Jernej Kovač

1.8k citations
76 papers · 965 · h-index 19

Impact in

Papers in

    • Mitochondrial Function and Pathology 5
    • Lipoproteins and Cardiovascular Health 9
    • Pancreatic function and diabetes 4

Jernej Kovač

72 papers receiving 945 citations

Peers

Jernej Kovač
Comparison fields: 5 of 98
  • Clinical Biochemistry 149
  • Endocrinology, Diabetes and Metabolism 171
  • Cancer Research 138
  • Genetics 228
  • Surgery 264
Replace Katarina Trebušak Podkrajšek with:
Katarina Trebušak Podkrajšek Slovenia
Mouna Mnif Tunisia
Richard Pang China
Maruša Debeljak Slovenia
Christine Burren United Kingdom
Masataka Adachi Japan
Maria Aminoff Finland
Adrienne H. Williams United States
Kengo Moriyama Japan
Rachel Goldberg United States
Jernej Kovač relative to Katarina Trebušak Podkrajšek Slovenia Katarina Trebušak Podkrajšek's profile →
Citations per field
00.5×1.5×
Katarina Trebušak Podkrajšek · 1×
Citations per year

Countries citing papers authored by Jernej Kovač

Since Specialization
Citations

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

Fields of papers citing papers by Jernej Kovač

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015101
2 201870
3 202153
4 202250
5 201748
6 201741
7 201438
8 202036
9 201235
10 202029
11 201226
12 202026
13 202125
14 202223
15 201323
16 201722
17 201521
18 202021
19 202219
20 202216

About Jernej Kovač

Jernej Kovač is a scholar working on Molecular Biology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Physiology, having authored 76 papers that have together received 965 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (9 papers), Lipoproteins and Cardiovascular Health (9 papers), Diet and metabolism studies (8 papers), Diabetes and associated disorders (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Mitochondrial Function and Pathology (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Clinical Biochemistry (149 citations), Endocrinology, Diabetes and Metabolism (171 citations), Cancer Research (138 citations), Genetics (228 citations) and Surgery (264 citations). Jernej Kovač has collaborated with scholars based in Slovenia, United States and Germany. Frequent co-authors include Tadej Battelino, Katarina Trebušak Podkrajšek, Urh Grošelj, Tine Tesovnik, Maruša Debeljak, Nataša Bratina, Mojca Žerjav Tanšek, Barbka Repič Lampret, Barbara Jenko Bizjan and Tinka Hovnik. Their work appears in journals such as Genes, Frontiers in Genetics, Atherosclerosis, Frontiers in Endocrinology and Scientific Reports.

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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