Nandini Kishore

2.4k citations
20 papers · 1.9k indexed · 1 hit paper · h-index 15
Topics
NF-κB Signaling Pathways (12 papers)Immune Response and Inflammation (11 papers)Cytokine Signaling Pathways and Interactions (11 papers)

In The Last Decade

Nandini Kishore

20 papers receiving 1.9k citations

Hit Papers

Modulation of Innate and Adaptive Immune Responses by Tof...20112026201620212011100200300400500

Peers

Nandini Kishore
Comparison fields: 5 of 96
  • Immunology 690
  • Oncology 601
  • Rheumatology 501
  • Molecular Biology 451
  • Cancer Research 356
Replace Michael I. Jesson with:
Michael I. Jesson United States
Ernest Brahn United States
Cheryl Nickerson‐Nutter United States
Valérie Gouilleux‐Gruart France
Martin Hegen United States
William E. Thierfelder United States
Debra M. Meyer United States
Jean S. Beebe United States
David J. Rieman United States
M Tohidast-Akrad Austria
Nandini Kishore relative to Michael I. Jesson United States Michael I. Jesson's profile →
Citations per field
00.5×4.1×
Michael I. Jesson · 1×
Citations per year

Countries citing papers authored by Nandini Kishore

Since Specialization
Citations

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

Fields of papers citing papers by Nandini Kishore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nandini Kishore

This figure shows the co-authorship network connecting the top 25 collaborators of Nandini Kishore. A scholar is included among the top collaborators of Nandini Kishore based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nandini Kishore. Nandini Kishore is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 88
2 1
3
Modulation of Innate and Adaptive Immune Responses by Tofacitinib (CP-690,550)breakdown →
514
4 384
5 14
6 39
7 4
8 38
9 56
10 5
11 50
12 28
13 173
14 24
15 247
16 80
17 22
18 115
19 21
20 7

About Nandini Kishore

Nandini Kishore is a scholar working on Cancer Research, Immunology and Oncology, having authored 20 papers that have together received 1.9k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (12 papers), Immune Response and Inflammation (11 papers) and Cytokine Signaling Pathways and Interactions (11 papers). The work is most often cited by research in Rheumatology (501 citations), Immunology (690 citations) and Cancer Research (356 citations). Nandini Kishore has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Debra M. Meyer, Martin E. Dowty, Michael I. Jesson, John J. O’Shea, Sumathy Mathialagan, Sarbani Ghosh, Catherine S. Tripp, Arian Laurence, Samuel H. Zwillich and Gary Chan. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and Journal of Pharmacology and Experimental Therapeutics.

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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