David J. Beech

203 papers receiving 9.8k citations

Peers

David J. Beech
Comparison fields: 5 of 138
  • Sensory Systems 4.1k
  • Cellular and Molecular Neuroscience 2.7k
  • Physiology 450
  • Biochemistry 527
  • Physiology 2.1k
Replace Christian Harteneck with:
Christian Harteneck Germany
Marc Freichel Germany
Guy Droogmans Belgium
Indu S. Ambudkar United States
Jean Prenen Belgium
Mohamed Trebak United States
Tibor Rohács United States
Klaus Groschner Austria
Natalia Prevarskaya France
Ryuji Inoue Japan
David J. Beech relative to Christian Harteneck Germany Christian Harteneck's profile →
Citations per field
00.5×2.7×
Christian Harteneck · 1×
Citations per year

Countries citing papers authored by David J. Beech

Since Specialization
Citations

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

Fields of papers citing papers by David J. Beech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Beech. 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 David J. Beech. The network helps show where David J. Beech may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 209 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001321
2 2003250
3 2008237
4 2005212
5 1991200
6 2004196
7 2007190
8 2019179
9 1992173
10 2003171
11 2006169
12 2011169
13 2015169
14 1993164
15 2018161
16 1991161
17 2013156
18 1989144
19 2004138
20 2005138

About David J. Beech

David J. Beech is a scholar working on Molecular Biology, Sensory Systems, Cellular and Molecular Neuroscience, Physiology and Cardiology and Cardiovascular Medicine, having authored 209 papers that have together received 9.9k indexed citations. Recurring topics across this work include Ion Channels and Receptors (86 papers), Ion channel regulation and function (73 papers), Neurobiology and Insect Physiology Research (31 papers), Cardiac electrophysiology and arrhythmias (28 papers), Erythrocyte Function and Pathophysiology (28 papers), Neuroscience and Neuropharmacology Research (22 papers), Blood properties and coagulation (20 papers) and Biochemical Analysis and Sensing Techniques (13 papers). The work is most often cited by research in Sensory Systems (4.1k citations), Cellular and Molecular Neuroscience (2.7k citations), Physiology (450 citations), Biochemistry (527 citations) and Physiology (2.1k citations). David J. Beech has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Shang‐Zhong Xu, T. B. Bolton, Laurent Bernheim, Katsuhiko Muraki, Damian McHugh, R. Flemming, Fanning Zeng, Piruthivi Sukumar, Antreas C. Kalli and Karen E. Porter. Their work appears in journals such as British Journal of Pharmacology, The Journal of Physiology, Circulation Research, Journal of Biological Chemistry and Pflügers Archiv - European Journal of Physiology.

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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