Steve Reiken

1.3k total citations · 1 hit paper
18 papers, 900 citations indexed

About

Steve Reiken is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Steve Reiken has authored 18 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 11 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Steve Reiken's work include Cardiac electrophysiology and arrhythmias (10 papers), Ion channel regulation and function (7 papers) and Cardiovascular Effects of Exercise (4 papers). Steve Reiken is often cited by papers focused on Cardiac electrophysiology and arrhythmias (10 papers), Ion channel regulation and function (7 papers) and Cardiovascular Effects of Exercise (4 papers). Steve Reiken collaborates with scholars based in United States, France and Germany. Steve Reiken's co-authors include Andrew R. Marks, Xiaoping Liu, Alain Lacampagne, Stéfan Matecki, Lisa Rothman, Marco Mongillo, Andrew M. Bellinger, Haikel Dridi, Leah Sittenfeld and Liu Yang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Steve Reiken

15 papers receiving 885 citations

Hit Papers

Alzheimer's‐like signaling in brains of COVID‐19 patients 2022 2026 2023 2024 2022 40 80 120

Peers

Steve Reiken
Comparison fields: 5 of 80
  • Molecular Biology 567
  • Cardiology and Cardiovascular Medicine 312
  • Cellular and Molecular Neuroscience 194
  • Physiology 184
  • Neurology 121
Replace Kim Ryun Drasbek with:
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Karen Doyle Ireland
Fredrik Lauritzen Norway
Jingyi Chi United States
Jean Marie Launay France
Lidia Yshii Brazil
Steven J. Millership United Kingdom
Yusaku Nakamura Japan
Alexandre Bétourné France
Kim Ryun Drasbek Denmark View profile →
Citations per field, relative to Steve Reiken
Steve Reiken · 1×
Citations per year, relative to Steve Reiken
Steve Reiken · 1×

Countries citing papers authored by Steve Reiken

Since Specialization
Citations

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

Fields of papers citing papers by Steve Reiken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve Reiken

This figure shows the co-authorship network connecting the top 25 collaborators of Steve Reiken. A scholar is included among the top collaborators of Steve Reiken based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steve Reiken. Steve Reiken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 11
5 3
6 1
7 33
8 3
9 37
10
Alzheimer's‐like signaling in brains of COVID‐19 patients breakdown →
133
11 27
12 22
13 31
14 34
15 2
16 125
17 407
18 31

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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