Katharina Schütt

862 citations
44 papers · 293 indexed · h-index 8
Topics
Diabetes Treatment and Management (22 papers)Cardiovascular Function and Risk Factors (14 papers)Diabetes Management and Research (14 papers)

In The Last Decade

Katharina Schütt

32 papers receiving 287 citations

Peers

Katharina Schütt
Comparison fields: 5 of 65
  • Molecular Biology 192
  • Cancer Research 86
  • Endocrinology, Diabetes and Metabolism 62
  • Cardiology and Cardiovascular Medicine 61
  • Surgery 39
Replace Qiyang Shen with:
Qiyang Shen China
Simina‐Ramona Selejan Germany
Keitaro Okamoto Japan
Julia Debik Norway
Radosław Dębiec United Kingdom
Avgi Andreou United Kingdom
Rosario Rodríguez-Guillén Mexico
Emioli Randazzo Italy
Malgorzata Szaroszyk Germany
Edmund Chan Singapore
Katharina Schütt relative to Qiyang Shen China Qiyang Shen's profile →
Citations per field
00.5×3.2×
Qiyang Shen · 1×
Citations per year

Countries citing papers authored by Katharina Schütt

Since Specialization
Citations

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

Fields of papers citing papers by Katharina Schütt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharina Schütt

This figure shows the co-authorship network connecting the top 25 collaborators of Katharina Schütt. A scholar is included among the top collaborators of Katharina Schütt 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 Katharina Schütt. Katharina Schütt 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
#WorkIndexed citations
1 6
2 2
3 0
4 4
5 1
6 0
7 0
8 2
9 3
10 45
11 12
12 2
13 0
14 8
15 1
16 21
17 1
18 124
19 3
20 15

About Katharina Schütt

Katharina Schütt is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Internal Medicine, having authored 44 papers that have together received 293 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (22 papers), Cardiovascular Function and Risk Factors (14 papers) and Diabetes Management and Research (14 papers). The work is most often cited by research in Cancer Research (86 citations), Endocrinology, Diabetes and Metabolism (62 citations) and Molecular Biology (192 citations). Katharina Schütt has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Peter F. Stadler, Jörg Hackermüller, Nikolaus Marx, Friedemann Horn, Philipp Khaitovich, Xiaodong Qi, Steve Hoffmann, Axel Mosig, Julian J.‐L. Chen and Sonja J. Prohaska. Their work appears in journals such as Bioinformatics, Molecular Biology and Evolution and British Journal of Anaesthesia.

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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