T. Soukup

102 papers receiving 1.5k citations

Peers

T. Soukup
Comparison fields: 5 of 112
  • Cardiology and Cardiovascular Medicine 320
  • Cell Biology 229
  • Cellular and Molecular Neuroscience 242
  • Molecular Biology 784
  • Endocrinology, Diabetes and Metabolism 169
Replace Virginia Barone with:
Virginia Barone Italy
J. R. Muddle United Kingdom
Yoshihiro Wakayama Japan
Richard A. Zuellig Switzerland
Nobuyuki Murakami Japan
Abdelkrim Hmadcha Spain
Marcelo Ezquer Chile
David M. Keller United States
Henri Bernardi France
Charlotte J. Sumner United States
T. Soukup relative to Virginia Barone Italy Virginia Barone's profile →
Citations per field
00.5×1.5×
Virginia Barone · 1×
Citations per year

Countries citing papers authored by T. Soukup

Since Specialization
Citations

This map shows the geographic impact of T. Soukup'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 T. Soukup with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Soukup more than expected).

Fields of papers citing papers by T. Soukup

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002101
2 197479
3 200965
4 197361
5 198858
6 199045
7 200937
8 197937
9 200136
10 199135
11 200434
12 201132
13 200032
14 199132
15 199030
16 201029
17 200829
18 198126
19 199126
20 198324

About T. Soukup

T. Soukup is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 106 papers that have together received 1.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (32 papers), Ion channel regulation and function (17 papers), Cardiomyopathy and Myosin Studies (14 papers), Thyroid Disorders and Treatments (10 papers), Genetic Neurodegenerative Diseases (9 papers), Biotin and Related Studies (7 papers), Adipose Tissue and Metabolism (5 papers) and Rheumatoid Arthritis Research and Therapies (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (320 citations), Cell Biology (229 citations), Cellular and Molecular Neuroscience (242 citations), Molecular Biology (784 citations) and Endocrinology, Diabetes and Metabolism (169 citations). T. Soukup has collaborated with scholars based in Czechia, Slovakia and Germany. Frequent co-authors include Gisela Zachařová, Ji ina Zelen�, Lars‐Eric Thornell, Vika Smerdu, I Jirmanová, Narcis Tribulová, G Asmussen, Vladimír Knezl, Jitka Žurmanová and Jiřı́ Vlček. Their work appears in journals such as Physiological Research, Histochemistry and Cell Biology, Hormone and Metabolic Research, Annals of the Rheumatic Diseases and Acta Neuropathologica.

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.

Explore authors with similar magnitude of impact