Göran Matejka

1.6k citations
36 papers · 1.2k · h-index 18

Impact in

Papers in

Göran Matejka

36 papers receiving 1.2k citations

Peers

Göran Matejka
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 372
  • Endocrinology, Diabetes and Metabolism 222
  • Nephrology 47
  • Radiology, Nuclear Medicine and Imaging 148
  • Surgery 266
Replace Arturo Giordano with:
Arturo Giordano Italy
Michael Fritzenwanger Germany
Alan Bagnall United Kingdom
Manuel Gómez‐Bueno Spain
Hiroshi Funayama Japan
Mario Kašner Germany
François Tronc France
Tomohiro Nakamura Japan
Francesco Loperfido Italy
Kenichi Matsushita Japan
Göran Matejka relative to Arturo Giordano Italy Arturo Giordano's profile →
Citations per field
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Citations per year

Countries citing papers authored by Göran Matejka

Since Specialization
Citations

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

Fields of papers citing papers by Göran Matejka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012221
2 1993108
3 2014101
4 199987
5 199270
6 199666
7 201565
8 201264
9 200050
10 201345
11 201744
12 201134
13 199831
14 199226
15 199226
16 201022
17 199722
18 200019
19 201016
20
Expression of Epstein-Barr nuclear antigen 2 in kidney tubule cells induce tumors in transgenic mice.
199616

About Göran Matejka

Göran Matejka is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Pediatrics, Perinatology and Child Health, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (9 papers), Birth, Development, and Health (6 papers), Acute Myocardial Infarction Research (5 papers), Renal and related cancers (4 papers), Liver physiology and pathology (2 papers), Coronary Interventions and Diagnostics (2 papers), Mechanical Circulatory Support Devices (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (372 citations), Endocrinology, Diabetes and Metabolism (222 citations), Nephrology (47 citations), Radiology, Nuclear Medicine and Imaging (148 citations) and Surgery (266 citations). Göran Matejka has collaborated with scholars based in Sweden, France and Netherlands. Frequent co-authors include Eva Jennische, Per Albertsson, Elmir Ömerovic, Truls Råmunddal, Oskar Angerås, S. Ekberg, Kristjan Karason, Stefan James, Annika Rosengren and Bo Lagerqvist. Their work appears in journals such as International Journal of Cardiology, European Heart Journal, Clinical Cardiology, Hormone and Metabolic Research and Growth Hormone & IGF Research.

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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