Peter Barton

722 citations
17 papers · 578 · h-index 11

Impact in

Papers in

Peter Barton

16 papers receiving 564 citations

Peers

Peter Barton
Comparison fields: 5 of 56
  • Oncology 166
  • Pulmonary and Respiratory Medicine 171
  • Endocrine and Autonomic Systems 27
  • Molecular Biology 285
  • Hematology 36
Replace Kaoru Funabashi with:
Kaoru Funabashi Japan
Clive McCarthy Switzerland
Jerzy R. Szewczyk United States
Céline Auzanneau France
Juan M. Jiménez‐Vacas Spain
Marc Vimolratana United States
Charles W. Bruseo United States
Franziska Siegel Germany
David Partida Spain
Paula Savage United States
Peter Barton relative to Kaoru Funabashi Japan Kaoru Funabashi's profile →
Citations per field
00.5×10×20×30×38×
Kaoru Funabashi · 1×
Citations per year

Countries citing papers authored by Peter Barton

Since Specialization
Citations

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

Fields of papers citing papers by Peter Barton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2020175
2 2018122
3 201769
4 201430
5 201730
6 202125
7 201223
8 201621
9 202118
10 202115
11 201211
12 202211
13 201810
14 20128
15 20138
16 20252
17 20260

About Peter Barton

Peter Barton is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems, Oncology and Hematology, having authored 17 papers that have together received 578 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Lung Cancer Treatments and Mutations (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Cancer-related gene regulation (2 papers), Epigenetics and DNA Methylation (2 papers), Receptor Mechanisms and Signaling (2 papers), Regulation of Appetite and Obesity (2 papers) and Cancer therapeutics and mechanisms (2 papers). The work is most often cited by research in Oncology (166 citations), Pulmonary and Respiratory Medicine (171 citations), Endocrine and Autonomic Systems (27 citations), Molecular Biology (285 citations) and Hematology (36 citations). Peter Barton has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include William McCoull, Andrew G. Leach, Martin John Packer, James W.T. Yates, Michael J. Waring, Muireann Coen, Andrew Bloecher, Annika Janefeldt, Gregory R. Hamm and Paul D. Kemmitt. Their work appears in journals such as Journal of Medicinal Chemistry, MedChemComm, ACS Chemical Biology, Chemical Research in Toxicology and Bioorganic & Medicinal Chemistry Letters.

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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