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 90
  • Cardiology and Cardiovascular Medicine 537
  • Endocrinology, Diabetes and Metabolism 242
  • Internal Medicine 43
  • Radiology, Nuclear Medicine and Imaging 255
  • Surgery 391
Replace Hüseyin Arınç with:
Hüseyin Arınç Türkiye
Toshiyuki Nagai Japan
Arturo Giordano Italy
Kürşat Tigen Türkiye
Michael Fritzenwanger Germany
Ivan Aleksić Germany
Alan Bagnall United Kingdom
Hiroshi Funayama Japan
Dennis V. Cokkinos Greece
Roberto Badagliacca Italy
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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 2012217
2 1993108
3 2014100
4 199987
5 199270
6 199666
7 201264
8 201563
9 200049
10 201345
11 201743
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 Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology 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), Acute Myocardial Infarction Research (9 papers), Birth, Development, and Health (6 papers), Coronary Interventions and Diagnostics (5 papers), Cardiac Imaging and Diagnostics (4 papers), Renal and related cancers (4 papers), Mechanical Circulatory Support Devices (3 papers) and Venous Thromboembolism Diagnosis and Management (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (537 citations), Endocrinology, Diabetes and Metabolism (242 citations), Internal Medicine (43 citations), Radiology, Nuclear Medicine and Imaging (255 citations) and Surgery (391 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, Bo Lagerqvist, Stefan James and Annika Rosengren. Their work appears in journals such as International Journal of Cardiology, Clinical Cardiology, European Heart Journal, Growth Hormone & IGF Research and Hormone and Metabolic 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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