Pranami Bora
Impact in
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- Protein Degradation and Inhibitors
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
Papers in
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- Genomics and Chromatin Dynamics 3
- Bioinformatics and Genomic Networks 2
- RNA Research and Splicing 2
- Molecular Biology Techniques and Applications 2
- Gene Regulatory Network Analysis 2
- Single-cell and spatial transcriptomics 1
- Kruppel-like factors research 1
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- Hippo pathway signaling and YAP/TAZ 1
- Co-authors
- Marco J. Morelli (4 shared papers)Stefano Campaner (2 shared papers)Valerio Bianchi (2 shared papers)Mattia Pelizzola (2 shared papers)Stefano de Pretis (2 shared papers)Bruno Amati (2 shared papers)Claudia Tonelli (1 shared paper)Heiko Müller (1 shared paper)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (2 papers)Frontiers in Genetics (2 papers)Scientific Reports (1 paper)BMC Genomics (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ItalyUnited StatesRussia
In The Last Decade
Pranami Bora
11 papers receiving 511 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 402
- Cancer Research 78
- Oncology 107
- Cell Biology 42
- Genetics 27
Countries citing papers authored by Pranami Bora
This map shows the geographic impact of Pranami Bora'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 Pranami Bora with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranami Bora more than expected).
Fields of papers citing papers by Pranami Bora
This network shows the impact of papers produced by Pranami Bora. 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 Pranami Bora. The network helps show where Pranami Bora may publish in the future.
Co-authors
The 25 scholars most cited alongside Pranami Bora, 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 | 2014 | 354 | |
| 2 | 2019 | 56 | |
| 3 | 2016 | 35 | |
| 4 | 2015 | 12 | |
| 5 | 2023 | 11 | |
| 6 | 2010 | 10 | |
| 7 | 2022 | 9 | |
| 8 | 2014 | 8 | |
| 9 | 2022 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2022 | 6 |
About Pranami Bora
Pranami Bora is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Surgery and Computer Networks and Communications, having authored 11 papers that have together received 514 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Bioinformatics and Genomic Networks (2 papers), RNA Research and Splicing (2 papers), Molecular Biology Techniques and Applications (2 papers), Gene Regulatory Network Analysis (2 papers), Single-cell and spatial transcriptomics (1 paper), Kruppel-like factors research (1 paper) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Molecular Biology (402 citations), Cancer Research (78 citations), Oncology (107 citations), Cell Biology (42 citations) and Genetics (27 citations). Pranami Bora has collaborated with scholars based in Italy, United States and Russia. Frequent co-authors include Marco J. Morelli, Stefano Campaner, Valerio Bianchi, Mattia Pelizzola, Stefano de Pretis, Bruno Amati, Claudia Tonelli, Heiko Müller, Theresia R. Kress and Marcin M. Gorski. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Frontiers in Genetics, Scientific Reports, BMC Genomics and Frontiers in Cell and Developmental Biology.
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.