Aubrey M. Schonhoff

1.0k citations
8 papers · 685 indexed · 1 hit paper · h-index 8
Topics
Parkinson's Disease Mechanisms and Treatments (6 papers)Neuroinflammation and Neurodegeneration Mechanisms (5 papers)Nerve injury and regeneration (2 papers)
Partner nations
United States

In The Last Decade

Aubrey M. Schonhoff

8 papers receiving 669 citations

Hit Papers

CD4 T cells mediate brain inflammation and neurodegenerat...2021202620222024202150100150

Peers

Aubrey M. Schonhoff
Comparison fields: 5 of 79
  • Neurology 401
  • Neurology 395
  • Cellular and Molecular Neuroscience 219
  • Molecular Biology 188
  • Physiology 147
Replace Gregory P. Williams with:
Gregory P. Williams United States
Ruth E. Musgrove Germany
Nataša Kuštrimović Serbia
Mariana Temido‐Ferreira Portugal
Karlijn J. Doorn Netherlands
Inês Marques-Morgado Portugal
Sara A. Ferreira Denmark
María Eugenia Bernis Germany
Lauriane Ramet Canada
Somin Kwon United States
Aubrey M. Schonhoff relative to Gregory P. Williams United States Gregory P. Williams's profile →
Citations per field
00.5×1.5×
Gregory P. Williams · 1×
Citations per year

Countries citing papers authored by Aubrey M. Schonhoff

Since Specialization
Citations

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

Fields of papers citing papers by Aubrey M. Schonhoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aubrey M. Schonhoff. 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 Aubrey M. Schonhoff. The network helps show where Aubrey M. Schonhoff may publish in the future.

Co-authorship network of co-authors of Aubrey M. Schonhoff

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 65
2 37
3
CD4 T cells mediate brain inflammation and neurodegeneration in a mouse model of Parkinson's diseasebreakdown →
196
4 70
5 79
6 62
7 8
8 168

About Aubrey M. Schonhoff

Aubrey M. Schonhoff is a scholar working on Neurology, Neurology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 685 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Nerve injury and regeneration (2 papers). The work is most often cited by research in Neurology (401 citations), Neurology (395 citations) and Biological Psychiatry (57 citations). Aubrey M. Schonhoff has collaborated with scholars based in United States. Frequent co-authors include Gregory P. Williams, Ashley S. Harms, David G. Standaert, Asta Jurkuvenaite, Aaron D. Thome, John W. Bostick, Sarkis K. Mazmanian, Etty Benveniste, Xinru Li and Yudong Liu. Their work appears in journals such as Brain, Experimental Neurology and Acta Neuropathologica.

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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