Ingo Uphues

937 citations
17 papers · 617 indexed · h-index 10

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 11
    • Ion channel regulation and function 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • Receptor Mechanisms and Signaling 2
    • Pancreatic function and diabetes 9

Ingo Uphues

17 papers receiving 610 citations

Peers

Ingo Uphues
Comparison fields: 5 of 66
  • Endocrinology, Diabetes and Metabolism 174
  • Physiology 170
  • Molecular Biology 404
  • Endocrine and Autonomic Systems 35
  • Biochemistry 34
Replace Rodolphe Dusaulcy with:
Rodolphe Dusaulcy Switzerland
Kwan Yi Chu Australia
Manisha Nautiyal United States
Murthy S.R. Madiraju Canada
Joan Helmering United States
Su Sung Kim South Korea
E. Seffer Germany
Ann-Marie Richard United States
Kevin Vivot France
Carol Lenaghan United Kingdom
Ingo Uphues relative to Rodolphe Dusaulcy Switzerland Rodolphe Dusaulcy's profile →
Citations per field
00.5×1.6×
Rodolphe Dusaulcy · 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

17 of 17 papers shown
#Work
1 2017173
2 202281
3 199771
4 201653
5 199249
6 199549
7 199448
8 200134
9 199411
10 199510
11 20149
12 20248
13 20005
14 20005
15 20125
16 20243
17 20233

About Ingo Uphues

Ingo Uphues is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cell Biology and Epidemiology, having authored 17 papers that have together received 617 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (11 papers), Pancreatic function and diabetes (9 papers), Cellular transport and secretion (4 papers), Ion channel regulation and function (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Diet, Metabolism, and Disease (2 papers), Diabetes Treatment and Management (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Physiology (170 citations), Molecular Biology (404 citations), Endocrine and Autonomic Systems (35 citations) and Biochemistry (34 citations). Ingo Uphues has collaborated with scholars based in Germany, France and Taiwan. Frequent co-authors include Jürgen Eckel, Thomas Kolter, Bruno Goud, H. Reinauer, Neïké Fernandez, Bernard Thorens, Anke M. Schulte, Céline Cruciani‐Guglielmacci, Werner Kramer and Pedro Marques‐Vidal. Their work appears in journals such as Biochemical Journal, American Journal of Physiology-Endocrinology and Metabolism, Acta Crystallographica Section D Structural Biology, European Journal of Biochemistry and FEBS Letters.

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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