Geoffrey W. Abbott

8.6k citations
150 papers · 6.5k indexed · 2 hit papers · h-index 38

Geoffrey W. Abbott

146 papers receiving 6.4k citations

Hit Papers

Human cardiovascular progenitor cells develop from a KDR+...1.1k19992026200820172505007501000

Peers

Geoffrey W. Abbott
Comparison fields: 5 of 136
  • Cardiology and Cardiovascular Medicine 3.7k
  • Cellular and Molecular Neuroscience 1.9k
  • Molecular Biology 5.3k
  • Sensory Systems 173
  • Developmental Neuroscience 106
Replace Rui‐Ping Xiao with:
Rui‐Ping Xiao China
Viacheslav O. Nikolaev Germany
Johannes Backs Germany
Jonathan C. Makielski United States
Elisabetta Cerbai Italy
Rodolphe Fischmeister France
Björn C. Knollmann United States
Joshua I. Goldhaber United States
Hugues Abriel Switzerland
Steven Reiken United States
Geoffrey W. Abbott relative to Rui‐Ping Xiao China Rui‐Ping Xiao's profile →
Citations per field
00.5×2.5×
Rui‐Ping Xiao · 1×
Citations per year

Countries citing papers authored by Geoffrey W. Abbott

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey W. Abbott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geoffrey W. Abbott. 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 Geoffrey W. Abbott. The network helps show where Geoffrey W. Abbott may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20242
5 20234
6 202311
7 202311
8 20221
9 20228
10 202216
11 202113
12 202123
13 20214
14 202024
15 20194
16 201936
17 201822
18 201822
19 200728
20 200519

About Geoffrey W. Abbott

Geoffrey W. Abbott is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 150 papers that have together received 6.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (115 papers), Cardiac electrophysiology and arrhythmias (93 papers), Neuroscience and Neuropharmacology Research (38 papers), Receptor Mechanisms and Signaling (14 papers), Cardiac Ischemia and Reperfusion (13 papers), Neuroscience and Neural Engineering (8 papers), Ion Transport and Channel Regulation (7 papers) and Cardiomyopathy and Myosin Studies (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.7k citations), Cellular and Molecular Neuroscience (1.9k citations) and Molecular Biology (5.3k citations). Geoffrey W. Abbott has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Steven A. Goldstein, Torsten K. Roepke, Zoe A. McCrossan, Federico Sesti, Rían W. Manville, Gianina Panaghie, Marianne E. Buck, Michael H. Lehmann, Mark T. Keating and Katherine W. Timothy. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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