Gottfried Greve

1.6k total citations
76 papers, 1.1k citations indexed

About

Gottfried Greve is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gottfried Greve has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cardiology and Cardiovascular Medicine, 34 papers in Epidemiology and 15 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gottfried Greve's work include Congenital Heart Disease Studies (27 papers), Cardiovascular Function and Risk Factors (15 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Gottfried Greve is often cited by papers focused on Congenital Heart Disease Studies (27 papers), Cardiovascular Function and Risk Factors (15 papers) and Cardiac electrophysiology and arrhythmias (9 papers). Gottfried Greve collaborates with scholars based in Norway, United Kingdom and United States. Gottfried Greve's co-authors include Elisabeth Leirgul, Nina Øyen, Kristoffer Brodwall, Dan J. Stein, Grethe S. Tell, Henrik Holmstrøm, Tatiana Fomina, Ludwig Thierfelder, Hiromitsu Tanaka and William J. McKenna and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Gottfried Greve

68 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gottfried Greve Norway 17 579 396 332 161 143 76 1.1k
Donna A. Goff United States 16 243 0.4× 498 1.3× 123 0.4× 248 1.5× 318 2.2× 29 949
Judith Geva United States 6 338 0.6× 551 1.4× 229 0.7× 239 1.5× 305 2.1× 8 966
Kenneth Chan United Kingdom 19 381 0.7× 88 0.2× 200 0.6× 259 1.6× 119 0.8× 74 1.1k
Aytekin Alçelik Türkiye 17 226 0.4× 264 0.7× 87 0.3× 143 0.9× 64 0.4× 55 882
Jean‐Claude Veille United States 15 342 0.6× 308 0.8× 49 0.1× 267 1.7× 203 1.4× 37 972
Ewa Żekanowska Poland 17 94 0.2× 177 0.4× 209 0.6× 54 0.3× 94 0.7× 86 1.0k
Alexander Taylor United States 14 116 0.2× 88 0.2× 108 0.3× 241 1.5× 94 0.7× 32 1.0k
Mark J. Morton United States 13 386 0.7× 114 0.3× 31 0.1× 135 0.8× 153 1.1× 17 741
Luca Marozio Italy 25 256 0.4× 126 0.3× 154 0.5× 97 0.6× 117 0.8× 78 1.8k
William T. Smith United States 16 318 0.5× 50 0.1× 147 0.4× 111 0.7× 94 0.7× 39 755

Countries citing papers authored by Gottfried Greve

Since Specialization
Citations

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

Fields of papers citing papers by Gottfried Greve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gottfried Greve

This figure shows the co-authorship network connecting the top 25 collaborators of Gottfried Greve. A scholar is included among the top collaborators of Gottfried Greve based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gottfried Greve. Gottfried Greve is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Andersen, John Roger, et al.. (2025). Paediatric Patients With Multiple Referrals and Complex Health Complaints Experienced Notable Functional Impairment. Acta Paediatrica. 115(1). 107–116.
2.
Fomina, Tatiana, et al.. (2025). Labor onset and delivery mode in women with congenital heart disease—A nationwide cohort study. Acta Obstetricia Et Gynecologica Scandinavica. 104(4). 666–675.
3.
Khan, Umraz, et al.. (2021). Speckle tracking derived strain in neonates: planes, layers and drift. International journal of cardiac imaging. 37(7). 2111–2123. 5 indexed citations
4.
Khan, Umraz, et al.. (2021). Effect of Temporal and Spatial Smoothing on Speckle–Tracking-Derived Strain in Neonates. Pediatric Cardiology. 42(4). 743–752. 4 indexed citations
5.
Brodwall, Kristoffer, Gottfried Greve, Elisabeth Leirgul, et al.. (2018). The five‐year survival of children with Down syndrome in Norway 1994–2009 differed by associated congenital heart defects and extracardiac malformations. Acta Paediatrica. 107(5). 845–853. 23 indexed citations
6.
Brodwall, Kristoffer, Gottfried Greve, Elisabeth Leirgul, et al.. (2017). Recurrence of congenital heart defects among siblings—a nationwide study. American Journal of Medical Genetics Part A. 173(6). 1575–1585. 23 indexed citations
7.
Reigstad, Hallvard, Synnøve Lian Johnsen, Maria Vollsæter, et al.. (2017). Mid-childhood outcomes after pre-viable preterm premature rupture of membranes. Journal of Perinatology. 37(9). 1053–1059. 6 indexed citations
8.
Leirgul, Elisabeth, Kristoffer Brodwall, Gottfried Greve, et al.. (2016). Maternal Diabetes, Birth Weight, and Neonatal Risk of Congenital Heart Defects in Norway, 1994–2009. Obstetrics and Gynecology. 128(5). 1116–1125. 49 indexed citations
9.
10.
11.
Solberg, Berge, et al.. (2009). Genetisk veiledning ved medfødt lang QT-syndrom. Tidsskrift for Den norske legeforening. 129(12). 1226–1229. 3 indexed citations
12.
Berge, Knut Erik, Kristina H. Haugaa, Andreas Früh, et al.. (2008). Molecular genetic analysis of long QT syndrome in Norway indicating a high prevalence of heterozygous mutation carriers. Scandinavian Journal of Clinical and Laboratory Investigation. 68(5). 362–368. 56 indexed citations
13.
Hoff, Per Ivar, et al.. (2006). Risikofaktor for brå hjertedød ved lang QT-syndrom. Tidsskrift for Den Norske Laegeforening. 1 indexed citations
14.
Greve, Gottfried, et al.. (2005). Vurdering av barn med hjertebilyder. Tidsskrift for Den Norske Laegeforening.
15.
Hirth, Asle, et al.. (2003). Kateterbasert lukking av åpentstående foramen ovale hos unge slagpasienter. Tidsskrift for Den Norske Laegeforening. 2 indexed citations
16.
Gray, Rosaire, Gottfried Greve, Ruoli Chen, et al.. (2003). Right Ventricular Myocardial Responses to Chronic Pulmonary Regurgitation in Lambs: Disturbances of Activation and Conduction. Pediatric Research. 54(4). 529–535. 15 indexed citations
17.
Abchee, Antoine, et al.. (1995). 901–88 Rapid Genetic Screen for Common β-Myosin Heavy Chain Mutations Causing Familial Hypertrophic Cardiomyopathy. Journal of the American College of Cardiology. 25(2). 26A–26A. 4 indexed citations
18.
Anan, Ryuichiro, Gottfried Greve, Ludwig Thierfelder, et al.. (1994). Prognostic implications of novel beta cardiac myosin heavy chain gene mutations that cause familial hypertrophic cardiomyopathy.. Journal of Clinical Investigation. 93(1). 280–285. 196 indexed citations
19.
Rotevatn, Svein, et al.. (1990). Tissue protection by verapamil in the calcium paradox. Scandinavian Journal of Clinical and Laboratory Investigation. 50(6). 595–604. 1 indexed citations
20.
Greve, Gottfried, Svein Rotevatn, Ketil Grong, & Lodve Stangeland. (1988). Cellular morphometric changes in cat hearts subjected to three hours of regional ischaemia. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 412(3). 205–213. 10 indexed citations

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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