Tai Akera

5.5k citations
192 papers · 4.5k indexed · h-index 34

Tai Akera

191 papers receiving 4.1k citations

Peers

Tai Akera
Comparison fields: 5 of 122
  • Cardiology and Cardiovascular Medicine 1.3k
  • Cellular and Molecular Neuroscience 913
  • Molecular Biology 2.7k
  • Physiology 572
  • Electrochemistry 124
Replace A. Fleckenstein with:
A. Fleckenstein Germany
Théophile Godfraind Belgium
Hasso Scholz Germany
Samuel P. Bessman United States
Cecilia Hidalgo Chile
Michael J. Shattock United Kingdom
Norimoto URAKAWA Japan
Robert Ruffolo United States
D. Ashton United Kingdom
Amir Askari United States
Tai Akera relative to A. Fleckenstein Germany A. Fleckenstein's profile →
Citations per field
00.5×1.5×1.8×
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-authorship network

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
#Work
1 200317
2 20009
3
Doxorubicin-induced late cardiotoxicity : relation to impairment of SR Ca^ release.
19981
4 199716
5 199613
6 199216
7 199141
8 19917
9 19912
10 19884
11 19863
12 19837
13 198016
14 197912
15 197842
16 197632
17 197617
18 197533
19 197324
20 196824

About Tai Akera

Tai Akera is a scholar working on Cardiology and Cardiovascular Medicine, Electrochemistry, Cellular and Molecular Neuroscience, Molecular Biology and Bioengineering, having authored 192 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), Electrochemical Analysis and Applications (13 papers), Receptor Mechanisms and Signaling (13 papers) and Neuroscience and Neural Engineering (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Cellular and Molecular Neuroscience (913 citations), Molecular Biology (2.7k citations), Physiology (572 citations) and Electrochemistry (124 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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