V.C. Suraj

510 citations
5 papers · 424 · h-index 4

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Blood groups and transfusion

Papers in

    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3
    • Immunotherapy and Immune Responses 2
    • SARS-CoV-2 and COVID-19 Research 1

V.C. Suraj

4 papers receiving 403 citations

Peers

V.C. Suraj
Comparison fields: 5 of 64
  • Immunology 297
  • Hematology 78
  • Genetics 125
  • Virology 14
  • Gastroenterology 11
Replace Roanna Ueda with:
Roanna Ueda United States
A Mire-Sluis United Kingdom
Jeffrey D. Price United States
Stéphane Leclair Germany
Amelia Kacena United States
Iryna Shanina Canada
H O McDevitt United States
Christina Bade‐Doeding Germany
Chieko Ishifune Japan
Anja U. van Lent Netherlands
V.C. Suraj relative to Roanna Ueda United States Roanna Ueda's profile →
Citations per field
00.5×1.7×
Roanna Ueda · 1×
Citations per year

Countries citing papers authored by V.C. Suraj

Since Specialization
Citations

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

Fields of papers citing papers by V.C. Suraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.C. Suraj. 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 V.C. Suraj. The network helps show where V.C. Suraj may publish in the future.

Co-authors

The 15 scholars most cited alongside V.C. Suraj, 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 V.C. Suraj Line = papers co-authored together V.C. Suraj links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About V.C. Suraj

V.C. Suraj is a scholar working on Immunology, Infectious Diseases, Molecular Biology, General Health Professions and Computational Theory and Mathematics, having authored 5 papers that have together received 424 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (2 papers), FOXO transcription factor regulation (1 paper), Computational Drug Discovery Methods (1 paper), Hormonal Regulation and Hypertension (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Diverse Scientific Research Studies (1 paper). The work is most often cited by research in Immunology (297 citations), Hematology (78 citations), Genetics (125 citations), Virology (14 citations) and Gastroenterology (11 citations). V.C. Suraj has collaborated with scholars based in India, Sudan and France. Frequent co-authors include Teodorica L. Bugawan, G. McClure, N Fildes, A. Begovich, William Klitz, A. B. Begovich, Jean Roudier, Priscilla Moonsamy, Mark Stoneking and Randall K. Saiki. Their work appears in journals such as Journal of Molecular Graphics and Modelling, The Journal of Immunology, PubMed and Tissue Antigens.

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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