Jeffrey Sevigny

27 total papers · 1.4k total citations
17 papers, 867 citations indexed

About

Jeffrey Sevigny is a scholar working on Physiology, Psychiatry and Mental health and Molecular Biology. According to data from OpenAlex, Jeffrey Sevigny has authored 17 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 5 papers in Psychiatry and Mental health and 3 papers in Molecular Biology. Recurrent topics in Jeffrey Sevigny's work include Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (5 papers) and HIV Research and Treatment (3 papers). Jeffrey Sevigny is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Dementia and Cognitive Impairment Research (5 papers) and HIV Research and Treatment (3 papers). Jeffrey Sevigny collaborates with scholars based in United States, Switzerland and United Kingdom. Jeffrey Sevigny's co-authors include Harald Hampel, Holly Soares, Tobias Bittner, Scott Ayton, Gary Tong, Sid E. O’Bryant, Martin M. Bednar, Philip Scheltens, Kaj Blennow and José Luís Molinuevo and has published in prestigious journals such as Neurology, Schizophrenia Bulletin and Acta Neuropathologica.

In The Last Decade

Jeffrey Sevigny

15 papers receiving 850 citations

Hit Papers

Current state of Alzheime... 2018 2026 2020 2023 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Jeffrey Sevigny 351 255 225 163 152 17 867
Yann Cobigo 240 0.7× 227 0.9× 115 0.5× 179 1.1× 99 0.7× 35 818
Manu Hegde 316 0.9× 410 1.6× 57 0.3× 98 0.6× 165 1.1× 21 1.0k
M. P. Grassi 80 0.2× 119 0.5× 117 0.5× 95 0.6× 75 0.5× 22 793
Benchawanna Soontornniyomkij 126 0.4× 58 0.2× 353 1.6× 181 1.1× 169 1.1× 31 732
Craig E. Hou 262 0.7× 281 1.1× 38 0.2× 117 0.7× 68 0.4× 15 748
Jewell B. Thomas 167 0.5× 206 0.8× 144 0.6× 48 0.3× 51 0.3× 11 878
Claire Collins 227 0.6× 111 0.4× 43 0.2× 162 1.0× 131 0.9× 33 1.1k
R. Maleßa 185 0.5× 65 0.3× 45 0.2× 79 0.5× 84 0.6× 30 984
Huaihou Chen 104 0.3× 161 0.6× 41 0.2× 55 0.3× 93 0.6× 35 982
Matthew Butler 182 0.5× 126 0.5× 56 0.2× 22 0.1× 219 1.4× 40 755

Countries citing papers authored by Jeffrey Sevigny

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Sevigny

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Sevigny

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Sevigny. A scholar is included among the top collaborators of Jeffrey Sevigny 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 Jeffrey Sevigny. Jeffrey Sevigny 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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