Patrick Kugelmeier

1.0k citations
12 papers · 690 · h-index 9

Impact in

Papers in

    • Pancreatic function and diabetes 5
    • Pluripotent Stem Cells Research 3
    • Metabolism, Diabetes, and Cancer 2

Patrick Kugelmeier

12 papers receiving 679 citations

Peers

Patrick Kugelmeier
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 240
  • Surgery 510
  • Genetics 182
  • Pharmacology 98
  • Cancer Research 43
Replace Doug O’Gorman with:
Doug O’Gorman Canada
Silvia Álvarez-Cubela United States
Charles‐Henri Wassmer Switzerland
Johan Olerud Sweden
Maria Petropavlovskaia Canada
Gopika G. Nair United States
Jean Xu United States
I. Larsen Canada
R V Rajotte Canada
Hilary M. Docherty United Kingdom
Patrick Kugelmeier relative to Doug O’Gorman Canada Doug O’Gorman's profile →
Citations per field
00.5×1.7×
Doug O’Gorman · 1×
Citations per year

Countries citing papers authored by Patrick Kugelmeier

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Kugelmeier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2007249
2 2002155
3 2005145
4 202065
5 201721
6 202215
7 200813
8 202311
9 20218
10 20193
11 20233
12 20232

About Patrick Kugelmeier

Patrick Kugelmeier is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Biomedical Engineering and Oncology, having authored 12 papers that have together received 690 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Pluripotent Stem Cells Research (3 papers), 3D Printing in Biomedical Research (3 papers), Diabetes Management and Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Diabetes and associated disorders (2 papers), Diet, Metabolism, and Disease (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (240 citations), Surgery (510 citations), Genetics (182 citations), Pharmacology (98 citations) and Cancer Research (43 citations). Patrick Kugelmeier has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Roger Lehmann, Markus Weber, Wolfgang Moritz, Max Gassmann, Pierre‐Alain Clavien, Aurel Perren, Philipp B. Baenninger, Giatgen A. Spinas, Richard A. Zuellig and Florian Meier. Their work appears in journals such as Hormone and Metabolic Research, Diabetes, Frontiers in Bioengineering and Biotechnology, Cell Transplantation and The FASEB Journal.

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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