Scott E. Nelson

1.1k citations
22 papers · 1.0k · h-index 17

Impact in

Papers in

Scott E. Nelson

22 papers receiving 972 citations

Peers

Scott E. Nelson
Comparison fields: 5 of 83
  • Reproductive Medicine 272
  • Agronomy and Crop Science 137
  • Genetics 313
  • Cellular and Molecular Neuroscience 201
  • Endocrine and Autonomic Systems 69
Replace Kei-ichiro Maeda with:
Kei-ichiro Maeda Japan
Sophia V. Drouva France
D. Gourdji France
Fred A. Dijcks Netherlands
Maïthé Corbani France
B Flerkó Hungary
M. Caldani France
Kyungjin Kim South Korea
Hanne M. Hoffmann United States
Roberto Yunes Argentina
Scott E. Nelson relative to Kei-ichiro Maeda Japan Kei-ichiro Maeda's profile →
Citations per field
00.5×1.7×
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 2003120
2 2002110
3 199795
4 199489
5 199279
6 199777
7 200155
8 200352
9 199950
10 199550
11 200445
12 199938
13 199736
14 200135
15 199219
16 199218
17 200118
18 200615
19 19927
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 1.0k 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 (272 citations), Agronomy and Crop Science (137 citations), Genetics (313 citations), Cellular and Molecular Neuroscience (201 citations) and Endocrine and Autonomic Systems (69 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, Anne B. Young, Kathy R. Magnusson, Mark McLean, B. George Barisas, Deborah A. Roess, Buffy S. Ellsworth and Constance T. Albarracin. Their work appears in journals such as Endocrinology, Biology of Reproduction, Molecular and Cellular Endocrinology, Molecular Endocrinology and Endocrine Research.

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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