Jan Kobal

711 citations
31 papers · 481 · h-index 13

Impact in

Papers in

Jan Kobal

31 papers receiving 467 citations

Peers

Jan Kobal
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 239
  • Neurology 125
  • Parasitology 44
  • Biological Psychiatry 11
  • Neurology 22
Replace Christian Sindic with:
Christian Sindic Belgium
Ioannis Milonas Greece
E. Maida Austria
Michael Happel Germany
Recai Türkoğlu Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Jan Kobal

Since Specialization
Citations

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

Fields of papers citing papers by Jan Kobal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200460
2 200159
3 201352
4 200947
5 200927
6 200322
7 201821
8 201119
9
Cognitive function in early clinical phase huntington disease after rivastigmine treatment.
201418
10 200918
11 201414
12 201813
13 201412
14 201611
15 201511
16 201810
17 20179
18 20138
19 20027
20
Hemochromatosis-causing mutations C282Y and H63D are not risk factors for atherothrombotic cerebral infarction.
20057

About Jan Kobal

Jan Kobal is a scholar working on Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 31 papers that have together received 481 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (18 papers), Neurological disorders and treatments (5 papers), Neural dynamics and brain function (3 papers), Blood groups and transfusion (2 papers), Mitochondrial Function and Pathology (2 papers), Heart Rate Variability and Autonomic Control (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (239 citations), Neurology (125 citations), Parasitology (44 citations), Biological Psychiatry (11 citations) and Neurology (22 citations). Jan Kobal has collaborated with scholars based in Slovenia, United States and United Kingdom. Frequent co-authors include Bernard Meglič, Borut Peterlin, Ksenija Cankar, Simon Podnar, Tomaž Pogačnik, Joško Osredkar, Marjan Zaletel, Luca Lovrečić, Martin Štrucl and Fajko F. Bajrović. Their work appears in journals such as Acta Neurologica Scandinavica, Journal of Neurology, Journal of the Neurological Sciences, Brain Communications and Brain and Language.

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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