Jonathan Skupsky

741 citations
27 papers · 516 · h-index 13

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Hematology top 10%
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments

Papers in

Jonathan Skupsky

26 papers receiving 511 citations

Peers

Jonathan Skupsky
Comparison fields: 5 of 79
  • Immunology 217
  • Hematology 110
  • Radiology, Nuclear Medicine and Imaging 64
  • Genetics 83
  • Oncology 69
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C P Chiu United States
Loya Abel Israel
Simon Glatigny France
Alexander J. Finn United States
Joanne C. Cooper United Kingdom
Colette Kristofic Switzerland
Alistair L. J. Symonds United Kingdom
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Citations per year

Countries citing papers authored by Jonathan Skupsky

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Skupsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010110
2 201750
3 201049
4 200440
5 201039
6 200937
7 200732
8 201026
9 201324
10 201921
11 202319
12 200919
13 201016
14 20116
15
Gene therapy for tolerance and vice versa: a case for hemophilia.
20106
16 20244
17 20144
18 20083
19 20082
20 20232

About Jonathan Skupsky

Jonathan Skupsky is a scholar working on Immunology, Molecular Biology, Oncology, Hematology and Genetics, having authored 27 papers that have together received 516 indexed citations. Recurring topics across this work include Hemophilia Treatment and Research (5 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), CAR-T cell therapy research (4 papers), Vitamin C and Antioxidants Research (3 papers), Biotin and Related Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Platelet Disorders and Treatments (3 papers). The work is most often cited by research in Immunology (217 citations), Hematology (110 citations), Radiology, Nuclear Medicine and Imaging (64 citations), Genetics (83 citations) and Oncology (69 citations). Jonathan Skupsky has collaborated with scholars based in United States, Switzerland and Somalia. Frequent co-authors include David W. Scott, Ai-Hong Zhang, Yan Su, A. Fontana, Rami Lissilaa, Mahdia Benkhoucha, Stéphanie Hugues, Tobias Suter, Magali Irla and Walter Reith. Their work appears in journals such as Blood, Gastroenterology, American Journal of Physiology-Gastrointestinal and Liver Physiology, The Journal of Experimental Medicine and Current Gene Therapy.

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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