Lynette G. Sheffield

11 total papers · 503 total citations
8 papers, 419 citations indexed

About

Lynette G. Sheffield is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Lynette G. Sheffield has authored 8 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Lynette G. Sheffield's work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Nuclear Structure and Function (3 papers) and Epilepsy research and treatment (2 papers). Lynette G. Sheffield is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Nuclear Structure and Function (3 papers) and Epilepsy research and treatment (2 papers). Lynette G. Sheffield collaborates with scholars based in United States and Italy. Lynette G. Sheffield's co-authors include Nancy E.J. Berman, Janet Marquis, Suzanne S. Mirra, Ruben Kuzniecky, Nándor Ludvig, Orrin Devinsky, Hai Tang, Hans von Gizycki, Paul D. Cheney and Opendra Narayan and has published in prestigious journals such as Brain Research, The FASEB Journal and Neurobiology of Aging.

In The Last Decade

Lynette G. Sheffield

8 papers receiving 411 citations

Author Peers

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

Author Last Decade Papers Cites
Lynette G. Sheffield 242 140 138 104 65 8 419
Lubov Ezerskiy 148 0.6× 136 1.0× 157 1.1× 82 0.8× 50 0.8× 9 449
Anna Podlesny‐Drabiniok 139 0.6× 155 1.1× 149 1.1× 63 0.6× 50 0.8× 9 383
Shao Xia Lin 163 0.7× 143 1.0× 73 0.5× 63 0.6× 64 1.0× 9 465
Tomer Illouz 193 0.8× 123 0.9× 174 1.3× 85 0.8× 60 0.9× 14 480
Oscar Manouchehrian 257 1.1× 99 0.7× 87 0.6× 87 0.8× 91 1.4× 7 428
Roshni Desai 186 0.8× 130 0.9× 115 0.8× 53 0.5× 64 1.0× 8 439
Christina E. Toomey 201 0.8× 113 0.8× 186 1.3× 63 0.6× 71 1.1× 15 397
Çiğdem Acıoğlu 163 0.7× 120 0.9× 103 0.7× 61 0.6× 78 1.2× 11 416
Vanessa Giuliano 264 1.1× 127 0.9× 193 1.4× 61 0.6× 74 1.1× 7 492
Francisca Cornejo 162 0.7× 151 1.1× 157 1.1× 85 0.8× 75 1.2× 15 460

Countries citing papers authored by Lynette G. Sheffield

Since Specialization
Citations

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

Fields of papers citing papers by Lynette G. Sheffield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lynette G. Sheffield. 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 Lynette G. Sheffield. The network helps show where Lynette G. Sheffield may publish in the future.

Co-authorship network of co-authors of Lynette G. Sheffield

This figure shows the co-authorship network connecting the top 25 collaborators of Lynette G. Sheffield. A scholar is included among the top collaborators of Lynette G. Sheffield 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 Lynette G. Sheffield. Lynette G. Sheffield 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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