Jonathan Sprent

36.2k total citations · 14 hit papers
291 papers, 29.9k citations indexed

About

Jonathan Sprent is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jonathan Sprent has authored 291 papers receiving a total of 29.9k indexed citations (citations by other indexed papers that have themselves been cited), including 267 papers in Immunology, 40 papers in Oncology and 29 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jonathan Sprent's work include T-cell and B-cell Immunology (214 papers), Immune Cell Function and Interaction (186 papers) and Immunotherapy and Immune Responses (154 papers). Jonathan Sprent is often cited by papers focused on T-cell and B-cell Immunology (214 papers), Immune Cell Function and Interaction (186 papers) and Immunotherapy and Immune Responses (154 papers). Jonathan Sprent collaborates with scholars based in United States, Australia and South Korea. Jonathan Sprent's co-authors include Charles D. Surh, David F. Tough, Onur Boyman, Robert Korngold, Hidehiro Kishimoto, Siquan Sun, Inkyu Hwang, David Lo, Susan R. Webb and Yacov Ron and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jonathan Sprent

289 papers receiving 29.0k citations

Hit Papers

The role of interleukin-... 1978 2026 1994 2010 2012 1998 1996 2008 1994 400 800 1.2k

Peers

Jonathan Sprent
Comparison fields: 5 of 149
  • Immunology 24.8k
  • Oncology 4.8k
  • Molecular Biology 4.1k
  • Epidemiology 2.4k
  • Genetics 2.2k
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Citations per field, relative to Jonathan Sprent
Jonathan Sprent · 1×
Citations per year, relative to Jonathan Sprent
Jonathan Sprent · 1×

Countries citing papers authored by Jonathan Sprent

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Sprent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Sprent

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Sprent. A scholar is included among the top collaborators of Jonathan Sprent 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 Sprent. Jonathan Sprent 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
# Work Indexed citations
1 7
2 32
3 186
4 8
5 50
6 426
7 30
8 105
9
Selective Stimulation of T Cell Subsets with Antibody-Cytokine Immune Complexes breakdown →
719
10 71
11
Type I interferons act directly on CD8 T cells to allow clonal expansion and memory formation in response to viral infection breakdown →
768
12 91
13 53
14
Presidential address to the American Association of Immunologists. Stimulating naive T cells.
14
15 16
16
Factors influencing the fate of T cells responding to Mls antigens.
15
17 8
18 8
19 62
20 151

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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2026