Thomas Schöndorf

1.8k total citations
71 papers, 1.4k citations indexed

About

Thomas Schöndorf is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Thomas Schöndorf has authored 71 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 19 papers in Oncology and 16 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Thomas Schöndorf's work include Diabetes Treatment and Management (11 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Metabolism, Diabetes, and Cancer (7 papers). Thomas Schöndorf is often cited by papers focused on Diabetes Treatment and Management (11 papers), PI3K/AKT/mTOR signaling in cancer (7 papers) and Metabolism, Diabetes, and Cancer (7 papers). Thomas Schöndorf collaborates with scholars based in Germany, United States and Australia. Thomas Schöndorf's co-authors include Andreas Pfützner, Thomas Först, Martina Breidenbach, Daniel Rein, Christian M. Kurbacher, Uwe-Jochen Göhring, Peter Mallmann, Heike Engel, Torsten C. Schmidt and M Hanefeld and has published in prestigious journals such as Cell, Diabetes Care and PLANT PHYSIOLOGY.

In The Last Decade

Thomas Schöndorf

69 papers receiving 1.3k citations

Peers

Thomas Schöndorf
Comparison fields: 5 of 106
  • Molecular Biology 590
  • Oncology 341
  • Obstetrics and Gynecology 215
  • Immunology 209
  • Endocrinology, Diabetes and Metabolism 171
Replace Bert Delvoux with:
Bert Delvoux Netherlands
Edward J. Keenan United States
M. Ueda Japan
Ruixia Guo China
Kristin K. Deeb United States
Fang Shen China
Md Sayed Ali Sheikh China
K. Pollow Germany
Silvia Garibaldi Italy
Xiaoyun Cheng China
Bert Delvoux Netherlands View profile →
Citations per field, relative to Thomas Schöndorf
Thomas Schöndorf · 1×
Citations per year, relative to Thomas Schöndorf
Thomas Schöndorf · 1×

Countries citing papers authored by Thomas Schöndorf

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Schöndorf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Schöndorf

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 27
2 10
3 15
4 9
5 97
6 5
7 12
8 17
9 6
10 14
11 18
12 61
13 20
14 17
15
Ex vivo assays to evaluate the role of protein kinase C in tumor cells of patients with breast cancer.
2
16 32
17 5
18 12
19 13
20 14

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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