Stefan Jovinge

11.9k citations
94 papers · 8.2k indexed · 3 hit papers · h-index 37

Impact in

Papers in

Stefan Jovinge

90 papers receiving 8.1k citations

Hit Papers

Dynamics of Cell Generation and Turnover in the Human Heart 2015 · 794 citations
794200420262011201850010001.5k2.0k

Peers

Stefan Jovinge
Comparison fields: 5 of 142
  • Cardiology and Cardiovascular Medicine 2.2k
  • Genetics 714
  • Surgery 2.8k
  • Molecular Biology 4.0k
  • Immunology 1.1k
Replace Hiroshi Akazawa with:
Hiroshi Akazawa Japan
Mark A. Sussman United States
Mansoor Husain Canada
Yong‐Jian Geng United States
Jean‐Baptiste Michel France
Ichiro Shiojima Japan
Raj Kishore United States
Gangjian Qin United States
Yuichi Oike Japan
Jane‐Lise Samuel France
Stefan Jovinge relative to Hiroshi Akazawa Japan Hiroshi Akazawa's profile →
Citations per field
00.5×1.5×2.2×
Hiroshi Akazawa · 1×
Citations per year

Countries citing papers authored by Stefan Jovinge

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Jovinge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20259
3 20212
4 202145
5 202110
6 20200
7 20201
8 201914
9 20193
10 201823
11 201819
12 20166
13 201432
14 201241
15 2009159
16 20092
17
Turnover of Human Cardiomyocytes
20081
18 20087
19 200616
20 200559

About Stefan Jovinge

Stefan Jovinge is a scholar working on Cardiology and Cardiovascular Medicine, Health Informatics, Structural Biology, Nephrology and Cancer Research, having authored 94 papers that have together received 8.2k indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (17 papers), Congenital heart defects research (12 papers), Pluripotent Stem Cells Research (12 papers), Cardiac Structural Anomalies and Repair (10 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Protease and Inhibitor Mechanisms (9 papers), Heart Failure Treatment and Management (8 papers) and Acute Myocardial Infarction Research (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.2k citations), Genetics (714 citations), Surgery (2.8k citations), Molecular Biology (4.0k citations) and Immunology (1.1k citations). Stefan Jovinge has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Olaf Bergmann, Stuart Walsh, Jonas Frisén, Samuel Bernard, Sofia Zdunek, Kanar Alkass, Henrik Druid, Bruce A. Buchholz, Fanie Barnabé‐Heider and Ratan D. Bhardwaj. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, The Journal of Heart and Lung Transplantation, Circulation, Journal of Cardiovascular Magnetic Resonance and Circulation 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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