Stephen Nussey

3.7k citations
65 papers · 2.5k indexed · h-index 26

Impact in

Papers in

Stephen Nussey

64 papers receiving 2.4k citations

Peers

Stephen Nussey
Comparison fields: 5 of 128
  • Endocrinology, Diabetes and Metabolism 708
  • Ophthalmology 352
  • Reproductive Medicine 264
  • Radiology, Nuclear Medicine and Imaging 498
  • Behavioral Neuroscience 70
Replace Marian Ludgate with:
Marian Ludgate United Kingdom
Beata Kos‐Kudła Poland
Takashi Sugiyama Japan
Jacques Orgiazzi France
Norihiko Takeda Japan
Thomas Heiberg Brix Denmark
J. M. McKenzie Canada
Carolien Panhuysen United States
Dagmar Führer Germany
Vanessa Y. Tan United Kingdom
Stephen Nussey relative to Marian Ludgate United Kingdom Marian Ludgate's profile →
Citations per field
00.5×2.7×
Marian Ludgate · 1×
Citations per year

Countries citing papers authored by Stephen Nussey

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Nussey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202019
2 201152
3 201010
4 20085
5 200417
6 20045
7
Ovarian follicle culture: an old technique revisited
20031
8
1,25-Dihydroxyvitamin D3 has a direct effect on steroid production from human theca cells
20032
9 20012
10 199936
11 19983
12 199421
13 199318
14 1993249
15 19912
16 199019
17 199011
18 19905
19 19902
20 198956

About Stephen Nussey

Stephen Nussey is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 65 papers that have together received 2.5k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (6 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Genetic Syndromes and Imprinting (5 papers), Retinal Imaging and Analysis (5 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Retinal Diseases and Treatments (4 papers) and Stress Responses and Cortisol (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (708 citations), Ophthalmology (352 citations), Reproductive Medicine (264 citations), Radiology, Nuclear Medicine and Imaging (498 citations) and Behavioral Neuroscience (70 citations). Stephen Nussey has collaborated with scholars based in United Kingdom, Canada and Netherlands. Frequent co-authors include S. A. Whitehead, Guy Whitley, D. Holden, Mehdi Stiti, Alan P. Johnstone, Sara A. Fickling, David Usher, Tom H. Williamson, J.F. Boyce and S. Ashley. Their work appears in journals such as Clinical Endocrinology, Molecular and Cellular Endocrinology, Diabetic Medicine, Biochemical Society Transactions and 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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