Peter Keane

1.7k citations
37 papers · 1.4k · h-index 19

Impact in

Papers in

Peter Keane

35 papers receiving 1.3k citations

Peers

Peter Keane
Comparison fields: 5 of 93
  • Pharmacology 451
  • Endocrine and Autonomic Systems 147
  • Cellular and Molecular Neuroscience 392
  • Behavioral Neuroscience 66
  • Biological Psychiatry 41
Replace Adair J. Hotchkiss with:
Adair J. Hotchkiss United States
Timothy H. Goodman United Kingdom
Lakshmi Thirumangalakudi United States
Claude Chevillard France
Kathleen M. Ogilvie United States
Takatoshi Soga Japan
Flora Boroni Italy
Chun Yang Xiao China
Camila Scorticati Argentina
Elena Deliu United States
Peter Keane relative to Adair J. Hotchkiss United States Adair J. Hotchkiss's profile →
Citations per field
00.5×10×20×33.7×
Adair J. Hotchkiss · 1×
Citations per year

Countries citing papers authored by Peter Keane

Since Specialization
Citations

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

Fields of papers citing papers by Peter Keane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003505
2 1998116
3 200796
4 201880
5 200853
6 202245
7 199639
8 199932
9 202028
10 199927
11 198027
12 200927
13 202027
14 202025
15 199323
16 201923
17 202423
18 201422
19 201620
20 202319

About Peter Keane

Peter Keane is a scholar working on Hematology, Cellular and Molecular Neuroscience, Molecular Biology, Behavioral Neuroscience and Immunology, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Receptor Mechanisms and Signaling (8 papers), Protein Degradation and Inhibitors (6 papers), Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuropeptides and Animal Physiology (4 papers) and Neurotransmitter Receptor Influence on Behavior (3 papers). The work is most often cited by research in Pharmacology (451 citations), Endocrine and Autonomic Systems (147 citations), Cellular and Molecular Neuroscience (392 citations), Behavioral Neuroscience (66 citations) and Biological Psychiatry (41 citations). Peter Keane has collaborated with scholars based in United Kingdom, France and Netherlands. Frequent co-authors include Philippe Soubrié, Michele Arnone, Jean‐Pierre Maffrand, Constanze Bonifer, Peter N. Cockerill, Cathal Seoighe, Vincent Santucci, Gérard Le Fur, Guy Griebel and Caroline Cohen. Their work appears in journals such as Nature Communications, Cell Reports, Leukemia, Journal of Pharmacology and Experimental Therapeutics and Haematologica.

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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