S. K. Cunningham

1.2k citations
36 papers · 969 · h-index 19

Impact in

Papers in

S. K. Cunningham

36 papers receiving 926 citations

Peers

S. K. Cunningham
Comparison fields: 5 of 104
  • Behavioral Neuroscience 146
  • Endocrinology, Diabetes and Metabolism 547
  • Reproductive Medicine 179
  • Nephrology 52
  • Clinical Biochemistry 40
Replace M. J. WATSON with:
M. J. WATSON United Kingdom
B T Rudd United Kingdom
H. L. Krüskemper Germany
Rémy Sapin France
Fumihiko Kurimoto Japan
Κ. Schöffling Germany
Piotr Soszyński Poland
C. L. Cope United Kingdom
Edmund B. Flink United States
Jeffrey Barron United Kingdom
S. K. Cunningham relative to M. J. WATSON United Kingdom M. J. WATSON's profile →
Citations per field
00.5×6.7×
M. J. WATSON · 1×
Citations per year

Countries citing papers authored by S. K. Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by S. K. Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. K. Cunningham. 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 S. K. Cunningham. The network helps show where S. K. Cunningham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994129
2 1983102
3 199071
4 200653
5 198451
6 198340
7 197837
8 199737
9 197836
10 199736
11 198536
12 197432
13 197727
14 199426
15 199625
16 199422
17 199621
18 198520
19 199519
20 200917

About S. K. Cunningham

S. K. Cunningham is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Molecular Biology, Behavioral Neuroscience and Nephrology, having authored 36 papers that have together received 969 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (12 papers), Ovarian function and disorders (11 papers), Hormonal Regulation and Hypertension (9 papers), Adrenal Hormones and Disorders (7 papers), Stress Responses and Cortisol (6 papers), Metabolism and Genetic Disorders (4 papers), Sexual Differentiation and Disorders (4 papers) and Hypothalamic control of reproductive hormones (3 papers). The work is most often cited by research in Behavioral Neuroscience (146 citations), Endocrinology, Diabetes and Metabolism (547 citations), Reproductive Medicine (179 citations), Nephrology (52 citations) and Clinical Biochemistry (40 citations). S. K. Cunningham has collaborated with scholars based in Ireland, Australia and South Korea. Frequent co-authors include T. J. McKenna, T. V. Keaveny, T. J. McKenna, Tarek Fiad, T. Loughlin, M. Culliton, John M. Kirby, Derval Igoe, Catherine Cronin and Michael J. Duffy. Their work appears in journals such as Annals of Clinical Biochemistry International Journal of Laboratory Medicine, Clinical Endocrinology, The Journal of Steroid Biochemistry and Molecular Biology, The Journal of Clinical Endocrinology & Metabolism and European Journal of Endocrinology.

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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