Tonya Taylor

2.8k citations
61 papers · 1.7k · h-index 23

Impact in

  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neuroscience and Neuropharmacology Research
    • Nerve injury and regeneration
    • Nuclear Receptors and Signaling

Papers in

Tonya Taylor

58 papers receiving 1.6k citations

Peers

Tonya Taylor
Comparison fields: 5 of 118
  • Neurology 574
  • Cellular and Molecular Neuroscience 506
  • Infectious Diseases 337
  • Biological Psychiatry 34
  • Neurology 116
Replace Stephen E. Karpiak with:
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Citations per field
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Citations per year

Countries citing papers authored by Tonya Taylor

Since Specialization
Citations

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

Fields of papers citing papers by Tonya Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007306
2 2013252
3 2010151
4 201184
5 201352
6 202046
7 201342
8 201242
9 201039
10 201739
11 202339
12 201639
13 201337
14 201935
15 201431
16 202030
17 202026
18 200225
19 201525
20 202123

About Tonya Taylor

Tonya Taylor is a scholar working on Infectious Diseases, General Health Professions, Sociology and Political Science, Epidemiology and Emergency Medicine, having authored 61 papers that have together received 1.7k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (26 papers), Adolescent Sexual and Reproductive Health (12 papers), HIV, Drug Use, Sexual Risk (11 papers), HIV-related health complications and treatments (10 papers), Parkinson's Disease Mechanisms and Treatments (6 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Criminal Justice and Corrections Analysis (3 papers). The work is most often cited by research in Neurology (574 citations), Cellular and Molecular Neuroscience (506 citations), Infectious Diseases (337 citations), Biological Psychiatry (34 citations) and Neurology (116 citations). Tonya Taylor has collaborated with scholars based in United States, United Kingdom and Türkiye. Frequent co-authors include Gary W. Miller, W. Michael Caudle, James G. Greene, Thomas S. Guillot, Donato A. Di Monte, Piers C. Emson, Jason R. Richardson, Alison L. McCormack, Pamela Valera and Richard Wade‐Martins. Their work appears in journals such as Innovation in Aging, Open Forum Infectious Diseases, Journal of Women s Health, Clinical Infectious Diseases and Journal of American Folklore.

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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