Ivan Kocić

602 citations
66 papers · 468 · h-index 13

Impact in

Papers in

Ivan Kocić

60 papers receiving 463 citations

Peers

Ivan Kocić
Comparison fields: 5 of 82
  • Geriatrics and Gerontology 24
  • Microbiology 42
  • Developmental Neuroscience 21
  • Pathology and Forensic Medicine 65
  • Cardiology and Cardiovascular Medicine 79
Replace Emily C. Rothstein with:
Emily C. Rothstein United States
Andrea Wan Canada
Jianguo Cui China
Taylor F. Berryhill United States
Kimio Konno Japan
Amnon Gonenne United States
María E. Elguero Argentina
Ellen Gurzenda United States
Lesya V. Tumanovska Ukraine
Ivan Kocić relative to Emily C. Rothstein United States Emily C. Rothstein's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivan Kocić

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Kocić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201939
2 201633
3 201533
4 201932
5 200129
6 199926
7 201625
8 201421
9 201421
10 202117
11 201916
12 201015
13 199814
14 20209
15 20149
16 20078
17 20057
18
Clevudine University of Georgia/Abbott/Bukwang/Triangle/Yale University.
20007
19 20076
20 20096

About Ivan Kocić

Ivan Kocić is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Physiology, having authored 66 papers that have together received 468 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (17 papers), Cardiac Ischemia and Reperfusion (17 papers), Ion channel regulation and function (11 papers), RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Receptor Mechanisms and Signaling (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers) and Pharmaceutical studies and practices (3 papers). The work is most often cited by research in Geriatrics and Gerontology (24 citations), Microbiology (42 citations), Developmental Neuroscience (21 citations), Pathology and Forensic Medicine (65 citations) and Cardiology and Cardiovascular Medicine (79 citations). Ivan Kocić has collaborated with scholars based in Poland, Japan and Australia. Frequent co-authors include Jarosław Ruczyński, Leszek Pawłowski, Natalia Krzyżaniak, Piotr Rekowski, Rafał Dworakowski, Dorota Dworakowska, Agnieszka Kozłowska, Jacek Petrusewicz, Marcin Gruchała and Wojciech Sobiczewski. Their work appears in journals such as Pharmacological Reports, Pharmacological Research, International Journal of Cardiology, Naunyn-Schmiedeberg s Archives of Pharmacology and Biomedicine & Pharmacotherapy.

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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