S. Ellis

52 papers receiving 1.7k citations

S. Ellis's Hit Papers

Radioimmunoassay for Rat Prolactin 1969 · 322 citations
3220+19+38Years since publication100200300

Peers

S. Ellis
Comparison fields: 5 of 108
  • Endocrinology, Diabetes and Metabolism 393
  • Behavioral Neuroscience 66
  • Cellular and Molecular Neuroscience 322
  • Reproductive Medicine 121
  • Physiology 334
Replace Bronwyn A. Evans with:
Bronwyn A. Evans Australia
Dirk Roosterman Germany
Judit Horváth United States
K J Collier United States
Susanne Fehr Germany
J L Vannice United States
Tśuyoshi Soji Japan
David L. Berliner United States
Stephen W. Spaulding United States
C. A. Schneyer United States
S. Ellis relative to Bronwyn A. Evans Australia Bronwyn A. Evans's profile →
Citations per field
00.5×1.7×
Bronwyn A. Evans · 1×
Citations per year

Countries citing papers authored by S. Ellis

Since Specialization
Citations

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

Fields of papers citing papers by S. Ellis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Radioimmunoassay for Rat Prolactin
Hit paper breakdown →
1969322
2 1969191
3 1990120
4 1992102
5 196898
6 196890
7 198279
8 197863
9
Polypeptide degradation by dipeptidyl aminopeptidase I /cathepsin C/ and related peptidases
197161
10 198460
11 195344
12 196938
13 200535
14 196632
15 198832
16 198429
17 196728
18 198727
19 196826
20 200623

About S. Ellis

S. Ellis is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Physiology, Cellular and Molecular Neuroscience and Oncology, having authored 52 papers that have together received 1.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (14 papers), Muscle Physiology and Disorders (7 papers), Peptidase Inhibition and Analysis (6 papers), Neuropeptides and Animal Physiology (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Muscle metabolism and nutrition (4 papers), T-cell and B-cell Immunology (4 papers) and Spaceflight effects on biology (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (393 citations), Behavioral Neuroscience (66 citations), Cellular and Molecular Neuroscience (322 citations), Reproductive Medicine (121 citations) and Physiology (334 citations). S. Ellis has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include J. Ken McDonald, Danny A. Riley, James Bain, Thomas J. Reilly, R. E. Grindeland, Benjamin B. Zeitman, G. D. Niswender, A. REES MIDGLEY, J. Meites and Glenn R. Slocum. Their work appears in journals such as Endocrinology, Experimental Biology and Medicine, Journal of Biological Chemistry, Journal of Histochemistry & Cytochemistry and Annals of the New York 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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