Clarissa C. Parker
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Genetics top 5%
- Physiology top 10%
- Social Psychology top 5%
- Co-authors
- Abraham A. PalmerDavid GoldmanTimothy K. NewmanStephen J. SuomiChristina S. BarrJ. Dee HigleyKlaus‐Peter LeschMichelle Becker
- Topics
- 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)
- Journals
- Proceedings of the National Academy of SciencesNature GeneticsSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Clarissa C. Parker
37 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 391
- Cellular and Molecular Neuroscience 365
- Genetics 363
- Physiology 312
- Social Psychology 305
Countries citing papers authored by Clarissa C. Parker
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
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 of co-authors of Clarissa C. Parker
This figure shows the co-authorship network connecting the top 25 collaborators of Clarissa C. Parker. A scholar is included among the top collaborators of Clarissa C. Parker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clarissa C. Parker. Clarissa C. Parker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 39 | |
| 5 | 10 | |
| 6 | 7 | |
| 7 | 8 | |
| 8 | 65 | |
| 9 | 103 | |
| 10 | 11 | |
| 11 | 6 | |
| 12 | 3 | |
| 13 | 22 | |
| 14 | 43 | |
| 15 | 26 | |
| 16 | 36 | |
| 17 | 276 | |
| 18 | 192 | |
| 19 | 16 | |
| 20 | 2 |
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) and Genetic and phenotypic traits in livestock (9 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.