Dev M. Bhatt
Impact in
- Immunology top 2%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Cancer Research top 5%
- NF-κB Signaling Pathways
Papers in
-
- Immune Cell Function and Interaction 4
- Immune cells in cancer 3
- interferon and immune responses 2
- T-cell and B-cell Immunology 2
-
- NF-κB Signaling Pathways 4
- Co-authors
- Sankar Ghosh (5 shared papers)Stephen T. Smale (4 shared papers)Amy Pandya‐Jones (2 shared papers)Ann-Jay Tong (2 shared papers)Douglas L. Black (2 shared papers)Kevin R. Doty (2 shared papers)Daniel Braas (2 shared papers)Christine S. Cheng (2 shared papers)
- Journals
- Cell (4 papers)The International Journal of Biochemistry & Cell Biology (1 paper)The Journal of Physical Chemistry B (1 paper)Immunity (1 paper)BMC Genomics (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Dev M. Bhatt
14 papers receiving 2.8k citations
Dev M. Bhatt's Hit Papers
Peers
Comparison fields: 5 of 112
- Immunology 1.3k
- Cancer Research 565
- Oncology 669
- Molecular Biology 1.3k
- Biological Psychiatry 15
Countries citing papers authored by Dev M. Bhatt
This map shows the geographic impact of Dev M. 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 Dev M. Bhatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dev M. Bhatt more than expected).
Fields of papers citing papers by Dev M. Bhatt
This network shows the impact of papers produced by Dev M. 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 Dev M. Bhatt. The network helps show where Dev M. Bhatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Dev M. 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 | Single-Cell Analyses Inform Mechanisms of Myeloid-Targeted Therapies in Colon Cancer Hit paper breakdown → | 2020 | 1145 |
| 2 | 2009 | 470 | |
| 3 | 2012 | 348 | |
| 4 | 2017 | 259 | |
| 5 | 2014 | 212 | |
| 6 | 2017 | 181 | |
| 7 | 2013 | 75 | |
| 8 | 2021 | 60 | |
| 9 | 2021 | 54 | |
| 10 | 2021 | 33 | |
| 11 | 2020 | 14 | |
| 12 | 2023 | 9 | |
| 13 | 2009 | 6 | |
| 14 | 2022 | 5 |
About Dev M. Bhatt
Dev M. Bhatt is a scholar working on Immunology, Cancer Research, Molecular Biology, Oncology and Electrochemistry, having authored 14 papers that have together received 2.9k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (4 papers), Immune Cell Function and Interaction (4 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (3 papers), interferon and immune responses (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (1.3k citations), Cancer Research (565 citations), Oncology (669 citations), Molecular Biology (1.3k citations) and Biological Psychiatry (15 citations). Dev M. Bhatt has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Sankar Ghosh, Stephen T. Smale, Amy Pandya‐Jones, Ann-Jay Tong, Douglas L. Black, Kevin R. Doty, Daniel Braas, Christine S. Cheng, Joshua C. Black and Vladimir R. Ramirez-Carrozzi. Their work appears in journals such as Cell, The International Journal of Biochemistry & Cell Biology, The Journal of Physical Chemistry B, Immunity and BMC Genomics.
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.