Pranami Bora

809 citations
11 papers · 552 · h-index 9

Impact in

    • Protein Degradation and Inhibitors
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Ubiquitin and proteasome pathways
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Genomics and Chromatin Dynamics 3
    • Gene Regulatory Network Analysis 2
    • Bioinformatics and Genomic Networks 2
    • RNA Research and Splicing 2
    • RNA modifications and cancer 1

Pranami Bora

11 papers receiving 545 citations

Peers

Pranami Bora
Comparison fields: 5 of 78
  • Molecular Biology 397
  • Cancer Research 74
  • Oncology 110
  • Genetics 25
  • Immunology 50
Replace Davide Schiavone with:
Davide Schiavone Italy
Ceri M. Wiggins United Kingdom
Lucia García-Gutiérrez Spain
Aimée du Chatinier Netherlands
Diala Abd-Rabbo Canada
Rang Xu China
Isabella Boyle United States
Brian T. Golitz United States
Þorkell Guðjόnsson Denmark
Zelda Lichtensztejn Canada
Pranami Bora relative to Davide Schiavone Italy Davide Schiavone's profile →
Citations per field
00.5×1.5×
Davide Schiavone · 1×
Citations per year

Countries citing papers authored by Pranami Bora

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Pranami Bora Line = papers co-authored together Pranami Bora links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014376
2 201958
3 201640
4 202314
5 201512
6 201010
7 202210
8 20229
9 20149
10 20228
11 20216

About Pranami Bora

Pranami Bora is a scholar working on Molecular Biology, Cell Biology, Physiology, Genetics and Cancer Research, having authored 11 papers that have together received 552 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Gene Regulatory Network Analysis (2 papers), Bioinformatics and Genomic Networks (2 papers), RNA Research and Splicing (2 papers), Distributed and Parallel Computing Systems (1 paper), RNA modifications and cancer (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Molecular Biology (397 citations), Cancer Research (74 citations), Oncology (110 citations), Genetics (25 citations) and Immunology (50 citations). Pranami Bora has collaborated with scholars based in Italy, United States and Singapore. Frequent co-authors include Marco Jacopo Morelli, Stefano de Pretis, Stefano Campaner, Valerio Bianchi, Bruno B. Amati, Mattia Pelizzola, Marcin M. Gorski, Claudia Tonelli, Mirko Doni and Ernesto Guccione. Their work appears in journals such as Frontiers in Genetics, CPT Pharmacometrics & Systems Pharmacology, Oncotarget, Nature Communications and Frontiers in Oncology.

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.

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