Tracy D. Farr

94 total papers · 2.3k total citations
46 papers, 1.4k citations indexed

About

Tracy D. Farr is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Tracy D. Farr has authored 46 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 12 papers in Epidemiology and 9 papers in Molecular Biology. Recurrent topics in Tracy D. Farr's work include Acute Ischemic Stroke Management (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Neurological Disease Mechanisms and Treatments (7 papers). Tracy D. Farr is often cited by papers focused on Acute Ischemic Stroke Management (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers) and Neurological Disease Mechanisms and Treatments (7 papers). Tracy D. Farr collaborates with scholars based in Germany, United Kingdom and United States. Tracy D. Farr's co-authors include Ian Q. Whishaw, Mathias Hoehn, Ulrich Dirnagl, Marietta Zille, Gerlinde A. S. Metz, Susanne Wegener, Philipp Boehm‐Sturm, H Carswell, Lily Liu and Dirk Wiedermann and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Tracy D. Farr

44 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Tracy D. Farr 441 302 266 231 214 46 1.4k
Maureen Walberer 590 1.3× 352 1.2× 246 0.9× 342 1.5× 324 1.5× 33 1.5k
Jérôme Toutain 485 1.1× 409 1.4× 218 0.8× 213 0.9× 212 1.0× 44 1.5k
İlknur Ay 568 1.3× 303 1.0× 218 0.8× 135 0.6× 90 0.4× 51 1.6k
Thomas Ringer 253 0.6× 422 1.4× 198 0.7× 204 0.9× 236 1.1× 29 1.3k
Jos Van Reempts 289 0.7× 304 1.0× 430 1.6× 380 1.6× 167 0.8× 38 1.2k
Xiquan Hu 558 1.3× 250 0.8× 201 0.8× 112 0.5× 101 0.5× 61 1.1k
Warren Boling 506 1.1× 323 1.1× 434 1.6× 290 1.3× 206 1.0× 61 1.8k
Saeid Taheri 601 1.4× 303 1.0× 161 0.6× 298 1.3× 231 1.1× 42 1.5k
Lora Talley Watts 303 0.7× 709 2.3× 469 1.8× 327 1.4× 237 1.1× 39 1.8k
T Yamaguchi 280 0.6× 256 0.8× 431 1.6× 299 1.3× 155 0.7× 27 1.2k

Countries citing papers authored by Tracy D. Farr

Since Specialization
Citations

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

Fields of papers citing papers by Tracy D. Farr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tracy D. Farr

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy D. Farr. A scholar is included among the top collaborators of Tracy D. Farr 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 Tracy D. Farr. Tracy D. Farr 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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