Simon M. Bryant

2.0k citations
56 papers · 1.7k · h-index 20

Impact in

Papers in

Simon M. Bryant

56 papers receiving 1.6k citations

Peers

Simon M. Bryant
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 1.1k
  • Cellular and Molecular Neuroscience 277
  • Molecular Biology 829
  • Physiology 252
  • Electrochemistry 47
Replace Daniel A. Pasek with:
Daniel A. Pasek United States
Carmen Delgado Spain
Günter Grupp United States
Masaaki Ishii Japan
Yanping Xu China
Zhengfeng Zhou United States
Matthew Perry Australia
K Goshima Japan
Christopher M. Loughrey United Kingdom
M C Berman South Africa
Simon M. Bryant relative to Daniel A. Pasek United States Daniel A. Pasek's profile →
Citations per field
00.5×2.9×
Daniel A. Pasek · 1×
Citations per year

Countries citing papers authored by Simon M. Bryant

Since Specialization
Citations

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

Fields of papers citing papers by Simon M. Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon M. Bryant. 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 Simon M. Bryant. The network helps show where Simon M. Bryant may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003231
2 2002130
3 1998106
4 2000102
5 199790
6 199779
7 199378
8 197765
9 199758
10 201551
11 199950
12 201843
13 200142
14 201440
15 200337
16 200736
17 199735
18 199725
19 201823
20 199922

About Simon M. Bryant

Simon M. Bryant is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology and Physiology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (31 papers), Ion channel regulation and function (25 papers), Neuroscience and Neural Engineering (11 papers), Caveolin-1 and cellular processes (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Receptor Mechanisms and Signaling (4 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.1k citations), Cellular and Molecular Neuroscience (277 citations), Molecular Biology (829 citations), Physiology (252 citations) and Electrochemistry (47 citations). Simon M. Bryant has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include George Hart, Kevin D. Altria, Claire Sears, Barbara Casadei, Euan A. Ashley, Clive H. Orchard, Andrew F. James, Kathy Ryder, Derek A. Terrar and Cherrie H.T. Kong. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Cardiovascular Research, Circulation, Circulation Research and European Heart 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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