Ján Trnka

2.2k citations
61 papers · 1.5k · h-index 19

Impact in

Papers in

    • Mitochondrial Function and Pathology 10
    • Coenzyme Q10 studies and effects 5
    • ATP Synthase and ATPases Research 4
    • Metabolomics and Mass Spectrometry Studies 3

Ján Trnka

54 papers receiving 1.5k citations

Peers

Ján Trnka
Comparison fields: 5 of 130
  • Biochemistry 101
  • Physiology 285
  • Clinical Biochemistry 73
  • Molecular Biology 657
  • Critical Care and Intensive Care Medicine 36
Replace Valentina A. Babenko with:
Valentina A. Babenko Russia
Koichi Uemura Japan
Cecilia Vecoli Italy
Michael Janes United States
Hae‐Young Sohn Germany
Frank Gaunitz Germany
Annie Eis United States
Cristóbal Donapetry‐García Spain
Gillian Hughes New Zealand
Yukio Hara Japan
Ján Trnka relative to Valentina A. Babenko Russia Valentina A. Babenko's profile →
Citations per field
00.5×
Valentina A. Babenko · 1×
Citations per year

Countries citing papers authored by Ján Trnka

Since Specialization
Citations

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

Fields of papers citing papers by Ján Trnka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008215
2 2015133
3 2016117
4 2007114
5 2008113
6 200893
7 202060
8 201551
9 201551
10 201348
11 201439
12 202232
13 201929
14 201628
15 200924
16 202024
17 202222
18 201421
19 202219
20 201317

About Ján Trnka

Ján Trnka is a scholar working on Molecular Biology, Surgery, Physiology, Cancer Research and Infectious Diseases, having authored 61 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), Adipose Tissue and Metabolism (5 papers), Coenzyme Q10 studies and effects (5 papers), Cancer, Hypoxia, and Metabolism (5 papers), ATP Synthase and ATPases Research (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (3 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). The work is most often cited by research in Biochemistry (101 citations), Physiology (285 citations), Clinical Biochemistry (73 citations), Molecular Biology (657 citations) and Critical Care and Intensive Care Medicine (36 citations). Ján Trnka has collaborated with scholars based in Czechia, United Kingdom and Slovakia. Frequent co-authors include Michal Anděl, Michael P. Murphy, Robin A.J. Smith, Frances H. Blaikie, Moustafa Elkalaf, Jana Tůmová, Angela Logan, Andrew M. James, Carolyn M. Porteous and Meredith F. Ross. Their work appears in journals such as PLoS ONE, Physiological Research, Free Radical Biology and Medicine, European Journal of Clinical Nutrition and Journal of Parenteral and Enteral 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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