J Škrha

6.2k citations
153 papers · 4.2k · 1 hit paper · h-index 32

Impact in

Papers in

J Škrha

147 papers receiving 4.0k citations

J Škrha's Hit Papers

Insulin Resistance and Hyperinsulinemia 2008 · 613 citations
6130+6+12Years since publication200400600

Peers

J Škrha
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Clinical Biochemistry 493
  • Reproductive Medicine 297
  • Nephrology 219
  • Physiology 625
Replace Goji Hasegawa with:
Goji Hasegawa Japan
Nicolas Wiernsperger France
Kristian F. Hanssen Norway
Stefano Menini Italy
Timon W. van Haeften Netherlands
Pierre J. Lefèbvre Belgium
Kaspar Berneis Switzerland
Francesco Andreozzi Italy
Rudolf Prager Austria
Bogusław Okopień Poland
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 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Insulin Resistance and Hyperinsulinemia
Hit paper breakdown →
2008613
2 2002389
3 2019181
4 2005178
5 2002158
6 2008139
7 2004120
8 2016116
9 2020110
10 2014102
11 201698
12 200491
13 200474
14 200564
15 201263
16 201855
17 199948
18 200145
19 201040
20 200739

About J Škrha

J Škrha is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Clinical Biochemistry and Physiology, having authored 153 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Glycation End Products research (19 papers), Diabetes Treatment and Management (17 papers), Diabetes Management and Research (15 papers), Metabolism, Diabetes, and Cancer (13 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Diabetes and associated disorders (10 papers), Pancreatic and Hepatic Oncology Research (10 papers) and Pancreatitis Pathology and Treatment (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Clinical Biochemistry (493 citations), Reproductive Medicine (297 citations), Nephrology (219 citations) and Physiology (625 citations). J Škrha has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Marta Kalousová, Tomáš Zima, Martin Prázný, G Šindelka, Jesse Roth, Yehiel Zick, Yuping Xu, Michael H. Shanik, Rachel Dankner and J Hilgertová. Their work appears in journals such as Physiological Research, Clinica Chimica Acta, Experimental and Clinical Endocrinology & Diabetes, Diabetes Research and Clinical Practice 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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