Scott E. Nelson

1.1k citations
22 papers · 948 · h-index 17

Impact in

Papers in

Scott E. Nelson

22 papers receiving 927 citations

Peers

Scott E. Nelson
Comparison fields: 5 of 82
  • Reproductive Medicine 243
  • Agronomy and Crop Science 124
  • Genetics 292
  • Cellular and Molecular Neuroscience 188
  • Endocrine and Autonomic Systems 60
Replace Kei-ichiro Maeda with:
Kei-ichiro Maeda Japan
D. Gourdji France
Fred A. Dijcks Netherlands
Sophia V. Drouva France
M. Caldani France
Maïthé Corbani France
Hanne M. Hoffmann United States
Nicola Romanò United Kingdom
Michael J. Skynner United Kingdom
Katrine West United Kingdom
Scott E. Nelson relative to Kei-ichiro Maeda Japan Kei-ichiro Maeda's profile →
Citations per field
00.5×1.6×
Kei-ichiro Maeda · 1×
Citations per year

Countries citing papers authored by Scott E. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Scott E. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott E. Nelson. 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 Scott E. Nelson. The network helps show where Scott E. Nelson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003115
2 2002105
3 199787
4 199476
5 199774
6 199273
7 200150
8 200348
9 199548
10 199946
11 200444
12 199735
13 200134
14 199934
15 200118
16 199216
17 199216
18 200615
19 19926
20 19865

About Scott E. Nelson

Scott E. Nelson is a scholar working on Molecular Biology, Reproductive Medicine, Agronomy and Crop Science, Genetics and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 948 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (6 papers), Reproductive Physiology in Livestock (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Reproductive System and Pregnancy (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Plant Reproductive Biology (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Reproductive Medicine (243 citations), Agronomy and Crop Science (124 citations), Genetics (292 citations), Cellular and Molecular Neuroscience (188 citations) and Endocrine and Autonomic Systems (60 citations). Scott E. Nelson has collaborated with scholars based in United States and Canada. Frequent co-authors include Colin M. Clay, Dawn L. Duval, Geula Gibori, Kathy R. Magnusson, Anne B. Young, Mark McLean, Deborah A. Roess, B. George Barisas, Kenneth Escudero and Buffy S. Ellsworth. Their work appears in journals such as Endocrinology, Biology of Reproduction, Molecular Endocrinology, Molecular and Cellular Endocrinology and Biochemical and Biophysical Research Communications.

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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