Trond Ulven

138 papers receiving 5.4k citations

Peers

Trond Ulven
Comparison fields: 5 of 117
  • Endocrinology, Diabetes and Metabolism 814
  • Cellular and Molecular Neuroscience 872
  • Biochemistry 315
  • Physiology 1.0k
  • Nutrition and Dietetics 639
Replace Akira Tokumura with:
Akira Tokumura Japan
Huy Ong Canada
W. Rodney Mathews United States
Riccardo Ghidoni Italy
Jerry R. Colca United States
Maria Adelaide Pronzato Italy
Zhong‐Yin Zhang United States
Robert F. Jacob United States
Xin Xie China
Mukul R. Jain India
Trond Ulven relative to Akira Tokumura Japan Akira Tokumura's profile →
Citations per field
00.5×6.5×
Akira Tokumura · 1×
Citations per year

Countries citing papers authored by Trond Ulven

Since Specialization
Citations

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

Fields of papers citing papers by Trond Ulven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012216
2 2016214
3 2006172
4 2013171
5 2001167
6 2019152
7 2012142
8 2017112
9 2007111
10 2008110
11 2012107
12 2011100
13 201598
14 201197
15 201594
16 201394
17 201679
18 201879
19 201578
20 201475

About Trond Ulven

Trond Ulven is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Organic Chemistry and Surgery, having authored 139 papers that have together received 5.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (61 papers), Neuropeptides and Animal Physiology (28 papers), Diabetes Treatment and Management (12 papers), Chemical Synthesis and Analysis (11 papers), Cholesterol and Lipid Metabolism (10 papers), Asthma and respiratory diseases (10 papers), Pancreatic function and diabetes (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (814 citations), Cellular and Molecular Neuroscience (872 citations), Biochemistry (315 citations), Physiology (1.0k citations) and Nutrition and Dietetics (639 citations). Trond Ulven has collaborated with scholars based in Denmark, United Kingdom and Germany. Frequent co-authors include Graeme Milligan, Evi Kostenis, Brian D. Hudson, Elisabeth Christiansen, Bharat Shimpukade, Steffen V. F. Hansen, Irina G. Tikhonova, Mads C. Nielsen, Maria E. Due‐Hansen and Manuel Grundmann. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Molecular Pharmacology, Bioorganic & Medicinal Chemistry Letters and The Journal of Organic Chemistry.

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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