Daniel C. Devor

73 papers receiving 3.7k citations

Peers

Daniel C. Devor
Comparison fields: 5 of 107
  • Sensory Systems 252
  • Reproductive Medicine 308
  • Cardiology and Cardiovascular Medicine 745
  • Pulmonary and Respiratory Medicine 1.1k
  • Molecular Biology 2.3k
Replace Kiyoshi Furuichi with:
Kiyoshi Furuichi Japan
Françoise Cluzeaud France
Patrick J. Schultheis United States
Finn Olav Levy Norway
Jens Schlossmann Germany
Bernard Himpens Belgium
Nambi Aiyar United States
Burton Horowitz United States
Peter Vangheluwe Belgium
Luz Candenas Spain
Daniel C. Devor relative to Kiyoshi Furuichi Japan Kiyoshi Furuichi's profile →
Citations per field
00.5×10.7×
Kiyoshi Furuichi · 1×
Citations per year

Countries citing papers authored by Daniel C. Devor

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Devor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Devor. 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 Daniel C. Devor. The network helps show where Daniel C. Devor may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992317
2 1992293
3 1999255
4 1999251
5 1996205
6 2000148
7 2001136
8 1999121
9 2000121
10 2000103
11 199799
12 200196
13 199381
14 199377
15 199676
16 199472
17 199371
18 200163
19 199061
20 199858

About Daniel C. Devor

Daniel C. Devor is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pulmonary and Respiratory Medicine and Physiology, having authored 76 papers that have together received 3.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (43 papers), Cardiac electrophysiology and arrhythmias (22 papers), Ion Transport and Channel Regulation (18 papers), Cystic Fibrosis Research Advances (16 papers), Neuroscience and Neuropharmacology Research (13 papers), Cellular transport and secretion (10 papers), Asthma and respiratory diseases (8 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Sensory Systems (252 citations), Reproductive Medicine (308 citations), Cardiology and Cardiovascular Medicine (745 citations), Pulmonary and Respiratory Medicine (1.1k citations) and Molecular Biology (2.3k citations). Daniel C. Devor has collaborated with scholars based in United States, New Zealand and United Kingdom. Frequent co-authors include Robert J. Bridges, Raymond A. Frizzell, Jeffrey C. Sellers, Jimmy D. Neill, Sham S. Kakar, Lois C. Musgrove, Joseph M. Pilewski, Aaron C. Gerlach, Colin A. Syme and Kirk L. Hamilton. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Journal of Biological Chemistry, PLoS ONE, American Journal of Physiology-Lung Cellular and Molecular Physiology and The FASEB Journal.

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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