Patrick Kugelmeier

979 total citations
11 papers, 631 citations indexed

About

Patrick Kugelmeier is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Patrick Kugelmeier has authored 11 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Patrick Kugelmeier's work include Pancreatic function and diabetes (5 papers), Pluripotent Stem Cells Research (3 papers) and Diabetes and associated disorders (3 papers). Patrick Kugelmeier is often cited by papers focused on Pancreatic function and diabetes (5 papers), Pluripotent Stem Cells Research (3 papers) and Diabetes and associated disorders (3 papers). Patrick Kugelmeier collaborates with scholars based in Switzerland, Germany and United Kingdom. Patrick Kugelmeier's co-authors include Roger Lehmann, Wolfgang Moritz, Markus Weber, Max Gassmann, Pierre–Alain Clavien, Giatgen A. Spinas, Richard A. Zuellig, Aurel Perren, Philipp B. Baenninger and Matteo Giuliani and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and The FASEB Journal.

In The Last Decade

Patrick Kugelmeier

11 papers receiving 623 citations

Peers

Patrick Kugelmeier
Elise N. Engquist United States
Gopika G. Nair United States
David M. Salvay United States
Shin Hee Hong South Korea
Patrick Kugelmeier
Citations per year, relative to Patrick Kugelmeier Patrick Kugelmeier (= 1×) peers Johan Olerud

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-authorship network of co-authors of Patrick Kugelmeier

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

All Works

11 of 11 papers shown
1.
Luca, Edlira, Kathrin Zitzmann, Stefan R. Bornstein, et al.. (2023). Three Dimensional Models of Endocrine Organs and Target Tissues Regulated by the Endocrine System. Cancers. 15(18). 4601–4601. 2 indexed citations
2.
Steenblock, Charlotte, Stephanie Fliedner, Giatgen A. Spinas, et al.. (2023). Development of adrenal 3-dimensional spheroid cultures: potential for the treatment of adrenal insufficiency and neurodegenerative diseases. SHILAP Revista de lepidopterología. 1(1). 27–38. 2 indexed citations
3.
Piemonti, Lorenzo, Hanne Scholz, Julie Kerr‐Conte, et al.. (2023). The Relevance of Advanced Therapy Medicinal Products in the Field of Transplantation and the Need for Academic Research Access: Overcoming Bottlenecks and Claiming a New Time. Transplant International. 36. 11633–11633. 10 indexed citations
4.
Bornstein, Stefan R., Igor Shapiro, Richard Züllig, et al.. (2022). Innovative multidimensional models in a high-throughput-format for different cell types of endocrine origin. Cell Death and Disease. 13(7). 648–648. 12 indexed citations
5.
Egger, Dominik, Antonina Lavrentieva, Patrick Kugelmeier, & Cornelia Kasper. (2021). Physiologic isolation and expansion of human mesenchymal stem/stromal cells for manufacturing of cell‐based therapy products. Engineering in Life Sciences. 22(3-4). 361–372. 7 indexed citations
6.
König, Niels, Robert Schmitt, Stephen J. Szilvassy, et al.. (2020). Automation, Monitoring, and Standardization of Cell Product Manufacturing. Frontiers in Bioengineering and Biotechnology. 8. 811–811. 56 indexed citations
7.
Goldman, Orit, Rocı́o Sancho, Barbara Ludwig, et al.. (2019). Lung Based Engineered Micro-Pancreas Sustains Human Beta Cell Survival and Functionality. Hormone and Metabolic Research. 51(12). 805–811. 3 indexed citations
8.
Kugelmeier, Patrick, Philipp C. Nett, Richard Züllig, et al.. (2008). Expression and hypoxic regulation of the endothelin system in endocrine cells of human and rat pancreatic islets. PubMed. 9(2). 133–49. 13 indexed citations
9.
Lehmann, Roger, Richard A. Zuellig, Patrick Kugelmeier, et al.. (2007). Superiority of Small Islets in Human Islet Transplantation. Diabetes. 56(3). 594–603. 239 indexed citations
10.
Giuliani, Mauro, Wolfgang Moritz, Daniel Dindo, et al.. (2005). Central Necrosis in Isolated Hypoxic Human Pancreatic Islets: Evidence for Postisolation Ischemia. Cell Transplantation. 14(1). 67–76. 139 indexed citations
11.
Moritz, Wolfgang, Florian Meier, Deborah Stroka, et al.. (2002). Apoptosis in hypoxic human pancreatic islets correlates with HIF‐1α expression. The FASEB Journal. 16(7). 745–747. 148 indexed citations

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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