Jon Chesebrough

606 citations
10 papers · 426 · h-index 6

Impact in

    • CAR-T cell therapy research
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers
    • Immunotherapy and Immune Responses

Papers in

    • Ubiquitin and proteasome pathways 1
    • Metabolism, Diabetes, and Cancer 1
    • Heat shock proteins research 1
    • Protein Tyrosine Phosphatases 1
    • CAR-T cell therapy research 3
    • Cancer Immunotherapy and Biomarkers 2

Jon Chesebrough

9 papers receiving 409 citations

Peers

Jon Chesebrough
Comparison fields: 5 of 57
  • Oncology 204
  • Immunology 109
  • Endocrinology, Diabetes and Metabolism 75
  • Cancer Research 49
  • Radiology, Nuclear Medicine and Imaging 73
Replace Manuela Lacerda with:
Manuela Lacerda Portugal
Mohammad Sayeeduddin United States
Mariam Gachechiladze Czechia
Delphine Quatannens Belgium
Kian Kani United States
Caterina Malcontenti‐Wilson Australia
Linda Mooberry United States
Oliver Holmes Canada
Mercedes Marín‐Aguilera Spain
Pietro Parcesepe Italy
Jon Chesebrough relative to Manuela Lacerda Portugal Manuela Lacerda's profile →
Citations per field
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Manuela Lacerda · 1×
Citations per year

Countries citing papers authored by Jon Chesebrough

Since Specialization
Citations

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

Fields of papers citing papers by Jon Chesebrough

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2015146
2 2011105
3 201791
4 200139
5 200934
6 20227
7 20131
8 20201
9 20171
10 20131

About Jon Chesebrough

Jon Chesebrough is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Organic Chemistry, having authored 10 papers that have together received 426 indexed citations. Recurring topics across this work include CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Ubiquitin and proteasome pathways (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Heat shock proteins research (1 paper), Protein Tyrosine Phosphatases (1 paper) and Synthesis and pharmacology of benzodiazepine derivatives (1 paper). The work is most often cited by research in Oncology (204 citations), Immunology (109 citations), Endocrinology, Diabetes and Metabolism (75 citations), Cancer Research (49 citations) and Radiology, Nuclear Medicine and Imaging (73 citations). Jon Chesebrough has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Jonathan Rios‐Doria, Robert E. Hollingsworth, Raymond Rothstein, Leslie Wetzel, Ching Ching Leow, Nicholas Holoweckyj, Nicholas M. Durham, Wei Zhao, Bahija Jallal and Yong S. Chang. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Neoplasia, Cytotherapy and Journal of Biological Chemistry.

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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