Eliot Stellar

63 papers receiving 4.5k citations

Eliot Stellar's Hit Papers

Progress in physiological psychology 1966 · 732 citations
7320+24+48Years since publication200400600

Peers

Eliot Stellar
Comparison fields: 5 of 160
  • Endocrine and Autonomic Systems 1.2k
  • Behavioral Neuroscience 273
  • Cognitive Neuroscience 1.5k
  • Cellular and Molecular Neuroscience 1.3k
  • Sensory Systems 338
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Philip Teitelbaum United States
Matthew J. Wayner United States
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Countries citing papers authored by Eliot Stellar

Since Specialization
Citations

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

Fields of papers citing papers by Eliot Stellar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Progress in physiological psychology
Hit paper breakdown →
1966732
2
The physiology of motivation.
Hit paper breakdown →
1954524
3 1963429
4 1952274
5 1964234
6 1986225
7 1985220
8 1954187
9 1961161
10 1975143
11 1962127
12 1989124
13 1989119
14 1951118
15
A NEUROANATOMICAL AND BEHAVIORAL ANALYSIS OF THE SYNDROMES RESULTING FROM MIDBRAIN LEMNISCAL AND RETICULAR LESIONS IN THE CAT.
1963116
16 1962114
17 1955112
18 1969107
19 1993104
20 1954101

About Eliot Stellar

Eliot Stellar is a scholar working on Endocrine and Autonomic Systems, Physiology, Clinical Psychology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 63 papers that have together received 5.3k indexed citations. Recurring topics across this work include Eating Disorders and Behaviors (6 papers), Diet and metabolism studies (6 papers), Adipose Tissue and Metabolism (5 papers), Regulation of Appetite and Obesity (5 papers), Sensory Analysis and Statistical Methods (4 papers), Memory and Neural Mechanisms (4 papers), Neuroendocrine regulation and behavior (3 papers) and Obesity, Physical Activity, Diet (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.2k citations), Behavioral Neuroscience (273 citations), Cognitive Neuroscience (1.5k citations), Cellular and Molecular Neuroscience (1.3k citations) and Sensory Systems (338 citations). Eliot Stellar has collaborated with scholars based in United States and China. Frequent co-authors include James M. Sprague, Louis B. Flexner, Josefa B. Flexner, J. Harry Hill, John D. Corbit, James R. Stellar, Theresa A. Spiegel, Philip Teitelbaum, M. R. C. Greenwood and W.W. Chambers. Their work appears in journals such as Physiology & Behavior, Appetite, Science, Psychological Review and American Psychologist.

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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