Susan M. Schwartz

1.9k citations
28 papers · 1.5k indexed · 1 hit paper · h-index 17

Susan M. Schwartz

26 papers receiving 1.3k citations

Hit Papers

The action of γ-Aminobutyric acid on cortical neurones4921967202619862006100200300400

Peers

Susan M. Schwartz
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 836
  • Endocrine and Autonomic Systems 145
  • Behavioral Neuroscience 54
  • Developmental Neuroscience 52
  • Developmental Biology 27
Replace Lawrence G. Sharpe with:
Lawrence G. Sharpe United States
L.J. Herberg United Kingdom
Thomas P. Jerussi United States
Roberto Stancampiano Italy
Masahiro Shibasaki Japan
Alexander Jakubovič Canada
L. Churchill United States
Sheldon B. Sparber United States
M.E. Gibbs Australia
I.C. Kilpatrick United Kingdom
Susan M. Schwartz relative to Lawrence G. Sharpe United States Lawrence G. Sharpe's profile →
Citations per field
00.5×1.6×
Lawrence G. Sharpe · 1×
Citations per year

Countries citing papers authored by Susan M. Schwartz

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Schwartz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Schwartz. 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 Susan M. Schwartz. The network helps show where Susan M. Schwartz may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20210
2 20180
3 201133
4 200823
5 199284
6 198840
7 198831
8 198723
9 198616
10 198411
11 198444
12 19837
13 19836
14 198218
15 19811
16 19801
17 1967178
18
The action of γ-Aminobutyric acid on cortical neuronesbreakdown →
1967492
19 1967164
20 1966100

About Susan M. Schwartz

Susan M. Schwartz is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Animal Science and Zoology, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pharmacology and Obesity Treatment (5 papers), Stress Responses and Cortisol (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Regulation of Appetite and Obesity (4 papers), Adipose Tissue and Metabolism (3 papers), Animal Nutrition and Physiology (3 papers), Primate Behavior and Ecology (3 papers) and Motor Control and Adaptation (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (836 citations), Endocrine and Autonomic Systems (145 citations) and Behavioral Neuroscience (54 citations). Susan M. Schwartz has collaborated with scholars based in United States, Canada and Puerto Rico. Frequent co-authors include K. Krnjević, Alberto Galindo, Joseph W. Kemnitz, George N. Wade, Margaret L. Walker, Michelle Wilson, Jeffrey D. Blaustein, Paul I. Musey, Delwood C. Collins and Charles F. Howard. Their work appears in journals such as American Journal of Primatology, Experimental Brain Research, American Journal of Physical Anthropology, Endocrinology and Obesity.

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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