Robin Parsons

814 citations
16 papers · 578 · h-index 13

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Virology top 10%

Papers in

    • Immunotherapy and Immune Responses 4
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 3
    • Herpesvirus Infections and Treatments 2

Robin Parsons

15 papers receiving 572 citations

Peers

Robin Parsons
Comparison fields: 5 of 84
  • Immunology 239
  • Virology 41
  • Geriatrics and Gerontology 20
  • Infectious Diseases 93
  • Dermatology 40
Replace Xiqiang Yang with:
Xiqiang Yang China
Megan E. Fitzgerald United States
Benjamin Trinité Spain
Alexandre Bosch Spain
Kathrin Kastenmüller Germany
K.F. Kölmel Germany
Bin Chou Japan
Eulogia Román United States
Tanja Bauer Germany
Suguru Imaeda United States
Robin Parsons relative to Xiqiang Yang China Xiqiang Yang's profile →
Citations per field
00.5×4.6×
Xiqiang Yang · 1×
Citations per year

Countries citing papers authored by Robin Parsons

Since Specialization
Citations

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

Fields of papers citing papers by Robin Parsons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200676
2 199970
3 201266
4 200949
5 201447
6 201443
7 201039
8 201638
9 201037
10 200734
11 200827
12 201726
13 201618
14 20057
15
Correlation of heterophil agglutinins with the complete blood counts of auction calves.
19701
16 20230

About Robin Parsons

Robin Parsons is a scholar working on Immunology, Epidemiology, Genetics, Molecular Biology and Oncology, having authored 16 papers that have together received 578 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (3 papers), CAR-T cell therapy research (3 papers), Virus-based gene therapy research (3 papers), Herpesvirus Infections and Treatments (2 papers), Antioxidant Activity and Oxidative Stress (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Immunology (239 citations), Virology (41 citations), Geriatrics and Gerontology (20 citations), Infectious Diseases (93 citations) and Dermatology (40 citations). Robin Parsons has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jonathan L. Bramson, Mark Loeb, Carole Evelegh, Alina Lelic, Natalie Grinshtein, James Millar, Yonghong Wan, Dawn M. E. Bowdish, Chris P. Verschoor and John Knowland. Their work appears in journals such as PLoS ONE, Molecular Therapy, The Journal of Immunology, The Journal of Infectious Diseases and Journal of Virology.

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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