Clarissa C. Parker

2.4k citations
39 papers · 1.6k indexed · h-index 22

Clarissa C. Parker

37 papers receiving 1.6k citations

Peers

Clarissa C. Parker
Comparison fields: 5 of 100
  • Behavioral Neuroscience 282
  • Biological Psychiatry 72
  • Cellular and Molecular Neuroscience 365
  • Social Psychology 305
  • Clinical Psychology 301
Replace Jeffrey C. Long with:
Jeffrey C. Long United States
Takeshi Otowa Japan
Melanie P. Leussis United States
Johnny S.W. Chan United States
Aubin Michalon Switzerland
Virginia L. Willour United States
Frans Sluyter Netherlands
Tadashi Umekage Japan
Nicola M. Grissom United States
Brett D. Dufour United States
Clarissa C. Parker relative to Jeffrey C. Long United States Jeffrey C. Long's profile →
Citations per field
00.5×1.5×2.2×
Jeffrey C. Long · 1×
Citations per year

Countries citing papers authored by Clarissa C. Parker

Since Specialization
Citations

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

Fields of papers citing papers by Clarissa C. Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clarissa C. Parker. 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 Clarissa C. Parker. The network helps show where Clarissa C. Parker may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20223
3 20218
4 201939
5 201810
6 20157
7 20138
8 201365
9 2013103
10 201311
11 20126
12 20123
13 201122
14 201143
15 201126
16 201136
17 2004276
18 2003192
19 199716
20 19942

About Clarissa C. Parker

Clarissa C. Parker is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (15 papers), Neurotransmitter Receptor Influence on Behavior (10 papers), Genetic and phenotypic traits in livestock (9 papers), Stress Responses and Cortisol (6 papers), Genetic Associations and Epidemiology (6 papers), Lysosomal Storage Disorders Research (4 papers), Adipose Tissue and Metabolism (4 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Behavioral Neuroscience (282 citations), Biological Psychiatry (72 citations) and Cellular and Molecular Neuroscience (365 citations). Clarissa C. Parker has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Abraham A. Palmer, David Goldman, Timothy K. Newman, Stephen J. Suomi, Christina S. Barr, J. Dee Higley, Klaus‐Peter Lesch, Michelle Becker, Riyan Cheng and Greta Sokoloff. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics and SHILAP Revista de lepidopterología.

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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