Gerd Assmann

1.8k total citations · 1 hit paper
8 papers, 888 citations indexed

About

Gerd Assmann is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gerd Assmann has authored 8 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gerd Assmann's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Gerd Assmann is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Gerd Assmann collaborates with scholars based in Germany. Gerd Assmann's co-authors include Helmut Schulte, Paul Cullen, Hugo Van Aken, Michael Walter, Elmar Berendes, C. G. Schmidt, Stefan Evers, E. Bernd Ringelstein, Christof Kessler and Darius G. Nabavi and has published in prestigious journals such as The American Journal of Cardiology, Anesthesia & Analgesia and Clinica Chimica Acta.

In The Last Decade

Gerd Assmann

8 papers receiving 815 citations

Hit Papers

Relation of high-density lipoprotein cholesterol and trig... 1992 2026 2003 2014 1992 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerd Assmann Germany 7 472 447 275 145 130 8 888
Chris Guerin United States 9 519 1.1× 683 1.5× 306 1.1× 132 0.9× 130 1.0× 13 1.2k
Graeme W. Tait United Kingdom 6 470 1.0× 433 1.0× 220 0.8× 89 0.6× 128 1.0× 9 765
Herman A. Tyroler United States 8 361 0.8× 399 0.9× 283 1.0× 91 0.6× 86 0.7× 8 916
M Dobiášová Czechia 18 552 1.2× 449 1.0× 252 0.9× 202 1.4× 139 1.1× 55 1.1k
B M Slavin United Kingdom 19 507 1.1× 432 1.0× 249 0.9× 165 1.1× 123 0.9× 50 1.3k
P.N. Durrington United Kingdom 16 642 1.4× 577 1.3× 277 1.0× 156 1.1× 119 0.9× 35 1.2k
Farhad Zangeneh United States 10 452 1.0× 491 1.1× 250 0.9× 86 0.6× 84 0.6× 17 994
Nancy Phillips United States 12 501 1.1× 522 1.2× 266 1.0× 120 0.8× 208 1.6× 14 984
Peter H. Jones United States 9 349 0.7× 780 1.7× 302 1.1× 135 0.9× 174 1.3× 13 1.1k
David Colquhoun Australia 11 341 0.7× 631 1.4× 341 1.2× 125 0.9× 143 1.1× 16 1.1k

Countries citing papers authored by Gerd Assmann

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Assmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerd Assmann

This figure shows the co-authorship network connecting the top 25 collaborators of Gerd Assmann. A scholar is included among the top collaborators of Gerd Assmann 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 Gerd Assmann. Gerd Assmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Eckardstein, Arnold von, et al.. (2001). Association of serum apolipoprotein A-I (but not high-density lipoprotein cholesterol) with healed myocardial infarction in men independent of serum insulin and C-peptide. The American Journal of Cardiology. 88(7). 723–726. 7 indexed citations
2.
Berendes, Elmar, et al.. (2001). Differential Secretion of Atrial and Brain Natriuretic Peptide in Critically Ill Patients. Anesthesia & Analgesia. 93(3). 676–682. 44 indexed citations
3.
Kratz, Mario, Michael Erren, Jerzy–Roch Nofer, et al.. (2001). Effects of Diets Containing Olive Oil, Sunflower Oil, or Rapeseed Oil on the Hemostatic System. Thrombosis and Haemostasis. 85(2). 280–286. 49 indexed citations
4.
Cullen, Paul & Gerd Assmann. (1999). High risk strategies for atherosclerosis. Clinica Chimica Acta. 286(1-2). 31–45. 24 indexed citations
5.
Nabavi, Darius G., Ralf Junker, Peter Lüdemann, et al.. (1998). Prevalence of factor V Leiden mutation in young adults with cerebral ischaemia: a case-control study on 225 patients. Journal of Neurology. 245(10). 653–658. 57 indexed citations
6.
Assmann, Gerd & Helmut Schulte. (1992). Relation of high-density lipoprotein cholesterol and triglycerides to incidence of atherosclerotic coronary artery disease (the PROCAM experience). The American Journal of Cardiology. 70(7). 733–737. 698 indexed citations breakdown →
7.
Assmann, Gerd & H. Schulte. (1989). European lipid guidelines: Therapeutic recommendations. The American Journal of Cardiology. 63(16). 53–55. 8 indexed citations
8.
Assmann, Gerd. (1982). Zur Ätiologie der Atherosklerose. Hämostaseologie. 2(4). 162–168. 1 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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