Indranil Basu

721 citations
17 papers · 549 · h-index 9

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Protein Kinase Regulation and GTPase Signaling
    • Melanoma and MAPK Pathways
    • Biochemical and Molecular Research
    • Epigenetics and DNA Methylation
    • PI3K/AKT/mTOR signaling in cancer
    • Cancer-related gene regulation

Papers in

    • Epigenetics and DNA Methylation 4
    • Polyamine Metabolism and Applications 3
    • Cancer-related gene regulation 2
    • Biochemical and Molecular Research 2
    • Cancer Immunotherapy and Biomarkers 3
    • CAR-T cell therapy research 2

Indranil Basu

15 papers receiving 541 citations

Peers

Indranil Basu
Comparison fields: 5 of 70
  • Oncology 146
  • Molecular Biology 328
  • Physiology 17
  • Hematology 32
  • Immunology 59
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Citations per field
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Citations per year

Countries citing papers authored by Indranil Basu

Since Specialization
Citations

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

Fields of papers citing papers by Indranil Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2016206
2 200765
3 201662
4 201057
5 201749
6 200827
7 201426
8 200419
9 202312
10 20218
11 20156
12 20165
13 20154
14 20032
15 20221
16 20220
17 20160

About Indranil Basu

Indranil Basu is a scholar working on Molecular Biology, Oncology, Immunology, Biomedical Engineering and Pharmacology, having authored 17 papers that have together received 549 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Polyamine Metabolism and Applications (3 papers), Cancer-related gene regulation (2 papers), Biochemical and Molecular Research (2 papers), CAR-T cell therapy research (2 papers) and Ultrasound and Hyperthermia Applications (2 papers). The work is most often cited by research in Oncology (146 citations), Molecular Biology (328 citations), Physiology (17 citations), Hematology (32 citations) and Immunology (59 citations). Indranil Basu has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Chandan Guha, Vern L. Schramm, Thomas J. Belbin, E. Premkumar Reddy, Yogesh K. Gupta, Peter K. Vogt, Lisa Scandiuzzi, Jonathan R. Hart, Stacey J. Baker and Aneel K. Aggarwal. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, International Journal of Radiation Oncology*Biology*Physics, Cancer Gene Therapy and Cancers.

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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