Ruby Quartey‐Papafio

838 citations
23 papers · 692 indexed · h-index 13

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunodeficiency and Autoimmune Disorders
    • Immunotherapy and Immune Responses
  • Genetics top 10%
    • Diabetes and associated disorders
    • Chronic Lymphocytic Leukemia Research

Papers in

    • HIV Research and Treatment 4
    • T-cell and B-cell Immunology 14
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 2

Ruby Quartey‐Papafio

22 papers receiving 645 citations

Peers

Ruby Quartey‐Papafio
Comparison fields: 5 of 56
  • Immunology 457
  • Genetics 121
  • Virology 39
  • Radiology, Nuclear Medicine and Imaging 177
  • Genetics 173
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Citations per field
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Citations per year

Countries citing papers authored by Ruby Quartey‐Papafio

Since Specialization
Citations

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

Fields of papers citing papers by Ruby Quartey‐Papafio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruby Quartey‐Papafio. 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 Ruby Quartey‐Papafio. The network helps show where Ruby Quartey‐Papafio may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988137
2 1980106
3 199069
4 199565
5 198058
6 199336
7 199031
8 199329
9 199528
10 199023
11
Recognition of thyroglobulin autoantigenic epitopes by murine T and B cells.
198717
12 198416
13 198313
14 200611
15 201410
16 19909
17 20159
18 19967
19 20116
20 20124

About Ruby Quartey‐Papafio

Ruby Quartey‐Papafio is a scholar working on Virology, Immunology, Radiology, Nuclear Medicine and Imaging, Genetics and Pathology and Forensic Medicine, having authored 23 papers that have together received 692 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Diabetes and associated disorders (5 papers), HIV Research and Treatment (4 papers), Lymphoma Diagnosis and Treatment (3 papers), vaccines and immunoinformatics approaches (3 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (457 citations), Genetics (121 citations), Virology (39 citations), Radiology, Nuclear Medicine and Imaging (177 citations) and Genetics (173 citations). Ruby Quartey‐Papafio has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Anthony A. Nash, H. J. Field, Peter M. Lydyard, Pierre Youinou, Lorna Mackenzie, Barbara M. Bröker, P. Wildy, Jean Jouquan, M Blaschek and Anne Cooke. Their work appears in journals such as Scandinavian Journal of Immunology, Retrovirology, Journal of Autoimmunity, Journal of General Virology and European Journal of Immunology.

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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