Jan Hrabě

2.0k citations
56 papers · 1.6k · h-index 23

Impact in

Papers in

    • Advanced MRI Techniques and Applications 19
    • Advanced Neuroimaging Techniques and Applications 19
    • Polysaccharides Composition and Applications 6
    • Proteins in Food Systems 5
    • Probiotics and Fermented Foods 5

Jan Hrabě

56 papers receiving 1.5k citations

Peers

Jan Hrabě
Comparison fields: 5 of 130
  • Radiology, Nuclear Medicine and Imaging 522
  • Cognitive Neuroscience 363
  • Cellular and Molecular Neuroscience 329
  • Food Science 242
  • Neurology 100
Replace David C. Harrison with:
David C. Harrison United Kingdom
Stephan Seiler Germany
Jianmin Cui United States
Yasuyuki Takahashi Japan
Mauricio A. Retamal Chile
Kurt G. Schilling United States
J.-M. Bonny France
Yumiko Watanabe Japan
Francesco Osculati Italy
François Molino France
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Citations per field
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Citations per year

Countries citing papers authored by Jan Hrabě

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hrabě

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014115
2 2004113
3 2000108
4 2006103
5 200688
6 200383
7 200868
8 200862
9 200759
10 200753
11 199553
12 200848
13 200543
14 201341
15 199437
16 200337
17 200737
18 201532
19 200430
20 200827

About Jan Hrabě

Jan Hrabě is a scholar working on Radiology, Nuclear Medicine and Imaging, Food Science, Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (19 papers), Advanced Neuroimaging Techniques and Applications (19 papers), Functional Brain Connectivity Studies (7 papers), Polysaccharides Composition and Applications (6 papers), Food composition and properties (6 papers), Proteins in Food Systems (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Probiotics and Fermented Foods (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (522 citations), Cognitive Neuroscience (363 citations), Cellular and Molecular Neuroscience (329 citations), Food Science (242 citations) and Neurology (100 citations). Jan Hrabě has collaborated with scholars based in United States, Czechia and Slovakia. Frequent co-authors include Sabina Hrabětová, Charles Nicholson, Karel Segeth, František Buňka, David N. Guilfoyle, Fanrong Xiao, Matthew J. Hoptman, Kelvin O. Lim, Babak A. Ardekani and George S. Alexopoulos. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Biophysical Journal, Journal of Molecular Neuroscience, American Journal of Geriatric Psychiatry and Journal of Neuroscience.

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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