Peter Hamilton

57 papers receiving 1.7k citations

Peter Hamilton's Hit Papers

Regulatory T cells promote myelin regeneration in the central nervous system 2017 · 406 citations
4060+3+6Years since publication100200300400

Peers

Peter Hamilton
Comparison fields: 5 of 146
  • Health Informatics 83
  • Pathology and Forensic Medicine 196
  • Cancer Research 138
  • Artificial Intelligence 353
  • Developmental Neuroscience 30
Replace Daniel B. Lipka with:
Daniel B. Lipka Germany
David Wadden United States
Michael John Becich United States
Wenjie Hu China
Alex Handler Wagner United States
Jonathan Godwin United Kingdom
John C Shon United States
David A. Fenstermacher United States
Thomas Von Yu United States
John B. Miller United States
Peter Hamilton relative to Daniel B. Lipka Germany Daniel B. Lipka's profile →
Citations per field
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Daniel B. Lipka · 1×
Citations per year

Countries citing papers authored by Peter Hamilton

Since Specialization
Citations

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

Fields of papers citing papers by Peter Hamilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Regulatory T cells promote myelin regeneration in the central nervous system
Hit paper breakdown →
2017406
2 2019213
3 2018140
4 201390
5 200679
6 200969
7 201361
8 201359
9 201751
10 200243
11 200740
12 201638
13 201136
14 201229
15 201428
16 201527
17 200125
18 200725
19 201323
20 200022

About Peter Hamilton

Peter Hamilton is a scholar working on Cancer Research, Public Administration, Artificial Intelligence, Oncology and General Health Professions, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Labor Movements and Unions (5 papers), Rhetoric and Communication Studies (4 papers), Cancer Cells and Metastasis (4 papers), Health Services Management and Policy (3 papers), Genetic factors in colorectal cancer (3 papers), TGF-β signaling in diseases (3 papers) and Linguistics and Discourse Analysis (3 papers). The work is most often cited by research in Health Informatics (83 citations), Pathology and Forensic Medicine (196 citations), Cancer Research (138 citations), Artificial Intelligence (353 citations) and Developmental Neuroscience (30 citations). Peter Hamilton has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Manuel Salto‐Tellez, Perry Maxwell, Jim Diamond, Tom Redman, Paul G. O’Reilly, Ahmed Serag, Adrian Ion‐Mărgineanu, Hammad Qureshi, Robert G. McMurray and Darragh G. McArt. Their work appears in journals such as Gut, Personnel Review, Analytical Cellular Pathology, Oncotarget and International Journal of Public Sector Management.

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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