S Hügl

1.1k citations
17 papers · 981 indexed · h-index 13
Topics
Pancreatic function and diabetes (12 papers)Metabolism, Diabetes, and Cancer (9 papers)Pancreatic and Hepatic Oncology Research (2 papers)

In The Last Decade

S Hügl

17 papers receiving 961 citations

Peers

S Hügl
Comparison fields: 5 of 74
  • Surgery 600
  • Molecular Biology 532
  • Endocrinology, Diabetes and Metabolism 323
  • Genetics 256
  • Physiology 156
Replace Manuel Blandino-Rosano with:
Manuel Blandino-Rosano United States
Andrei I. Oprescu Canada
Hannah J. Welters United Kingdom
Rohit Kulkarni United States
Pili Zhang United States
Sandrine Gremlich Switzerland
Cris M. Welling United States
Ja Young Kim-Muller United States
M.H. Giroix France
Accalia Fu Canada
S Hügl relative to Manuel Blandino-Rosano United States Manuel Blandino-Rosano's profile →
Citations per field
00.5×1.5×
Manuel Blandino-Rosano · 1×
Citations per year

Countries citing papers authored by S Hügl

Since Specialization
Citations

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

Fields of papers citing papers by S Hügl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Hügl

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 14
3 1
4
Prolactin stimulates proliferation of the glucose-dependent beta-cell line INS-1 via different IRS-proteins.
17
5 8
6 20
7 46
8 133
9 5
10 97
11 242
12 21
13 23
14 18
15 219
16 46
17 68

About S Hügl

S Hügl is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Developmental Neuroscience, having authored 17 papers that have together received 981 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Metabolism, Diabetes, and Cancer (9 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (323 citations), Surgery (600 citations) and Genetics (256 citations). S Hügl has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Christopher J. Rhodes, Morris F. White, Martin G. Myers, Christian Wrede, Hiroshi Kajio, Jill F. McCuaig, Lorna M. Dickson, Melissa K. Lingohr, Daniel R. Twardzik and Michael Merger. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

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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