Š Svačina

2.4k citations
93 papers · 1.6k indexed · h-index 20

Impact in

Papers in

Š Svačina

81 papers receiving 1.6k citations

Peers

Š Svačina
Comparison fields: 5 of 112
  • Endocrinology, Diabetes and Metabolism 826
  • Cardiology and Cardiovascular Medicine 330
  • Surgery 571
  • Physiology 330
  • Genetics 257
Replace Donald A. Bergman with:
Donald A. Bergman United States
Haoyong Yu China
V. Cacciatori Italy
Seok Won Park South Korea
Maddalena Trombetta Italy
Elena Succurro Italy
M. Cecilia Lansang United States
Hillary A. Keenan United States
Stephen J. Cleland United Kingdom
Lorenza Santi Italy
Š Svačina relative to Donald A. Bergman United States Donald A. Bergman's profile →
Citations per field
00.5×1.7×
Donald A. Bergman · 1×
Citations per year

Countries citing papers authored by Š Svačina

Since Specialization
Citations

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

Fields of papers citing papers by Š Svačina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20227
3 20209
4 20200
5
[Potential sources of phthalates and bisphenol A and their significance in the development of metabolic diseases].
20172
6 201628
7 20146
8 20148
9 201410
10 20148
11 2010125
12 200923
13 20091
14 20095
15
Léčba obezity u metabolického syndromu
20050
16 200421
17 19949
18 199011
19 199025
20 19894

About Š Svačina

Š Svačina is a scholar working on Endocrinology, Diabetes and Metabolism, Health Information Management, Physiology, Medical Laboratory Technology and Pharmacology, having authored 93 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diet and metabolism studies (14 papers), Diabetes Management and Research (13 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (13 papers), Diabetes Treatment and Management (10 papers), Pharmacology and Obesity Treatment (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Adipose Tissue and Metabolism (7 papers) and Cardiovascular Disease and Adiposity (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (826 citations), Cardiology and Cardiovascular Medicine (330 citations), Surgery (571 citations), Physiology (330 citations) and Genetics (257 citations). Š Svačina has collaborated with scholars based in Czechia, United States and Austria. Frequent co-authors include Martin Haluzı́k, J Bláha, Martin Matoulek, J Škrha, Jaromír Kremen, Roman Hovorka, Martin Prázný, Z Lacinová, Kateřina Anderlová and D Haluzíková. Their work appears in journals such as Physiological Research, The Journal of Clinical Endocrinology & Metabolism, Diabetes Care, Computer Methods and Programs in Biomedicine and Obesity Surgery.

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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