Pooja Bhat
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Protein Degradation and Inhibitors
- Single-cell and spatial transcriptomics
- Ubiquitin and proteasome pathways
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- T-cell and B-cell Immunology
Papers in
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- RNA modifications and cancer 4
- Genomics and Chromatin Dynamics 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 1
- Ubiquitin and proteasome pathways 1
- Co-authors
- Stefan L. Ameres (4 shared papers)Veronika A. Herzog (4 shared papers)Johannes Zuber (2 shared papers)Philipp Rescheneder (2 shared papers)Arndt von Haeseler (2 shared papers)Tobias Neumann (2 shared papers)Brian Reichholf (2 shared papers)Wiebke Wlotzka (1 shared paper)
- Journals
- Nature Methods (1 paper)Cell Reports (1 paper)Cell Systems (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Science (1 paper)
- Partner nations
- AustriaGermanySwitzerland
In The Last Decade
Pooja Bhat
7 papers receiving 836 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 701
- Immunology 125
- Cancer Research 82
- Hematology 31
- Virology 13
Countries citing papers authored by Pooja Bhat
This map shows the geographic impact of Pooja 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 Pooja Bhat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pooja Bhat more than expected).
Fields of papers citing papers by Pooja Bhat
This network shows the impact of papers produced by Pooja 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 Pooja Bhat. The network helps show where Pooja Bhat may publish in the future.
Co-authors
The 25 scholars most cited alongside Pooja 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 | 2017 | 372 | |
| 2 | 2018 | 244 | |
| 3 | 2015 | 130 | |
| 4 | 2017 | 65 | |
| 5 | 2023 | 25 | |
| 6 | 2016 | 2 | |
| 7 | 2021 | 1 | |
| 8 | Transient Non Immune Hydrops Foetalis | 2009 | 1 |
About Pooja Bhat
Pooja Bhat is a scholar working on Molecular Biology, Infectious Diseases, Dermatology, Rheumatology and Cell Biology, having authored 8 papers that have together received 840 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (1 paper), Ubiquitin and proteasome pathways (1 paper), Zebrafish Biomedical Research Applications (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Molecular Biology (701 citations), Immunology (125 citations), Cancer Research (82 citations), Hematology (31 citations) and Virology (13 citations). Pooja Bhat has collaborated with scholars based in Austria, Germany and Switzerland. Frequent co-authors include Stefan L. Ameres, Veronika A. Herzog, Johannes Zuber, Philipp Rescheneder, Arndt von Haeseler, Tobias Neumann, Brian Reichholf, Wiebke Wlotzka, Thomas R. Burkard and Ulrike Menzel. Their work appears in journals such as Nature Methods, Cell Reports, Cell Systems, Methods in enzymology on CD-ROM/Methods in enzymology and Science.
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.