C.‐J. Dalsgaard

3.4k citations
45 papers · 2.9k indexed · h-index 32

Impact in

Papers in

C.‐J. Dalsgaard

45 papers receiving 2.8k citations

Peers

C.‐J. Dalsgaard
Comparison fields: 5 of 100
  • Cellular and Molecular Neuroscience 2.1k
  • Physiology 1.2k
  • Endocrine and Autonomic Systems 242
  • Reproductive Medicine 171
  • Gastroenterology 105
Replace Terunori Mitsuma with:
Terunori Mitsuma Japan
T. Cowen United Kingdom
P.K. Mulderry United Kingdom
Pablo R. Brumovsky Argentina
Carl Molander Sweden
Bengt Uvelius Sweden
R.E. Papka United States
J. Fahrenkrug Denmark
Daniel L. McNeill United States
Janet R. Keast Australia
C.‐J. Dalsgaard relative to Terunori Mitsuma Japan Terunori Mitsuma's profile →
Citations per field
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Terunori Mitsuma · 1×
Citations per year

Countries citing papers authored by C.‐J. Dalsgaard

Since Specialization
Citations

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

Fields of papers citing papers by C.‐J. Dalsgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.‐J. Dalsgaard. 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 C.‐J. Dalsgaard. The network helps show where C.‐J. Dalsgaard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985195
2 1989192
3 1983171
4 1987159
5 1989153
6 1986140
7 1982131
8 1986126
9 1982120
10 1992105
11 198293
12 198992
13 198389
14 198283
15 199476
16 198469
17 198166
18 198360
19 197759
20 198456

About C.‐J. Dalsgaard

C.‐J. Dalsgaard is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Surgery and Pharmacology, having authored 45 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (32 papers), Pain Mechanisms and Treatments (22 papers), Receptor Mechanisms and Signaling (13 papers), Nerve injury and regeneration (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Hypothalamic control of reproductive hormones (3 papers), Neuroblastoma Research and Treatments (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Physiology (1.2k citations), Endocrine and Autonomic Systems (242 citations), Reproductive Medicine (171 citations) and Gastroenterology (105 citations). C.‐J. Dalsgaard has collaborated with scholars based in Sweden, United Kingdom and Italy. Frequent co-authors include L.-G. Elfvin, Tomas Hökfelt, Anders Hægerstrand, A. Claudio Cuello, Lars Terenius, Marianne Schultzberg, T. H�kfelt, Ernst Brodin, Jan Ygge and Elvar Theodorsson. Their work appears in journals such as Brain Research, Neuroscience, The Journal of Comparative Neurology, Histochemistry and Cell Biology and Cell and Tissue Research.

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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