Peter Donndorf

55 total papers · 459 total citations
28 papers, 359 citations indexed

About

Peter Donndorf is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, Peter Donndorf has authored 28 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 12 papers in Cardiology and Cardiovascular Medicine and 11 papers in Genetics. Recurrent topics in Peter Donndorf's work include Mesenchymal stem cell research (11 papers), Tissue Engineering and Regenerative Medicine (9 papers) and Cardiac and Coronary Surgery Techniques (8 papers). Peter Donndorf is often cited by papers focused on Mesenchymal stem cell research (11 papers), Tissue Engineering and Regenerative Medicine (9 papers) and Cardiac and Coronary Surgery Techniques (8 papers). Peter Donndorf collaborates with scholars based in Germany and Netherlands. Peter Donndorf's co-authors include Gustav Steinhoff, Alexander Kaminski, Andreas Liebold, Guenther Kundt, Äenne Glass, Can Yerebakan, Brigitte Vollmar, Bodo-Eckhard Strauer, Bernd Westphal and Axel Haverich and has published in prestigious journals such as Journal of Thoracic and Cardiovascular Surgery, Advances in experimental medicine and biology and Journal of Cellular and Molecular Medicine.

In The Last Decade

Peter Donndorf

28 papers receiving 346 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Donndorf 239 153 125 102 71 28 359
Ryszard Kalawski 273 1.1× 134 0.9× 138 1.1× 98 1.0× 90 1.3× 26 371
Marlos R. Fernandes 273 1.1× 209 1.4× 120 1.0× 126 1.2× 65 0.9× 16 375
Federico Franchi 131 0.5× 39 0.3× 93 0.7× 56 0.5× 57 0.8× 30 369
Goditha U. Premaratne 259 1.1× 175 1.1× 119 1.0× 122 1.2× 67 0.9× 17 380
Núria Solanes 128 0.5× 60 0.4× 65 0.5× 47 0.5× 100 1.4× 21 302
Shinya Fukuhara 227 0.9× 187 1.2× 107 0.9× 114 1.1× 105 1.5× 18 367
Mariana Valente 156 0.7× 92 0.6× 196 1.6× 71 0.7× 67 0.9× 18 348
Xinyan Pang 82 0.3× 60 0.4× 88 0.7× 25 0.2× 59 0.8× 27 358
Jide Jin 78 0.3× 107 0.7× 135 1.1× 30 0.3× 35 0.5× 30 400
Amir Gahremanpour 159 0.7× 89 0.6× 100 0.8× 53 0.5× 127 1.8× 20 348

Countries citing papers authored by Peter Donndorf

Since Specialization
Citations

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

Fields of papers citing papers by Peter Donndorf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Donndorf

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

All Works

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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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