Thomas Trüb

22 papers receiving 2.4k citations

Hit Papers

Correlations of receptor binding and metabolic and mitogenic potencies of insulin analogs designed for clinical use. 2000 · 566 citations
5660+8+17Years since publication100200300400500

Peers

Thomas Trüb
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 510
  • Immunology 501
  • Immunology and Allergy 138
  • Urology 143
  • Molecular Biology 1.5k
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J K Anderson United States
Gianni M. Di Guglielmo Canada
Marion J.G. Bussemakers Netherlands
Qunsheng Ji China
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Maria De La Luz Sierra United States
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Citations per year

Countries citing papers authored by Thomas Trüb

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Trüb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Correlations of receptor binding and metabolic and mitogenic potencies of insulin analogs designed for clinical use.
Hit paper breakdown →
2000566
2 1996264
3 2004228
4 1995193
5 1995173
6 1996169
7 1996169
8 1996121
9 2006111
10 199798
11 199591
12 199581
13 199854
14 200544
15 199031
16 199929
17 201222
18 199417
19 199414
20 200511

About Thomas Trüb

Thomas Trüb is a scholar working on Molecular Biology, Immunology, Surgery, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 22 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Pancreatic function and diabetes (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cell Adhesion Molecules Research (3 papers), T-cell and B-cell Immunology (3 papers), Protein Tyrosine Phosphatases (2 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (510 citations), Immunology (501 citations), Immunology and Allergy (138 citations), Urology (143 citations) and Molecular Biology (1.5k citations). Thomas Trüb has collaborated with scholars based in United States, Switzerland and Denmark. Frequent co-authors include Steven E. Shoelson, Michael J. Eck, Peter Kurtzhals, Annette Sørensen, Inge Jonassen, Claus Kristensen, L. Schäffer, Christoph Schmid, Masaya Miyazaki and Pierre Mainil‐Varlet. Their work appears in journals such as Journal of Biological Chemistry, Experimental Cell Research, Diabetes, Nature Structural & Molecular Biology and Journal of Cellular Physiology.

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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