J Škrha

6.1k citations
151 papers · 4.0k · 1 hit paper · h-index 31

Impact in

Papers in

J Škrha

146 papers receiving 3.8k citations

J Škrha's Hit Papers

Insulin Resistance and Hyperinsulinemia 2008 · 589 citations
5890+6+12Years since publication100200300400500

Peers

J Škrha
Comparison fields: 5 of 135
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Clinical Biochemistry 549
  • Reproductive Medicine 306
  • Nephrology 251
  • Physiology 756
Replace Goji Hasegawa with:
Goji Hasegawa Japan
Nicolas Wiernsperger France
Jerzy–Roch Nofer Germany
Stefano Menini Italy
Timon W. van Haeften Netherlands
Marleen M. J. van Greevenbroek Netherlands
Francesco Andreozzi Italy
Rudolf Prager Austria
Dorothy McMaster United Kingdom
Kaspar Berneis Switzerland
J Škrha relative to Goji Hasegawa Japan Goji Hasegawa's profile →
Citations per field
00.5×1.5×
Goji Hasegawa · 1×
Citations per year

Countries citing papers authored by J Škrha

Since Specialization
Citations

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

Fields of papers citing papers by J Škrha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Insulin Resistance and Hyperinsulinemia
Hit paper breakdown →
2008589
2 2002378
3 2005173
4 2019169
5 2002150
6 2008131
7 2016111
8 2004110
9 2020104
10 201497
11 201694
12 200487
13 200465
14 201263
15 200556
16 201854
17 199945
18 200144
19 201040
20 199738

About J Škrha

J Škrha is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology, having authored 151 papers that have together received 4.0k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (21 papers), Advanced Glycation End Products research (20 papers), Diabetes Management and Research (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Metabolism, Diabetes, and Cancer (15 papers), Diabetes and associated disorders (14 papers), Pancreatic function and diabetes (11 papers) and Pancreatic and Hepatic Oncology Research (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Clinical Biochemistry (549 citations), Reproductive Medicine (306 citations), Nephrology (251 citations) and Physiology (756 citations). J Škrha has collaborated with scholars based in Czechia, United States and Russia. Frequent co-authors include Marta Kalousová, Tomáš Zima, Martin Prázný, G Šindelka, Yehiel Zick, Rachel Dankner, Yuping Xu, Jesse Roth, Michael H. Shanik and Jan Šoupal. Their work appears in journals such as Physiological Research, Clinica Chimica Acta, Diabetes Research and Clinical Practice, Experimental and Clinical Endocrinology & Diabetes and European Journal of Gastroenterology & Hepatology.

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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