Jennifer A. Tracy

70 total papers · 1.4k total citations
45 papers, 953 citations indexed

About

Jennifer A. Tracy is a scholar working on Neurology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jennifer A. Tracy has authored 45 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Neurology, 15 papers in Molecular Biology and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jennifer A. Tracy's work include Peripheral Neuropathies and Disorders (13 papers), Hereditary Neurological Disorders (9 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers). Jennifer A. Tracy is often cited by papers focused on Peripheral Neuropathies and Disorders (13 papers), Hereditary Neurological Disorders (9 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (7 papers). Jennifer A. Tracy collaborates with scholars based in United States, Australia and Israel. Jennifer A. Tracy's co-authors include J. D. Bartleson, P. James B. Dyck, Andrew McKeon, Peter James Dyck, Margherita Milone, Teerin Liewluck, JaNean Engelstad, Kimberly K. Amrami, Stefan Nicolau and Robert J. Spinner and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and The Lancet Neurology.

In The Last Decade

Jennifer A. Tracy

43 papers receiving 921 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 A. Tracy 399 262 229 187 175 45 953
Alessandro Lozza 638 1.6× 257 1.0× 200 0.9× 220 1.2× 203 1.2× 47 1.1k
Tsutomu Yanagi 592 1.5× 257 1.0× 211 0.9× 202 1.1× 284 1.6× 49 1.2k
W. Burkert 275 0.7× 430 1.6× 289 1.3× 111 0.6× 208 1.2× 48 1.1k
Brandon A. Miller 385 1.0× 174 0.7× 227 1.0× 236 1.3× 244 1.4× 63 1.2k
David A. Chad 523 1.3× 152 0.6× 110 0.5× 222 1.2× 252 1.4× 55 1.1k
N. de Tribolet 384 1.0× 347 1.3× 191 0.8× 113 0.6× 158 0.9× 41 1.0k
Lucia Monti 229 0.6× 152 0.6× 107 0.5× 186 1.0× 97 0.6× 50 1.1k
Brian A. Crum 691 1.7× 258 1.0× 85 0.4× 161 0.9× 210 1.2× 54 1.2k
Jonathan Riley 370 0.9× 220 0.8× 168 0.7× 367 2.0× 251 1.4× 45 1.2k
Gary Schwartzbauer 228 0.6× 278 1.1× 240 1.0× 282 1.5× 69 0.4× 54 1.1k

Countries citing papers authored by Jennifer A. Tracy

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. Tracy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer A. Tracy

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

All Works

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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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