Fred A. Dijcks

1.1k citations
25 papers · 918 indexed · h-index 18

Impact in

Papers in

Fred A. Dijcks

25 papers receiving 907 citations

Peers

Fred A. Dijcks
Comparison fields: 5 of 84
  • Reproductive Medicine 393
  • Endocrine and Autonomic Systems 106
  • Cellular and Molecular Neuroscience 226
  • Behavioral Neuroscience 27
  • Obstetrics and Gynecology 52
Replace Yoshihiro Tokugawa with:
Yoshihiro Tokugawa Japan
Robin Sellar United Kingdom
Tuula Hämäläinen Finland
Nathalie Suarez-Huerta Belgium
William C. Gorospe United States
Gavin MacColl United Kingdom
Valérie Matagne United States
Shailaja K. Mani United States
Sheila J. Semaan United States
Patrick Davis United States
Fred A. Dijcks relative to Yoshihiro Tokugawa Japan Yoshihiro Tokugawa's profile →
Citations per field
00.5×
Yoshihiro Tokugawa · 1×
Citations per year

Countries citing papers authored by Fred A. Dijcks

Since Specialization
Citations

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

Fields of papers citing papers by Fred A. Dijcks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fred A. Dijcks. 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 Fred A. Dijcks. The network helps show where Fred A. Dijcks may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202231
2 20212
3 202039
4 20201
5 20189
6 201080
7 201023
8 201026
9 200883
10 200850
11 200815
12 200735
13
A selective estrogen receptor alpha agonist (ORG 37663) suppresses inflammation and arthritis in mouse models
20063
14 200584
15 199732
16 199729
17 199252
18 199116
19 198820
20 198638

About Fred A. Dijcks

Fred A. Dijcks is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience, Genetics, Pharmacology and Oncology, having authored 25 papers that have together received 918 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Hypothalamic control of reproductive hormones (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Ovarian function and disorders (3 papers), Neuroendocrine regulation and behavior (3 papers), Reproductive System and Pregnancy (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Reproductive Medicine (393 citations), Endocrine and Autonomic Systems (106 citations), Cellular and Molecular Neuroscience (226 citations), Behavioral Neuroscience (27 citations) and Obstetrics and Gynecology (52 citations). Fred A. Dijcks has collaborated with scholars based in Netherlands, Spain and United States. Frequent co-authors include A. Ederveen, L. Pinilla, Manuel Tena‐Sempere, Paula I. van Noort, E. Aguilar, Chamindie Punyadeera, Rick Kamps, A. de Goeij, Patrick G. Groothuis and David García-Galiano. Their work appears in journals such as Endocrinology, Cancer Research, European Journal of Pharmacology, Cellular and Molecular Life Sciences and Journal of Pharmacology and Experimental Therapeutics.

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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