Lars Ynddal

706 citations
18 papers · 528 · h-index 14

Impact in

Papers in

    • Receptor Mechanisms and Signaling 5
    • Peroxisome Proliferator-Activated Receptors 4
    • Growth Hormone and Insulin-like Growth Factors 5
    • Diabetes Treatment and Management 2
    • Adrenal Hormones and Disorders 2
    • Pituitary Gland Disorders and Treatments 2

Lars Ynddal

18 papers receiving 518 citations

Peers

Lars Ynddal
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 133
  • Biochemistry 38
  • Molecular Biology 313
  • Physiology 21
  • Pharmacology 59
Replace Net Daş-Evcimen with:
Net Daş-Evcimen Türkiye
Janice C. Parker United States
Erik Max Wulff Denmark
Paolo Barassi Italy
Agnès Bénardeau Switzerland
Michael E. Beil Switzerland
J.-P. Vilaine France
Shawn D. Doran United States
Suresh Giri India
Lars Ynddal relative to Net Daş-Evcimen Türkiye Net Daş-Evcimen's profile →
Citations per field
00.5×2.6×
Net Daş-Evcimen · 1×
Citations per year

Countries citing papers authored by Lars Ynddal

Since Specialization
Citations

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

Fields of papers citing papers by Lars Ynddal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2002132
2 200746
3 200245
4 202136
5 200331
6 200330
7 200928
8 200326
9 200625
10 199524
11 199922
12 200320
13 200720
14 200014
15 200110
16 200110
17 20256
18 19983

About Lars Ynddal

Lars Ynddal is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Surgery and Pharmacology, having authored 18 papers that have together received 528 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Neuropeptides and Animal Physiology (4 papers), Diabetes Treatment and Management (2 papers), Adrenal Hormones and Disorders (2 papers), Adipose Tissue and Metabolism (2 papers) and Pituitary Gland Disorders and Treatments (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (133 citations), Biochemistry (38 citations), Molecular Biology (313 citations), Physiology (21 citations) and Pharmacology (59 citations). Lars Ynddal has collaborated with scholars based in Denmark, Switzerland and United States. Frequent co-authors include John P. Mogensen, Steen Honoré Hansen, Lone Jeppesen, Per Sauerberg, Ingrid Pettersson, Erik Max Wulff, Jan Fleckner, Christian L. Brand, L. Anders Svensson and Paul S. Bury. Their work appears in journals such as Journal of Medicinal Chemistry, Growth Hormone & IGF Research, Bioorganic & Medicinal Chemistry Letters, Diabetes Obesity and Metabolism 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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