Jonathan P. Laye

486 citations
7 papers · 340 · h-index 7

Impact in

Papers in

    • Cutaneous Melanoma Detection and Management 2
    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 2
    • Epigenetics and DNA Methylation 1
    • Melanoma and MAPK Pathways 1
    • Cancer therapeutics and mechanisms 1

Jonathan P. Laye

7 papers receiving 339 citations

Peers

Jonathan P. Laye
Comparison fields: 5 of 70
  • Oncology 102
  • Cancer Research 51
  • Pathology and Forensic Medicine 58
  • Pharmacology 22
  • Molecular Biology 163
Replace Ninche Alston with:
Ninche Alston United States
Satyendra S. Shenoy United States
Manman Deng China
Grace L. Wong United States
C. Louwrens Braal Netherlands
Sathyen A. Prabhu United States
Bo Zhai China
Grazia Saturno Italy
Jianping Chen China
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan P. Laye

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan P. Laye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2003106
2 201984
3 201944
4 201236
5
High-resolution deletion mapping of 15q13.2-q21.1 in transitional cell carcinoma of the bladder.
200335
6 201928
7 20227

About Jonathan P. Laye

Jonathan P. Laye is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Surgery and Pharmacology, having authored 7 papers that have together received 340 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), CAR-T cell therapy research (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Epigenetics and DNA Methylation (1 paper), Immunotherapy and Immune Responses (1 paper), Melanoma and MAPK Pathways (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Oncology (102 citations), Cancer Research (51 citations), Pathology and Forensic Medicine (58 citations), Pharmacology (22 citations) and Molecular Biology (163 citations). Jonathan P. Laye has collaborated with scholars based in United Kingdom, Ireland and Greece. Frequent co-authors include Jason H. Gill, Sally J. O’Shea, Julia Newton‐Bishop, Joanna Poźniak, D. Timothy Bishop, Juliette A. Randerson‐Moor, Mark Harland, Anastasia Filia, Joey Mark S. Diaz and Jérémie Nsengimana. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, The Journal of Pathology, Clinical Cancer Research and Drug Discovery Today.

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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