Saumya Kumar

980 citations
14 papers · 430 indexed · h-index 8

Impact in

Papers in

    • Single-cell and spatial transcriptomics 2
    • TGF-β signaling in diseases 1
    • Genomics and Phylogenetic Studies 1
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 3

Saumya Kumar

13 papers receiving 427 citations

Peers

Saumya Kumar
Comparison fields: 5 of 80
  • Aging 19
  • Sensory Systems 48
  • Immunology 198
  • Business and International Management 8
  • Molecular Biology 158
Replace Olivier Labbé with:
Olivier Labbé Belgium
Lin Yuan United States
Xun Li China
Shuji Takabayashi Japan
Donald W. Harms United States
Jonathan N. Rosen United States
Nicola Bedoni Switzerland
Séverine Ménoret France
Kalina Draganova Switzerland
Hiroyuki Kyushiki Japan
Saumya Kumar relative to Olivier Labbé Belgium Olivier Labbé's profile →
Citations per field
00.5×7.7×
Olivier Labbé · 1×
Citations per year

Countries citing papers authored by Saumya Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Saumya Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018220
2 201697
3 202128
4 201518
5 201817
6 201415
7 201814
8 20257
9 20246
10 20233
11 20242
12 20182
13 20241
14 20250

About Saumya Kumar

Saumya Kumar is a scholar working on Molecular Biology, Immunology, Genetics, Surgery and Infectious Diseases, having authored 14 papers that have together received 430 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (3 papers), Single-cell and spatial transcriptomics (2 papers), Long-Term Effects of COVID-19 (1 paper), Connective tissue disorders research (1 paper), TGF-β signaling in diseases (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Aging (19 citations), Sensory Systems (48 citations), Immunology (198 citations), Business and International Management (8 citations) and Molecular Biology (158 citations). Saumya Kumar has collaborated with scholars based in United Kingdom, Portugal and Germany. Frequent co-authors include Luís Graça, Válter R. Fonseca, Marisa Stebegg, Michelle A. Linterman, Alyssa Silva-Cayetano, Ann‐Marie Mallon, Michelle M. Simon, Steve D. M. Brown, Lauren Chessum and Andrew Parker. Their work appears in journals such as Frontiers in Immunology, Science Advances, Scientific Reports, JBMR Plus and Human Molecular Genetics.

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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