Tai Akera

5.5k citations
194 papers · 4.5k · h-index 34

Impact in

Papers in

Tai Akera

193 papers receiving 4.1k citations

Peers

Tai Akera
Comparison fields: 5 of 122
  • Cardiology and Cardiovascular Medicine 1.3k
  • Cellular and Molecular Neuroscience 900
  • Molecular Biology 2.7k
  • Physiology 551
  • Pathology and Forensic Medicine 341
Replace A. Fleckenstein with:
A. Fleckenstein Germany
Théophile Godfraind Belgium
Henry R. Besch United States
Hasso Scholz Germany
Samuel P. Bessman United States
Amir Askari United States
Cecilia Hidalgo Chile
D. Ashton United Kingdom
Norimoto URAKAWA Japan
Michael J. Shattock United Kingdom
Tai Akera relative to A. Fleckenstein Germany A. Fleckenstein's profile →
Citations per field
00.5×1.5×
A. Fleckenstein · 1×
Citations per year

Countries citing papers authored by Tai Akera

Since Specialization
Citations

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

Fields of papers citing papers by Tai Akera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1977269
2 1987152
3 1978139
4 1968129
5 1977125
6 1969123
7 1977114
8 1976113
9 1991102
10
Correlation of cardiac sodium- and potassium-activated adenosine triphosphatase activity with ouabain-induced inotropic stimulation.
197091
11 197190
12 197884
13 197379
14 199078
15 197472
16 197361
17 198654
18 197150
19 199146
20 198245

About Tai Akera

Tai Akera is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Physiology, having authored 194 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (67 papers), Ion channel regulation and function (56 papers), Ion Transport and Channel Regulation (40 papers), ATP Synthase and ATPases Research (19 papers), Cardiac Ischemia and Reperfusion (15 papers), Receptor Mechanisms and Signaling (13 papers), Neuroscience and Neural Engineering (13 papers) and Electrochemical Analysis and Applications (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Cellular and Molecular Neuroscience (900 citations), Molecular Biology (2.7k citations), Physiology (551 citations) and Pathology and Forensic Medicine (341 citations). Tai Akera has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Theodore M. Brody, Thomas Brody, Ming Huey Lin, Thomas Tobin, Kyosuke Temma, Min Soo Kim, David D. Ku, Yuk-Chow Ng, Brody Tm and Paul M. Stemmer. Their work appears in journals such as European Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Molecular Pharmacology, Biochimica et Biophysica Acta (BBA) - Biomembranes and Life 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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