Alexander Traut

200 total papers · 3.1k total citations
89 papers, 2.1k citations indexed

About

Alexander Traut is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology. According to data from OpenAlex, Alexander Traut has authored 89 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Reproductive Medicine, 32 papers in Obstetrics and Gynecology and 27 papers in Oncology. Recurrent topics in Alexander Traut's work include Ovarian cancer diagnosis and treatment (52 papers), Endometrial and Cervical Cancer Treatments (28 papers) and Intraperitoneal and Appendiceal Malignancies (18 papers). Alexander Traut is often cited by papers focused on Ovarian cancer diagnosis and treatment (52 papers), Endometrial and Cervical Cancer Treatments (28 papers) and Intraperitoneal and Appendiceal Malignancies (18 papers). Alexander Traut collaborates with scholars based in Germany, Austria and Belgium. Alexander Traut's co-authors include Andreas du Bois, Philipp Harter, Florian Heitz, Beyhan Ataseven, Sonia Prader, Rita Hils, Christoph Grimm, Pier Francesco Alesina, Sebastian Heikaus and Hans-Joachim Lueck and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Physiology.

In The Last Decade

Alexander Traut

81 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Alexander Traut 1.2k 842 676 610 377 89 2.1k
David Guthrie 1.1k 1.0× 682 0.8× 491 0.7× 686 1.1× 261 0.7× 49 2.3k
Kara Long Roche 1.0k 0.9× 714 0.8× 737 1.1× 496 0.8× 210 0.6× 124 1.9k
Peter Oppelt 984 0.9× 424 0.5× 825 1.2× 792 1.3× 476 1.3× 146 2.8k
Patrick Berteloot 818 0.7× 457 0.5× 719 1.1× 737 1.2× 346 0.9× 87 2.0k
Masato Nishida 965 0.8× 487 0.6× 888 1.3× 274 0.4× 321 0.9× 96 2.0k
Lois Almadrones 1.8k 1.6× 1.4k 1.6× 655 1.0× 928 1.5× 260 0.7× 62 2.7k
W. Qian 860 0.7× 532 0.6× 298 0.4× 703 1.2× 404 1.1× 39 1.8k
Beyhan Ataseven 746 0.6× 589 0.7× 465 0.7× 925 1.5× 363 1.0× 122 2.3k
Karin Leunen 1.7k 1.5× 855 1.0× 1.2k 1.7× 996 1.6× 335 0.9× 115 3.2k
Takahiro Kasamatsu 857 0.7× 855 1.0× 1.1k 1.6× 542 0.9× 330 0.9× 122 2.5k

Countries citing papers authored by Alexander Traut

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Traut

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Traut

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