Barbara M. Klinkhammer

3.7k citations
60 papers · 2.0k indexed · h-index 25
Topics
Chronic Kidney Disease and Diabetes (12 papers)Renal Diseases and Glomerulopathies (10 papers)AI in cancer detection (9 papers)

In The Last Decade

Barbara M. Klinkhammer

57 papers receiving 2.0k citations

Peers

Barbara M. Klinkhammer
Comparison fields: 5 of 113
  • Nephrology 564
  • Molecular Biology 521
  • Pulmonary and Respiratory Medicine 407
  • Surgery 303
  • Radiology, Nuclear Medicine and Imaging 237
Replace Vipul C. Chitalia with:
Vipul C. Chitalia United States
Tri Q. Nguyen Netherlands
Bart Smeets Netherlands
Štefan Porubský Germany
Parker C. Wilson United States
Hideki Yokoi Japan
Roman D. Bülow Germany
Sabine Leh Norway
Hiroshi Kawachi Japan
Jesper Kers Netherlands
Barbara M. Klinkhammer relative to Vipul C. Chitalia United States Vipul C. Chitalia's profile →
Citations per field
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Citations per year

Countries citing papers authored by Barbara M. Klinkhammer

Since Specialization
Citations

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

Fields of papers citing papers by Barbara M. Klinkhammer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara M. Klinkhammer. 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 Barbara M. Klinkhammer. The network helps show where Barbara M. Klinkhammer may publish in the future.

Co-authorship network of co-authors of Barbara M. Klinkhammer

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara M. Klinkhammer. A scholar is included among the top collaborators of Barbara M. Klinkhammer 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 Barbara M. Klinkhammer. Barbara M. Klinkhammer 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 1
2 0
3 1
4 1
5 67
6 34
7 5
8 9
9 11
10 13
11 10
12 6
13 43
14 1
15 101
16 45
17 22
18 42
19 133
20 49

About Barbara M. Klinkhammer

Barbara M. Klinkhammer is a scholar working on Nephrology, Computer Vision and Pattern Recognition and Transplantation, having authored 60 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (12 papers), Renal Diseases and Glomerulopathies (10 papers) and AI in cancer detection (9 papers). The work is most often cited by research in Nephrology (564 citations), Health Informatics (23 citations) and Transplantation (40 citations). Barbara M. Klinkhammer has collaborated with scholars based in Germany, Slovakia and Netherlands. Frequent co-authors include Peter Boor, Jürgen Floege, Jürgen Floege, Sonja Djudjaj, Janka Bábíčková, Twan Lammers, Roel Goldschmeding, Dorit Merhof, Fabian Kießling and Eva Miriam Buhl. Their work appears in journals such as Nature Communications, PLoS ONE and Chemistry of Materials.

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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