Jonathan Skupsky

732 total citations
27 papers, 509 citations indexed

About

Jonathan Skupsky is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jonathan Skupsky has authored 27 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Jonathan Skupsky's work include Hemophilia Treatment and Research (5 papers), T-cell and B-cell Immunology (5 papers) and CAR-T cell therapy research (4 papers). Jonathan Skupsky is often cited by papers focused on Hemophilia Treatment and Research (5 papers), T-cell and B-cell Immunology (5 papers) and CAR-T cell therapy research (4 papers). Jonathan Skupsky collaborates with scholars based in United States, Switzerland and Somalia. Jonathan Skupsky's co-authors include David W. Scott, Ai-Hong Zhang, Yan Su, Mahdia Benkhoucha, Magali Irla, Rami Lissilaa, Tobias Suter, A. Fontana, Stéphanie Hugues and Walter Reith and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jonathan Skupsky

26 papers receiving 504 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan Skupsky United States 13 220 129 110 83 72 27 509
Sarah Pogue United States 10 545 2.5× 153 1.2× 52 0.5× 30 0.4× 119 1.7× 13 776
I R Cohen Israel 11 393 1.8× 204 1.6× 28 0.3× 100 1.2× 60 0.8× 16 698
Gang Xiao United States 12 270 1.2× 227 1.8× 71 0.6× 41 0.5× 176 2.4× 33 557
Kumi Izawa Japan 13 465 2.1× 209 1.6× 39 0.4× 24 0.3× 79 1.1× 29 734
Weiwei Ma China 11 451 2.0× 122 0.9× 19 0.2× 41 0.5× 124 1.7× 25 651
Hisashi Bashuda Japan 14 644 2.9× 105 0.8× 63 0.6× 46 0.6× 126 1.8× 27 952
Volker Blaschke Germany 14 365 1.7× 131 1.0× 48 0.4× 42 0.5× 91 1.3× 26 677
Casimir de Rham Switzerland 10 406 1.8× 147 1.1× 59 0.5× 31 0.4× 136 1.9× 14 658
María Lucila Scimone United States 6 608 2.8× 122 0.9× 54 0.5× 45 0.5× 148 2.1× 6 758
C P Chiu United States 5 202 0.9× 234 1.8× 44 0.4× 61 0.7× 119 1.7× 8 543

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-authorship network of co-authors of Jonathan Skupsky

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Skupsky. A scholar is included among the top collaborators of Jonathan Skupsky based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jonathan Skupsky. Jonathan Skupsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bose, Dipro, Kelly Moffat, Ewan R. Pearson, et al.. (2024). Gulf War Illness Is Associated with Host Gut Microbiome Dysbiosis and Is Linked to Altered Species Abundance in Veterans from the BBRAIN Cohort. International Journal of Environmental Research and Public Health. 21(8). 1102–1102. 1 indexed citations
2.
Sabui, Subrata, Anthonymuthu Selvaraj, Jonathan Skupsky, et al.. (2024). Effect of knocking out mouse Slc44a4 on colonic uptake of the microbiota-generated thiamine pyrophosphate and colon physiology. American Journal of Physiology-Gastrointestinal and Liver Physiology. 327(1). G36–G46. 4 indexed citations
3.
Jacobs, Jonathan P., et al.. (2023). Biotin Deficiency Induces Intestinal Dysbiosis Associated with an Inflammatory Bowel Disease-like Phenotype. Nutrients. 15(2). 264–264. 18 indexed citations
4.
5.
6.
Sabui, Subrata, Jonathan Skupsky, Rubina Kapadia, et al.. (2019). Tamoxifen-induced, intestinal-specific deletion of Slc5a6 in adult mice leads to spontaneous inflammation: involvement of NF-κB, NLRP3, and gut microbiota. American Journal of Physiology-Gastrointestinal and Liver Physiology. 317(4). G518–G530. 19 indexed citations
7.
Dong, Hui, Shivashankar Othy, Amit Jairaman, et al.. (2017). T-cell calcium dynamics visualized in a ratiometric tdTomato-GCaMP6f transgenic reporter mouse. eLife. 6. 49 indexed citations
8.
Skupsky, Jonathan & Ke‐Qin Hu. (2014). Current hepatitis B treatment guidelines and future research directions. Frontiers of Medicine. 8(2). 145–157. 4 indexed citations
9.
Chapoval, Svetlana P., et al.. (2013). STAT6 Controls the Number of Regulatory T Cells In Vivo, Thereby Regulating Allergic Lung Inflammation. The Journal of Immunology. 191(4). 1517–1528. 24 indexed citations
10.
Su, Yan, Ai-Hong Zhang, Xin Li, et al.. (2011). B cells “transduced” with TAT-fusion proteins can induce tolerance and protect mice from diabetes and EAE. Clinical Immunology. 140(3). 260–267. 6 indexed citations
11.
Irla, Magali, Tobias Suter, Rami Lissilaa, et al.. (2010). MHC class II–restricted antigen presentation by plasmacytoid dendritic cells inhibits T cell–mediated autoimmunity. The Journal of Experimental Medicine. 207(9). 1891–1905. 108 indexed citations
12.
Zhang, Ai-Hong, Olusegun O. Onabajo, Yan Su, et al.. (2010). B-cell delivered gene therapy for tolerance induction: Role of autoantigen-specific B cells. Journal of Autoimmunity. 35(2). 107–113. 16 indexed citations
13.
Skupsky, Jonathan, Ai-Hong Zhang, Yan Su, & David W. Scott. (2010). B-Cell-Delivered Gene Therapy Induces Functional T Regulatory Cells and Leads to a Loss of Antigen-Specific Effector Cells. Molecular Therapy. 18(8). 1527–1535. 39 indexed citations
14.
Skupsky, Jonathan, et al.. (2010). Gene therapy for tolerance and vice versa: a case for hemophilia.. PubMed. 12(5). 509–18. 6 indexed citations
15.
Skupsky, Jonathan, Ai-Hong Zhang, Yan Su, & David W. Scott. (2009). A role for thrombin in the initiation of the immune response to therapeutic factor VIII. Blood. 114(21). 4741–4748. 37 indexed citations
16.
Skupsky, Jonathan, et al.. (2009). Factor VIII Inhibitors: Risk Factors and Methods for Prevention and Immune Modulation. Clinical Reviews in Allergy & Immunology. 37(2). 114–124. 19 indexed citations
17.
Skupsky, Jonathan, et al.. (2008). Role of Adaptive Regulatory T Cells in the Induction of Tolerance to FVIII. Blood. 112(11). 1027–1027. 2 indexed citations
18.
Moise, Leonard, Jonathan Skupsky, Ryan Tassone, et al.. (2008). De-Immunization of Human Factor VIII: Identification of Epitopes in the C2 Domain. Blood. 112(11). 1030–1030. 3 indexed citations
19.
Skupsky, Jonathan, Yan Su, Tiechi Lei, & David F. Scott. (2007). Tolerance Induction by Gene Transfer to Lymphocytes. Current Gene Therapy. 7(5). 369–380. 32 indexed citations
20.
Skupsky, Jonathan, et al.. (2004). Membrane chromatography of DNA: Conformation‐induced capacity and selectivity. Biotechnology and Bioengineering. 88(1). 26–34. 40 indexed citations

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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