Karin A. Eidne

6.0k citations
94 papers · 5.2k · h-index 40

Impact in

Papers in

Karin A. Eidne

92 papers receiving 5.0k citations

Peers

Karin A. Eidne
Comparison fields: 5 of 110
  • Reproductive Medicine 1.4k
  • Cellular and Molecular Neuroscience 1.2k
  • Endocrine and Autonomic Systems 333
  • Endocrinology, Diabetes and Metabolism 751
  • Molecular Biology 2.9k
Replace Inhae Ji with:
Inhae Ji United States
Theresa E. Hickey Australia
Debabrata Chakravarti United States
Arieh A. Katz South Africa
M G Rosenfeld United States
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Thomas F.J. Martin United States
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Citations per field
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Citations per year

Countries citing papers authored by Karin A. Eidne

Since Specialization
Citations

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

Fields of papers citing papers by Karin A. Eidne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006467
2 2005324
3 2002304
4 1987199
5 2006174
6 2001164
7 1997155
8 1985152
9 1998131
10 1993128
11 2005126
12 1992120
13 1998101
14 200297
15 199991
16 199991
17 199790
18 200690
19 200489
20
The expression of gonadotropin-releasing hormone and its receptor in endometrial cancer, and its relevance as an autocrine growth factor.
199689

About Karin A. Eidne

Karin A. Eidne is a scholar working on Molecular Biology, Reproductive Medicine, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 94 papers that have together received 5.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (42 papers), Hypothalamic control of reproductive hormones (36 papers), Neuropeptides and Animal Physiology (28 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Estrogen and related hormone effects (9 papers), Biotin and Related Studies (7 papers), Ovarian function and disorders (7 papers) and Neurobiology and Insect Physiology Research (6 papers). The work is most often cited by research in Reproductive Medicine (1.4k citations), Cellular and Molecular Neuroscience (1.2k citations), Endocrine and Autonomic Systems (333 citations), Endocrinology, Diabetes and Metabolism (751 citations) and Molecular Biology (2.9k citations). Karin A. Eidne has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Kevin D. G. Pfleger, Ruth M. Seeber, Robert P. Millar, Karen M. Kroeger, Aylin C. Hanyaloglu, Robin Sellar, Colleen A. Flanagan, Milka Vrecl, Anders Heding and Julia V Cook. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Molecular and Cellular Endocrinology, Molecular Pharmacology and Biochemical Journal.

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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