Cassandra M. Wilkinson

20 total papers · 605 total citations
17 papers, 466 citations indexed

About

Cassandra M. Wilkinson is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Cassandra M. Wilkinson has authored 17 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 6 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in Cassandra M. Wilkinson's work include Intracerebral and Subarachnoid Hemorrhage Research (12 papers), Neurosurgical Procedures and Complications (9 papers) and Acute Ischemic Stroke Management (6 papers). Cassandra M. Wilkinson is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (12 papers), Neurosurgical Procedures and Complications (9 papers) and Acute Ischemic Stroke Management (6 papers). Cassandra M. Wilkinson collaborates with scholars based in Canada, United States and South Korea. Cassandra M. Wilkinson's co-authors include Frederick Colbourne, Kristen Dietrich, John T. Pinto, David Brand, Victor Darley‐Usmar, Domenico Praticò, Rajiv R. Ratan, Stephanie Sanchez, Ginger L. Milne and Giovanni Coppola and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Stroke.

In The Last Decade

Cassandra M. Wilkinson

17 papers receiving 462 citations

Author Peers

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

Author Last Decade Papers Cites
Cassandra M. Wilkinson 181 168 156 107 89 17 466
Yun Fan 179 1.0× 190 1.1× 58 0.4× 113 1.1× 45 0.5× 29 500
Xiaoyang Lu 84 0.5× 230 1.4× 165 1.1× 125 1.2× 39 0.4× 19 519
Emin Fidan 108 0.6× 220 1.3× 159 1.0× 106 1.0× 67 0.8× 11 469
Tsuneo Kano 139 0.8× 88 0.5× 92 0.6× 55 0.5× 176 2.0× 30 461
Li Bie 178 1.0× 210 1.3× 82 0.5× 83 0.8× 64 0.7× 29 551
Jianning Zhang 76 0.4× 184 1.1× 67 0.4× 32 0.3× 55 0.6× 24 531
Huimin Dong 77 0.4× 260 1.5× 63 0.4× 101 0.9× 30 0.3× 23 528
Manman Zhao 101 0.6× 234 1.4× 64 0.4× 99 0.9× 124 1.4× 14 436
Jinsong Jiao 124 0.7× 162 1.0× 37 0.2× 43 0.4× 37 0.4× 30 455
Gui Zhang 64 0.4× 238 1.4× 50 0.3× 136 1.3× 29 0.3× 25 504

Countries citing papers authored by Cassandra M. Wilkinson

Since Specialization
Citations

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

Fields of papers citing papers by Cassandra M. Wilkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cassandra M. Wilkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Cassandra M. Wilkinson. A scholar is included among the top collaborators of Cassandra M. Wilkinson 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 Cassandra M. Wilkinson. Cassandra M. Wilkinson 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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