Nisha H. Kabra

1.1k citations
8 papers · 1.0k indexed · 1 hit paper · h-index 8
  • Immunology top 5%
    • Phagocytosis and Immune Regulation 5
    • T-cell and B-cell Immunology 2
    • Immune Cell Function and Interaction 2
    • Immune Response and Inflammation 2
    • Cell death mechanisms and regulation 6
    • RNA Interference and Gene Delivery 1
    • Cancer-related Molecular Pathways 1
    • Cancer Research and Treatments 1

Nisha H. Kabra

8 papers receiving 991 citations

Hit Papers

Fas-mediated apoptosis and activation-induced T-cell prol...6191998202620072016200400600

Peers

Nisha H. Kabra
Comparison fields: 5 of 64
  • Immunology 598
  • Cancer Research 223
  • Molecular Biology 765
  • Oncology 192
  • Genetics 62
Replace Maria Hottelet with:
Maria Hottelet United States
Saritha Kusam United States
Sybil M. Santee United States
Amy Reichlin United States
Jan Žaloudík Czechia
Brigitte Kahn‐Perlès France
Madeleine Bonnard Canada
Michele M. Johnson United States
Ai Kotani Japan
Geraldine Shu United States
Nisha H. Kabra relative to Maria Hottelet United States Maria Hottelet's profile →
Citations per field
00.5×1.5×
Maria Hottelet · 1×
Citations per year

Countries citing papers authored by Nisha H. Kabra

Since Specialization
Citations

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

Fields of papers citing papers by Nisha H. Kabra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nisha H. Kabra. 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 Nisha H. Kabra. The network helps show where Nisha H. Kabra may publish in the future.

Co-authorship network

The 22 scholars most cited alongside Nisha H. Kabra, 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 Nisha H. Kabra Line = papers co-authored together Nisha H. Kabra links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200178
2 200193
3 199918
4 199922
5 199910
6
Fas-mediated apoptosis and activation-induced T-cell proliferation are defective in mice lacking FADD/Mort1breakdown →
1998619
7 199867
8 199695

About Nisha H. Kabra

Nisha H. Kabra is a scholar working on Immunology, Biotechnology and Molecular Biology, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (6 papers), Phagocytosis and Immune Regulation (5 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Immune Response and Inflammation (2 papers), RNA Interference and Gene Delivery (1 paper), Cancer-related Molecular Pathways (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Immunology (598 citations), Cancer Research (223 citations) and Molecular Biology (765 citations). Nisha H. Kabra has collaborated with scholars based in United States and Croatia. Frequent co-authors include Astar Winoto, Jianke Zhang, Dragana Cado, Chulho Kang, Nanette Solvason, Emma Lees, L. Hsing, Wei Wu, Xiaodong Wu and M Howard. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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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