Kerstin Wassmann

13 total papers · 904 total citations
13 papers, 759 citations indexed

About

Kerstin Wassmann is a scholar working on Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kerstin Wassmann has authored 13 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kerstin Wassmann's work include Kruppel-like factors research (3 papers), Antioxidant Activity and Oxidative Stress (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Kerstin Wassmann is often cited by papers focused on Kruppel-like factors research (3 papers), Antioxidant Activity and Oxidative Stress (3 papers) and Angiogenesis and VEGF in Cancer (2 papers). Kerstin Wassmann collaborates with scholars based in Germany, United States and Canada. Kerstin Wassmann's co-authors include Georg Nickenig, Sven Waßmann, Cornelius F.H. Mueller, Talin Ebrahimian, Sebastian Zimmer, Ulrich Becher, Claas P. Naehle, Dieter Lütjohann, Vedat Tiyerili and Andreas Zimmer and has published in prestigious journals such as Circulation, Circulation Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Kerstin Wassmann

12 papers receiving 725 citations

Author Peers

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

Author Last Decade Papers Cites
Kerstin Wassmann 282 163 147 143 102 13 759
Yeshao Wen 296 1.0× 175 1.1× 134 0.9× 74 0.5× 91 0.9× 12 747
I.G. Safonova 373 1.3× 215 1.3× 117 0.8× 100 0.7× 64 0.6× 18 696
Pauline Béguin 242 0.9× 226 1.4× 87 0.6× 124 0.9× 52 0.5× 17 804
Noriko Sudoh 179 0.6× 115 0.7× 119 0.8× 229 1.6× 40 0.4× 19 703
Josefa Pete 329 1.2× 118 0.7× 197 1.3× 79 0.6× 54 0.5× 9 891
Soghra Fatima 390 1.4× 155 1.0× 110 0.7× 71 0.5× 62 0.6× 19 780
Hirotaka Tsubouchi 232 0.8× 269 1.7× 207 1.4× 130 0.9× 55 0.5× 9 824
Thomas A. Morinelli 235 0.8× 100 0.6× 67 0.5× 143 1.0× 151 1.5× 18 729
Louise S. Harrington 205 0.7× 245 1.5× 61 0.4× 181 1.3× 134 1.3× 21 827
Kunie Eguchi 502 1.8× 195 1.2× 155 1.1× 268 1.9× 61 0.6× 20 905

Countries citing papers authored by Kerstin Wassmann

Since Specialization
Citations

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

Fields of papers citing papers by Kerstin Wassmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerstin Wassmann

This figure shows the co-authorship network connecting the top 25 collaborators of Kerstin Wassmann. A scholar is included among the top collaborators of Kerstin Wassmann 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 Kerstin Wassmann. Kerstin Wassmann 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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