Trond Ulven

7.1k citations
139 papers · 5.5k indexed · h-index 46

Impact in

Papers in

Trond Ulven

136 papers receiving 5.3k citations

Peers

Trond Ulven
Comparison fields: 5 of 117
  • Endocrinology, Diabetes and Metabolism 882
  • Cellular and Molecular Neuroscience 904
  • Biochemistry 347
  • Physiology 1.2k
  • Molecular Biology 3.0k
Replace Huy Ong with:
Huy Ong Canada
W. Rodney Mathews United States
Akira Tokumura Japan
Eva Degerman Sweden
Riccardo Ghidoni Italy
Ben S. Zweifel United States
Marc Labelle Canada
Maria Adelaide Pronzato Italy
Gerald W. Becker United States
Pál Gergely Hungary
Trond Ulven relative to Huy Ong Canada Huy Ong's profile →
Citations per field
00.5×
Huy Ong · 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-authorship network

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
#Work
1 20251
2 20233
3 20234
4 20234
5 20231
6 20224
7 202020
8 202017
9 202020
10 201829
11 201612
12 201632
13 201316
14 201146
15 201042
16 20099
17 200839
18 200761
19 200640
20 200573

About Trond Ulven

Trond Ulven is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Biochemistry, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, 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), Asthma and respiratory diseases (11 papers), Cholesterol and Lipid Metabolism (10 papers), Pancreatic function and diabetes (10 papers) and Fatty Acid Research and Health (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (882 citations), Cellular and Molecular Neuroscience (904 citations), Biochemistry (347 citations), Physiology (1.2k citations) and Molecular Biology (3.0k citations). Trond Ulven has collaborated with scholars based in Denmark, United Kingdom and Germany. Frequent co-authors include Evi Kostenis, Graeme Milligan, 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 Scientific Reports.

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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