Alexander Traut

3.1k citations
89 papers · 2.1k · h-index 27

Impact in

Papers in

Alexander Traut

81 papers receiving 2.1k citations

Peers

Alexander Traut
Comparison fields: 5 of 98
  • Reproductive Medicine 1.2k
  • Obstetrics and Gynecology 680
  • Oncology 612
  • Surgery 845
  • Cancer Research 264
Replace Beyhan Ataseven with:
Beyhan Ataseven Germany
Victoria M. Chia United States
W. Qian United Kingdom
Tien Le Canada
Salvatore Tumolo Italy
Marta A. Crispens United States
Satoshi Yamaguchi Japan
N. Davidson United Kingdom
Jinghe Lang China
Klaus Mayerhofer Austria
Alexander Traut relative to Beyhan Ataseven Germany Beyhan Ataseven's profile →
Citations per field
00.5×1.5×
Beyhan Ataseven · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Alexander Traut, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alexander Traut Line = papers co-authored together Alexander Traut links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009170
2 2016148
3 2011145
4 2015121
5 200797
6 201678
7 201165
8 201863
9 201760
10 201557
11 201753
12 201446
13 200942
14 201342
15 200941
16 201640
17 201039
18 202037
19 201635
20 201433

About Alexander Traut

Alexander Traut is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 89 papers that have together received 2.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (52 papers), Endometrial and Cervical Cancer Treatments (28 papers), Intraperitoneal and Appendiceal Malignancies (18 papers), Breast Cancer Treatment Studies (12 papers), Cancer Treatment and Pharmacology (8 papers), Uterine Myomas and Treatments (7 papers), HER2/EGFR in Cancer Research (6 papers) and Cancer Genomics and Diagnostics (6 papers). The work is most often cited by research in Reproductive Medicine (1.2k citations), Obstetrics and Gynecology (680 citations), Oncology (612 citations), Surgery (845 citations) and Cancer Research (264 citations). Alexander Traut has collaborated with scholars based in Germany, Austria and Belgium. Frequent 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. Their work appears in journals such as Gynecologic Oncology, International Journal of Gynecological Cancer, Archives of Gynecology and Obstetrics, Journal of Clinical Oncology and Annals of Surgical Oncology.

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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