Prashant Bhat
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Nuclear Structure and Function
- RNA and protein synthesis mechanisms
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Genomics and Chromatin Dynamics 7
- RNA Research and Splicing 4
- CRISPR and Genetic Engineering 3
- Nuclear Structure and Function 2
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- Prostate Cancer Diagnosis and Treatment 4
- Co-authors
- Mitchell Guttman (7 shared papers)Sofia A. Quinodoz (6 shared papers)Noah Ollikainen (4 shared papers)Amy Y. Chow (3 shared papers)Drew D. Honson (1 shared paper)Jennifer A. Doudna (2 shared papers)Chantal K. Guegler (2 shared papers)Samuel H. Sternberg (2 shared papers)
- Journals
- Nature (4 papers)Cell (4 papers)JAMA Network Open (2 papers)Cell Reports (1 paper)Acarologia (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Prashant Bhat
20 papers receiving 2.1k citations
Prashant Bhat's Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.6k
- Infectious Diseases 284
- Cancer Research 143
- Immunology 89
- Biophysics 26
Countries citing papers authored by Prashant Bhat
This map shows the geographic impact of Prashant Bhat'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 Prashant Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Bhat more than expected).
Fields of papers citing papers by Prashant Bhat
This network shows the impact of papers produced by Prashant Bhat. 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 Prashant Bhat. The network helps show where Prashant Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant Bhat, 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 | Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleus Hit paper breakdown → | 2018 | 620 |
| 2 | 2020 | 436 | |
| 3 | RNA promotes the formation of spatial compartments in the nucleus Hit paper breakdown → | 2021 | 270 |
| 4 | 2014 | 171 | |
| 5 | 2021 | 162 | |
| 6 | 2015 | 160 | |
| 7 | Genome organization around nuclear speckles drives mRNA splicing efficiency Hit paper breakdown → | 2024 | 97 |
| 8 | 2022 | 38 | |
| 9 | Spatial multi-omics reveals cell-type-specific nuclear compartments Hit paper breakdown → | 2025 | 38 |
| 10 | 2022 | 32 | |
| 11 | 2021 | 24 | |
| 12 | 2021 | 21 | |
| 13 | 2016 | 18 | |
| 14 | 2022 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2025 | 15 | |
| 17 | 2025 | 13 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 9 | |
| 20 | 2022 | 8 |
About Prashant Bhat
Prashant Bhat is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Infectious Diseases, Molecular Medicine and Ecology, Evolution, Behavior and Systematics, having authored 20 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), CRISPR and Genetic Engineering (3 papers), Nuclear Structure and Function (2 papers), Study of Mite Species (1 paper), COVID-19 Clinical Research Studies (1 paper) and Antibiotic Resistance in Bacteria (1 paper). The work is most often cited by research in Molecular Biology (1.6k citations), Infectious Diseases (284 citations), Cancer Research (143 citations), Immunology (89 citations) and Biophysics (26 citations). Prashant Bhat has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Mitchell Guttman, Sofia A. Quinodoz, Noah Ollikainen, Amy Y. Chow, Drew D. Honson, Jennifer A. Doudna, Chantal K. Guegler, Samuel H. Sternberg, Yodai Takei and Long Cai. Their work appears in journals such as Nature, Cell, JAMA Network Open, Cell Reports and Acarologia.
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.