Charles S. Nicoll

5.9k citations
147 papers · 4.3k indexed · h-index 36

Charles S. Nicoll

144 papers receiving 4.0k citations

Peers

Charles S. Nicoll
Comparison fields: 5 of 109
  • Endocrinology, Diabetes and Metabolism 2.1k
  • Physiology 324
  • Reproductive Medicine 589
  • Aquatic Science 393
  • Behavioral Neuroscience 169
Replace S. Harvey with:
S. Harvey Canada
M. Reinecke Switzerland
Kazutoshi Yamamoto Japan
M.P. Dubois France
N. S. Halmi United States
Yayoi Ikeda Japan
Judy A. King South Africa
Gloria V. Callard United States
Michael Wallis United Kingdom
Bon‐chu Chung Taiwan
Charles S. Nicoll relative to S. Harvey Canada S. Harvey's profile →
Citations per field
00.5×1.5×2.5×
S. Harvey · 1×
Citations per year

Countries citing papers authored by Charles S. Nicoll

Since Specialization
Citations

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

Fields of papers citing papers by Charles S. Nicoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 19968
3 19958
4 199414
5 19940
6 19934
7 19933
8 199325
9 19922
10 19923
11
Use of transplanted mammalian embryos and fetal structures to analyze the role of hormones and growth factors in the regulation of growth and differentiation
19914
12 19912
13 199124
14 19913
15 198939
16 198920
17 198859
18 19877
19 196639
20 196522

About Charles S. Nicoll

Charles S. Nicoll is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Reproductive Medicine, having authored 147 papers that have together received 4.3k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (80 papers), Birth, Development, and Health (25 papers), Hypothalamic control of reproductive hormones (16 papers), Physiological and biochemical adaptations (10 papers), Cancer, Hypoxia, and Metabolism (9 papers), Pancreatic function and diabetes (9 papers), Aquaculture Nutrition and Growth (9 papers) and Pregnancy and preeclampsia studies (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Physiology (324 citations) and Reproductive Medicine (589 citations). Charles S. Nicoll has collaborated with scholars based in United States, Japan and Russia. Frequent co-authors include Sharon M. Russell, Howard A. Bern, J. Meites, G Mayer, Eugenio Spencer, C. W. Nichols, Richard C. Strohman, Gisela K. Clemons, Paul Licht and P. K. Talwalker. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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