Rekha S. Binda

886 citations
14 papers · 721 · h-index 11

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune Response and Inflammation

Papers in

    • Immunotherapy and Immune Responses 8
    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Toxin Mechanisms and Immunotoxins 1
    • Hepatitis B Virus Studies 9

Rekha S. Binda

14 papers receiving 704 citations

Peers

Rekha S. Binda
Comparison fields: 5 of 42
  • Hepatology 277
  • Immunology 355
  • Epidemiology 473
  • Infectious Diseases 78
  • Virology 15
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Citations per year

Countries citing papers authored by Rekha S. Binda

Since Specialization
Citations

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

Fields of papers citing papers by Rekha S. Binda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rekha S. Binda. 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 Rekha S. Binda. The network helps show where Rekha S. Binda may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2004218
2 2008186
3 200872
4 200844
5 200939
6 200536
7 201229
8 200724
9
Induction of regulatory T-cells and interleukin-10-producing cells in non-responders to pegylated interferon-alpha therapy for chronic hepatitis B.
200723
10 200319
11 200618
12 20058
13 20124
14 20071

About Rekha S. Binda

Rekha S. Binda is a scholar working on Immunology, Epidemiology, Hepatology, Molecular Biology and Infectious Diseases, having authored 14 papers that have together received 721 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Immunotherapy and Immune Responses (8 papers), Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Hepatitis C virus research (3 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Toxin Mechanisms and Immunotoxins (1 paper) and PI3K/AKT/mTOR signaling in cancer (1 paper). The work is most often cited by research in Hepatology (277 citations), Immunology (355 citations), Epidemiology (473 citations), Infectious Diseases (78 citations) and Virology (15 citations). Rekha S. Binda has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Harry L.A. Janssen, Renate G. van der Molen, Andrea M. Woltman, Dave Sprengers, Johannes G. Kusters, Jaap Kwekkeboom, Marjoleine L. Op den Brouw, Ulrike Protzer, Esther C. de Jong and Mark H. van Roosmalen. Their work appears in journals such as Antiviral Therapy, Clinical Immunology, Immunology Letters, Immunology and Journal of Hepatology.

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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