Phoebe A. Winn

11 total papers · 1.8k total citations
6 papers, 344 citations indexed

About

Phoebe A. Winn is a scholar working on Neurology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Phoebe A. Winn has authored 6 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Phoebe A. Winn's work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Inflammation biomarkers and pathways (2 papers) and Nuclear Receptors and Signaling (2 papers). Phoebe A. Winn is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Inflammation biomarkers and pathways (2 papers) and Nuclear Receptors and Signaling (2 papers). Phoebe A. Winn collaborates with scholars based in United States and Slovakia. Phoebe A. Winn's co-authors include Philip L. De Jager, Elizabeth M. Bradshaw, Gail Chan, David A. Bennett, Joseph M. Replogle, Maria Cimpean, Lori B. Chibnik, Charles C. White, Reisa A. Sperling and Julie A. Schneider and has published in prestigious journals such as Nature Neuroscience, Annals of Neurology and Science Translational Medicine.

In The Last Decade

Phoebe A. Winn

6 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
Phoebe A. Winn	205	125	117	78	40	6	344
Elisa Faggiani	233 1.1×	137 1.1×	76 0.6×	86 1.1×	48 1.2×	7	381
Elisabetta Prat	163 0.8×	114 0.9×	138 1.2×	97 1.2×	16 0.4×	7	364
Omer Berner	167 0.8×	179 1.4×	101 0.9×	92 1.2×	20 0.5×	7	389
Kristine E. Zengeler	211 1.0×	102 0.8×	90 0.8×	94 1.2×	16 0.4×	8	366
Ellen Boelen	241 1.2×	120 1.0×	123 1.1×	89 1.1×	29 0.7×	4	374
Helena C. Brigas	180 0.9×	158 1.3×	67 0.6×	60 0.8×	25 0.6×	5	376
Emilia A. Gaviglio	168 0.8×	103 0.8×	55 0.5×	113 1.4×	36 0.9×	8	378
Begoña Fernández-Díez	106 0.5×	111 0.9×	42 0.4×	102 1.3×	27 0.7×	6	353
Xiaodong Hua	142 0.7×	102 0.8×	45 0.4×	155 2.0×	48 1.2×	9	398
Helen Crehan	150 0.7×	64 0.5×	213 1.8×	92 1.2×	17 0.4×	5	306

Countries citing papers authored by Phoebe A. Winn

Since Specialization

Citations

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

Fields of papers citing papers by Phoebe A. Winn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phoebe A. Winn. 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 Phoebe A. Winn. The network helps show where Phoebe A. Winn may publish in the future.

Co-authorship network of co-authors of Phoebe A. Winn

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