Jennifer Trevitt

19 total papers · 736 total citations
17 papers, 621 citations indexed

About

Jennifer Trevitt is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Jennifer Trevitt has authored 17 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 9 papers in Neurology and 2 papers in Molecular Biology. Recurrent topics in Jennifer Trevitt's work include Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (7 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Jennifer Trevitt is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (8 papers), Neurological disorders and treatments (7 papers) and Neurotransmitter Receptor Influence on Behavior (6 papers). Jennifer Trevitt collaborates with scholars based in United States. Jennifer Trevitt's co-authors include John D. Salamone, Michael S. Cousins, Arthur J. Mayorga, Brian B. Carlson, A. Atherton, J. Aberman, Gerald Gianutsos, Mercè Correa, Keita Ishiwari and Susana Mingote and has published in prestigious journals such as Brain Research, Neuroscience and Progress in Neurobiology.

In The Last Decade

Jennifer Trevitt

17 papers receiving 616 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer Trevitt 444 277 136 80 70 17 621
G. Schingnitz 348 0.8× 315 1.1× 124 0.9× 91 1.1× 41 0.6× 17 702
Rodolfo Silveira 480 1.1× 190 0.7× 177 1.3× 212 2.6× 43 0.6× 26 779
Brian B. Carlson 550 1.2× 137 0.5× 215 1.6× 196 2.5× 52 0.7× 11 720
Kevin Chen 267 0.6× 157 0.6× 224 1.6× 35 0.4× 31 0.4× 13 569
Fernando E. Padovan‐Neto 424 1.0× 340 1.2× 200 1.5× 36 0.5× 33 0.5× 37 733
Anna Wisniecki 473 1.1× 121 0.4× 162 1.2× 162 2.0× 87 1.2× 9 660
Joana I. Real 275 0.6× 119 0.4× 151 1.1× 45 0.6× 245 3.5× 17 660
Sanna K. Janhunen 434 1.0× 114 0.4× 272 2.0× 75 0.9× 17 0.2× 20 701
Wai Kin D. Ko 329 0.7× 301 1.1× 178 1.3× 79 1.0× 50 0.7× 14 617
Robert C. Boldry 630 1.4× 414 1.5× 201 1.5× 77 1.0× 17 0.2× 19 749

Countries citing papers authored by Jennifer Trevitt

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Trevitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Trevitt

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Trevitt. A scholar is included among the top collaborators of Jennifer Trevitt 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 Jennifer Trevitt. Jennifer Trevitt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026