Sharmal Narayan

574 citations
10 papers · 467 · h-index 9

Impact in

  • Nephrology top 5%
    • Gout, Hyperuricemia, Uric Acid
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • IL-33, ST2, and ILC Pathways
    • T-cell and B-cell Immunology

Papers in

    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 3
    • Galectins and Cancer Biology 1
    • Inflammasome and immune disorders 3

Sharmal Narayan

10 papers receiving 462 citations

Peers

Sharmal Narayan
Comparison fields: 5 of 57
  • Nephrology 100
  • Immunology 207
  • Hematology 49
  • Rheumatology 63
  • Molecular Biology 200
Replace Laeticia Kolly with:
Laeticia Kolly Switzerland
Borbála Pazár Hungary
Rhonda Geoffrey United States
Marion E. Paape Netherlands
Andrea Ottria Netherlands
Luc Lyonnet France
Lingli Dong China
Taichiro Miyashita Japan
J. Ivorra Cortés Spain
Xinai Han China
Sharmal Narayan relative to Laeticia Kolly Switzerland Laeticia Kolly's profile →
Citations per field
00.5×1.5×
Laeticia Kolly · 1×
Citations per year

Countries citing papers authored by Sharmal Narayan

Since Specialization
Citations

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

Fields of papers citing papers by Sharmal Narayan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2011207
2 200967
3 201037
4 200935
5 200933
6 201324
7 201121
8 200720
9 201116
10 20047

About Sharmal Narayan

Sharmal Narayan is a scholar working on Immunology, Molecular Biology, Hematology, Surgery and Nephrology, having authored 10 papers that have together received 467 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Inflammasome and immune disorders (3 papers), Immune Cell Function and Interaction (3 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Erythrocyte Function and Pathophysiology (1 paper), Cell Adhesion Molecules Research (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Nephrology (100 citations), Immunology (207 citations), Hematology (49 citations), Rheumatology (63 citations) and Molecular Biology (200 citations). Sharmal Narayan has collaborated with scholars based in Switzerland, Australia and United States. Frequent co-authors include Alexander So, Nathalie Busso, Laeticia Kolly, Véronique Chobaz, Frédéric Lioté, Hang‐Korng Ea, Borbála Pazár, Thierry Roger, Graham R. Leggatt and Germain J. P. Fernando. Their work appears in journals such as The Journal of Immunology, Immunology, European Journal of Immunology, Gastroenterology 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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