Ingo Uphues

977 citations
21 papers · 797 · h-index 11

Impact in

Papers in

Ingo Uphues

21 papers receiving 786 citations

Peers

Ingo Uphues
Comparison fields: 5 of 69
  • Endocrinology, Diabetes and Metabolism 196
  • Physiology 164
  • Surgery 268
  • Molecular Biology 447
  • Biochemistry 43
Replace Kwan Yi Chu with:
Kwan Yi Chu Australia
Adama Kamagaté United States
Liora S. Katz United States
Sabine Rütti Switzerland
Rodolphe Dusaulcy Switzerland
Phillip J. Muckett United Kingdom
Balachandar Nedumaran South Korea
Osamu Kikuchi Japan
Yasuyoshi Yamaji Japan
María-Jesús Latasa United States
Ingo Uphues relative to Kwan Yi Chu Australia Kwan Yi Chu's profile →
Citations per field
00.5×1.5×1.9×
Kwan Yi Chu · 1×
Citations per year

Countries citing papers authored by Ingo Uphues

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Uphues

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017186
2 2022108
3 201474
4 199773
5 201661
6 199550
7 199250
8 199449
9 201742
10 200134
11 202411
12 199411
13 201411
14 199510
15 20007
16 20245
17 20005
18 20234
19 20124
20 20231

About Ingo Uphues

Ingo Uphues is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Cell Biology and Genetics, having authored 21 papers that have together received 797 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (12 papers), Pancreatic function and diabetes (10 papers), Diabetes Treatment and Management (4 papers), Cellular transport and secretion (4 papers), Ion channel regulation and function (3 papers), Diet, Metabolism, and Disease (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (196 citations), Physiology (164 citations), Surgery (268 citations), Molecular Biology (447 citations) and Biochemistry (43 citations). Ingo Uphues has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Jürgen Eckel, Thomas Kolter, Bruno Goud, H. Reinauer, Mark R. Ibberson, Gérard Waeber, Dieter W. Hamprecht, Hervé Le Stunff, Ioannis Xénarios and Anke M. Schulte. Their work appears in journals such as Diabetes, Molecular Metabolism, American Journal of Physiology-Endocrinology and Metabolism, Biochemical Journal and The Journal of Clinical Endocrinology & Metabolism.

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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