Jonathan P. Orme

785 citations
13 papers · 184 · h-index 5

Impact in

    • Lung Cancer Research Studies
    • Colorectal Cancer Treatments and Studies
    • HER2/EGFR in Cancer Research
    • Lung Cancer Treatments and Mutations
    • Lung Cancer Diagnosis and Treatment

Papers in

Jonathan P. Orme

12 papers receiving 179 citations

Peers

Jonathan P. Orme
Comparison fields: 5 of 42
  • Oncology 100
  • Pulmonary and Respiratory Medicine 114
  • Cancer Research 28
  • Molecular Biology 93
  • Aging 2
Replace Silvia Buriolla with:
Silvia Buriolla Italy
Cyrus L. Harmon United States
Deborah Ayeni United States
Pablo Romero-Clavijo United Kingdom
Kuikui Jiang China
Wanda DePinto United States
Antonietta Bacchiocchi United States
Sara Costa-Cabral United Kingdom
Savita Ubhayakar United States
Fedor V. Moiseyenko Russia
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Citations per field
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Silvia Buriolla · 1×
Citations per year

Countries citing papers authored by Jonathan P. Orme

Since Specialization
Citations

This map shows the geographic impact of Jonathan P. Orme'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. Orme 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. Orme more than expected).

Fields of papers citing papers by Jonathan P. Orme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201885
2 202038
3 201831
4 20199
5 20167
6 20114
7 20113
8 20223
9 20241
10 20191
11 20191
12 20161
13 20240

About Jonathan P. Orme

Jonathan P. Orme is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Biophysics and Biomedical Engineering, having authored 13 papers that have together received 184 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), HER2/EGFR in Cancer Research (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Cell Image Analysis Techniques (2 papers), Digital Imaging for Blood Diseases (2 papers), Cancer therapeutics and mechanisms (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Oncology (100 citations), Pulmonary and Respiratory Medicine (114 citations), Cancer Research (28 citations), Molecular Biology (93 citations) and Aging (2 citations). Jonathan P. Orme has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Darren A.E. Cross, Nicolas Floc’h, Matthew J. Martin, Jonathan W. Riess, Mingshan Cheng, Daniel O’Neill, Philip C. Mack, M. Raymond V. Finlay, Richard A. Ward and Ludovic Ménard. Their work appears in journals such as SLAS DISCOVERY, Molecular Cancer Therapeutics, ACS Medicinal Chemistry Letters, Cancer Research and Scientific Reports.

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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