Croce, Hansjüerg Alder, Mark Bloomston, Fabio Petrocca, Chang‐Gong Liu, Wendy L. Frankel, John P. Hagan, Cristian Taccioli and Guido Marcucci. Their work appears in journals such as Blood, Cancer Research, The Journal of Pediatrics, Human Mutation and Journal of Molecular Diagnostics.
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.