Mahmut Akyol

1.0k citations
11 papers · 350 · h-index 5

Impact in

Papers in

Mahmut Akyol

10 papers receiving 337 citations

Peers

Mahmut Akyol
Comparison fields: 5 of 57
  • Endocrine and Autonomic Systems 74
  • Cardiology and Cardiovascular Medicine 181
  • Experimental and Cognitive Psychology 60
  • Cognitive Neuroscience 44
  • Aging 4
Replace Thomas G. Brooks with:
Thomas G. Brooks United States
Elizabeth H. Choy United States
Liisa Tomppo Finland
Μαρία Γώγου Greece
Lauren Pickel Canada
Jiaquan Liang China
Juan Shu United States
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Carlos A. A. Silva Brazil
Xianjun Zeng China
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Citations per field
00.5×10×12.9×
Thomas G. Brooks · 1×
Citations per year

Countries citing papers authored by Mahmut Akyol

Since Specialization
Citations

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

Fields of papers citing papers by Mahmut Akyol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2005114
2 2010113
3 200879
4 200724
5 20159
6 20133
7
MEFV gene variation R202Q is associated with metabolic syndrome.
20162
8 20132
9 20122
10 20061
11 20071

About Mahmut Akyol

Mahmut Akyol is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Pediatrics, Perinatology and Child Health and Ophthalmology, having authored 11 papers that have together received 350 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (3 papers), Neonatal Respiratory Health Research (2 papers), Neonatal Health and Biochemistry (1 paper), Retinal Diseases and Treatments (1 paper), Ion Transport and Channel Regulation (1 paper), Gene expression and cancer classification (1 paper), Ion channel regulation and function (1 paper) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (74 citations), Cardiology and Cardiovascular Medicine (181 citations), Experimental and Cognitive Psychology (60 citations), Cognitive Neuroscience (44 citations) and Aging (4 citations). Mahmut Akyol has collaborated with scholars based in Germany, Türkiye and United States. Frequent co-authors include Thomas Meitinger, Arne Pfeufer, Siegfried Perz, Michael Näbauer, Martin Hinterseer, Stefan Kääb, Thomas Illig, Hans Wichmann, Gerhard Steinbeck and Bertram Müller-Myhsok. Their work appears in journals such as European Heart Journal, Biological Psychiatry, Contact Lens and Anterior Eye, The Journal of Maternal-Fetal & Neonatal Medicine and Circulation Research.

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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