Sambit K. Nanda

1.5k citations
27 papers · 1.2k · h-index 16

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Immune Response and Inflammation
    • NF-κB Signaling Pathways

Papers in

    • interferon and immune responses 11
    • Immune Response and Inflammation 5
    • Immune Cell Function and Interaction 3
    • NF-κB Signaling Pathways 6

Sambit K. Nanda

26 papers receiving 1.2k citations

Peers

Sambit K. Nanda
Comparison fields: 5 of 83
  • Immunology 610
  • Cancer Research 230
  • Rheumatology 123
  • Molecular Biology 579
  • Epidemiology 241
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Henry Hess Germany
Shin‐ichi Tsukumo Japan
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Citations per field
00.5×2×2.6×
Henry Hess · 1×
Citations per year

Countries citing papers authored by Sambit K. Nanda

Since Specialization
Citations

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

Fields of papers citing papers by Sambit K. Nanda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sambit K. Nanda. 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 Sambit K. Nanda. The network helps show where Sambit K. Nanda may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013245
2 2011138
3 2013104
4 201381
5 201366
6 202266
7 201965
8 201363
9 200660
10 201649
11
Effects of various anti-inflammatory drugs on type II collagen-induced arthritis in rats.
198237
12 200837
13 202133
14 201328
15 202117
16 201316
17 201916
18 201915
19 201512
20 202211

About Sambit K. Nanda

Sambit K. Nanda is a scholar working on Immunology, Cancer Research, Rheumatology, Molecular Biology and Epidemiology, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include interferon and immune responses (11 papers), NF-κB Signaling Pathways (6 papers), Virology and Viral Diseases (5 papers), Immune Response and Inflammation (5 papers), Ubiquitin and proteasome pathways (4 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Inflammasome and immune disorders (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (610 citations), Cancer Research (230 citations), Rheumatology (123 citations), Molecular Biology (579 citations) and Epidemiology (241 citations). Sambit K. Nanda has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Philip Cohen, Michael D. Baron, J. Simon C. Arthur, Kristopher P. Clark, Michelle Jennings, Wei Min Hu, Xiaoxia Li, James A. Thomas, Ty D. Troutman and Chandrashekhar Pasare. Their work appears in journals such as The Journal of Immunology, Lupus Science & Medicine, Virology, PLoS ONE 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.

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