Peter Sabaka

728 citations
40 papers · 367 · h-index 11

Impact in

Papers in

Peter Sabaka

36 papers receiving 355 citations

Peers

Peter Sabaka
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 109
  • Infectious Diseases 82
  • Endocrinology, Diabetes and Metabolism 53
  • Physiology 76
  • Neurology 44
Replace Emmanouil Korakas with:
Emmanouil Korakas Greece
Konstantinos Balampanis Greece
Kauser Usman India
Zihui Tang China
Wen-Ting Yeh Taiwan
Celal Ulaşoğlu Türkiye
Renying Xu China
Günter J. Krejs Austria
Gabriele Brosolo Italy
Andrej Belančić Croatia
Peter Sabaka relative to Emmanouil Korakas Greece Emmanouil Korakas's profile →
Citations per field
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Emmanouil Korakas · 1×
Citations per year

Countries citing papers authored by Peter Sabaka

Since Specialization
Citations

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

Fields of papers citing papers by Peter Sabaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202183
2 201734
3 201531
4 201526
5 201721
6 201319
7 201516
8 201416
9 201915
10 201513
11 201510
12 20208
13 20197
14 20237
15 20217
16 20206
17 20165
18
Effect of hyperbaric oxygen on lipoprotein subfractions in diabetic patients.
20154
19 20244
20
Changes in vasomotion--effect of hyperbaric oxygen in patients with diabetes Type 2.
20164

About Peter Sabaka

Peter Sabaka is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 40 papers that have together received 367 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (5 papers), Heart Rate Variability and Autonomic Control (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Cancer, Lipids, and Metabolism (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (109 citations), Infectious Diseases (82 citations), Endocrinology, Diabetes and Metabolism (53 citations), Physiology (76 citations) and Neurology (44 citations). Peter Sabaka has collaborated with scholars based in Slovakia, Czechia and Spain. Frequent co-authors include Andrej Dukát, Peter Kružliak, Ľudovít Gašpar, Martin Čaprnda, Július Hodosy, Luı́s Rodrigo, Stanislav Oravec, Daniel Petrovič, Anthony Zulli and Fedor Šimko. Their work appears in journals such as BMC Infectious Diseases, Lipids in Health and Disease, Physiological Research, Journal of Diabetes and its Complications and Frontiers in Medicine.

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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