Beate Kuttler

46 papers receiving 946 citations

Peers

Beate Kuttler
Comparison fields: 5 of 97
  • Transplantation 46
  • Molecular Medicine 71
  • Endocrinology, Diabetes and Metabolism 208
  • Biomaterials 113
  • Surgery 328
Replace Rossella Di Stefano with:
Rossella Di Stefano Italy
Sandra Feijóo‐Bandín Spain
T. Zekorn Germany
Junxi Wu United Kingdom
Barbara Deodato Italy
M.T. Corvol France
Brian J. Philips United States
Keiko Hoshi Japan
Miao Guo China
Beate Kuttler relative to Rossella Di Stefano Italy Rossella Di Stefano's profile →
Citations per field
00.5×3.8×
Rossella Di Stefano · 1×
Citations per year

Countries citing papers authored by Beate Kuttler

Since Specialization
Citations

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

Fields of papers citing papers by Beate Kuttler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Beate Kuttler, 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 Beate Kuttler Line = papers co-authored together Beate Kuttler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997270
2 200388
3 200881
4 200070
5 199763
6
The importance of the kidney in primary hypertension: insights from cross-transplantation.
199644
7 199235
8 199734
9 199733
10 200227
11 198724
12 200122
13 199716
14 200716
15 201114
16 200913
17 199712
18 200910
19 19879
20 19998

About Beate Kuttler

Beate Kuttler is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Immunology and Molecular Biology, having authored 47 papers that have together received 986 indexed citations. Recurring topics across this work include Diabetes and associated disorders (26 papers), Pancreatic function and diabetes (25 papers), Diabetes Management and Research (14 papers), Immune Cell Function and Interaction (7 papers), Renal Transplantation Outcomes and Treatments (5 papers), Organ Transplantation Techniques and Outcomes (5 papers), T-cell and B-cell Immunology (4 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Transplantation (46 citations), Molecular Medicine (71 citations), Endocrinology, Diabetes and Metabolism (208 citations), Biomaterials (113 citations) and Surgery (328 citations). Beate Kuttler has collaborated with scholars based in Germany, United States and Belgium. Frequent co-authors include Hans-Jürgen Hahn, U. Zimmermann, Gerd Klöck, Ingrid Klöting, Heike Wanka, Rainer Rettig, Oliver Patschan, Hans‐Dieter Volk, S. Schmidt and Petra Augstein. Their work appears in journals such as Transplantation, Experimental and Clinical Endocrinology & Diabetes, Biochemical and Biophysical Research Communications, Diabetologia and Journal of Hypertension.

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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