Indranil Paul

1.2k citations
14 papers · 686 · h-index 10

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Ubiquitin and proteasome pathways
    • Heat shock proteins research
    • Wnt/β-catenin signaling in development and cancer
    • PI3K/AKT/mTOR signaling in cancer
    • Cancer-related gene regulation

Papers in

    • Ubiquitin and proteasome pathways 6
    • Heat shock proteins research 4
    • Gene expression and cancer classification 1
    • 14-3-3 protein interactions 1
    • Endoplasmic Reticulum Stress and Disease 2

Indranil Paul

11 papers receiving 679 citations

Peers

Indranil Paul
Comparison fields: 5 of 63
  • Cancer Research 115
  • Molecular Biology 551
  • Cell Biology 109
  • Oncology 156
  • Aging 8
Replace Shih-Ya Wang with:
Shih-Ya Wang United States
Bassem D. Khalil United States
Clive S. D’Santos United Kingdom
Julie Loader United Kingdom
Aleksandra Zwolińska Belgium
Kiwon Jo United States
Meital Gabay United States
Gina L. Razidlo United States
Uroš Rajčević Slovenia
Carter J. Barger United States
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Citations per field
00.5×1.5×1.8×
Shih-Ya Wang · 1×
Citations per year

Countries citing papers authored by Indranil Paul

Since Specialization
Citations

This map shows the geographic impact of Indranil Paul'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 Indranil Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Indranil Paul more than expected).

Fields of papers citing papers by Indranil Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Indranil Paul. 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 Indranil Paul. The network helps show where Indranil Paul may publish in the future.

Co-authors

The 25 scholars most cited alongside Indranil Paul, 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 Indranil Paul Line = papers co-authored together Indranil Paul links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2012132
2 2012132
3 2013118
4 201470
5 201962
6 201558
7 201438
8 201734
9 202031
10 20239
11 19961
12 20161
13 20250
14 20250

About Indranil Paul

Indranil Paul is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 686 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Heat shock proteins research (4 papers), Advanced Proteomics Techniques and Applications (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cancer Mechanisms and Therapy (1 paper), Gene expression and cancer classification (1 paper), Cancer Genomics and Diagnostics (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Cancer Research (115 citations), Molecular Biology (551 citations), Cell Biology (109 citations), Oncology (156 citations) and Aging (8 citations). Indranil Paul has collaborated with scholars based in India, United States and Denmark. Frequent co-authors include Mrinal K. Ghosh, Anirban Chatterjee, Syed Feroj Ahmed, Sukanta S. Bhattacharya, Arijit Bhowmik, Uttara Chatterjee, Amilcar Flores‐Morales, Diego Iglesias‐Gato, Andrew Emili and Carl A. White. Their work appears in journals such as FEBS Journal, iScience, Scientific Reports, BioMed Research International and Journal of Biological Chemistry.

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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