Ivan Tkáč

9.0k citations
93 papers · 5.9k · h-index 43

Impact in

Papers in

Ivan Tkáč

92 papers receiving 5.8k citations

Peers

Ivan Tkáč
Comparison fields: 5 of 137
  • Radiology, Nuclear Medicine and Imaging 2.9k
  • Spectroscopy 1.1k
  • Cellular and Molecular Neuroscience 1.2k
  • Biophysics 323
  • Cognitive Neuroscience 809
Replace Gülin Öz with:
Gülin Öz United States
Jun Shen United States
Toshiro Inubushi Japan
Olli Gröhn Finland
Kieran Clarke United Kingdom
Robert J. Ogg United States
Thomas Michaelis Germany
James W. Prichard United States
Joseph C. LaManna United States
Maria Erecińska United States
Ivan Tkáč relative to Gülin Öz United States Gülin Öz's profile →
Citations per field
00.5×1.5×1.9×
Gülin Öz · 1×
Citations per year

Countries citing papers authored by Ivan Tkáč

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Tkáč

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999422
2 2001327
3 2009318
4 2006238
5 2003210
6 2003203
7 2003195
8 2004166
9 2005157
10 2010157
11 2001154
12 2015153
13 2009151
14 1994137
15 2008130
16 2000128
17 2020124
18 2006108
19 200696
20 201193

About Ivan Tkáč

Ivan Tkáč is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 93 papers that have together received 5.9k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (57 papers), Advanced NMR Techniques and Applications (23 papers), Mitochondrial Function and Pathology (18 papers), Advanced Neuroimaging Techniques and Applications (11 papers), NMR spectroscopy and applications (11 papers), Neuroscience and Neuropharmacology Research (10 papers), Neonatal and fetal brain pathology (10 papers) and Functional Brain Connectivity Studies (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.9k citations), Spectroscopy (1.1k citations), Cellular and Molecular Neuroscience (1.2k citations), Biophysics (323 citations) and Cognitive Neuroscience (809 citations). Ivan Tkáč has collaborated with scholars based in United States, Switzerland and Slovakia. Frequent co-authors include Rolf Gruetter, Kǎmil Uǧurbil, Gülin Öz, Raghavendra Rao, Josef Pfeuffer, Michael Georgieff, Gregor Adriany, Silvia Mangia, Stephen W. Provencher and Pierre‐Gilles Henry. Their work appears in journals such as Magnetic Resonance in Medicine, NMR in Biomedicine, Journal of Cerebral Blood Flow & Metabolism, Journal of Neurochemistry and Journal of Nutrition.

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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