Saurav De

1.4k citations
14 papers · 368 · h-index 10

Impact in

    • interferon and immune responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation
    • Cancer-related Molecular Pathways
    • Cytokine Signaling Pathways and Interactions

Papers in

    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 3
    • interferon and immune responses 2
    • Immune Response and Inflammation 2
    • DNA Repair Mechanisms 3

Saurav De

13 papers receiving 361 citations

Peers

Saurav De
Comparison fields: 5 of 56
  • Immunology 169
  • Oncology 125
  • Cancer Research 67
  • Rheumatology 57
  • Molecular Biology 173
Replace Yukiko Hiramatsu with:
Yukiko Hiramatsu Japan
Bjoern Schuster Czechia
Danielle A. Chisolm United States
Daisaku Ashikari Japan
Lone Frier Bovin Denmark
Dilip Kumar Singapore
Haili Cui United States
Yunlian Tang China
Tammy P. Cheng United States
John C. Scatizzi United States
Saurav De relative to Yukiko Hiramatsu Japan Yukiko Hiramatsu's profile →
Citations per field
00.5×
Yukiko Hiramatsu · 1×
Citations per year

Countries citing papers authored by Saurav De

Since Specialization
Citations

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

Fields of papers citing papers by Saurav De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 202057
2 201250
3 201248
4 201844
5 200838
6 201435
7 202034
8 201830
9 201616
10 201412
11 20192
12 20181
13 20141
14 20170

About Saurav De

Saurav De is a scholar working on Immunology, Molecular Biology, Oncology, Rheumatology and Cell Biology, having authored 14 papers that have together received 368 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Systemic Lupus Erythematosus Research (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), DNA Repair Mechanisms (3 papers), Immunotherapy and Immune Responses (3 papers), interferon and immune responses (2 papers), Cancer-related Molecular Pathways (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Immunology (169 citations), Oncology (125 citations), Cancer Research (67 citations), Rheumatology (57 citations) and Molecular Biology (173 citations). Saurav De has collaborated with scholars based in United States, Netherlands and Iran. Frequent co-authors include John H.J. Petrini, Betsy Barnes, Carrie A. Adelman, Linda K. Johnson, Travis H. Stracker, Tiffany Shih, Sukhwinder Singh, Steven S. Foster, Robert Donnelly and Baohong Zhang. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Immunology and Cell Biology, The Journal of Immunology and Journal of Leukocyte 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.

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