Chadwick T. Davis

16 total papers · 750 total citations
7 papers, 373 citations indexed

About

Chadwick T. Davis is a scholar working on Molecular Biology, Neurology and Epidemiology. According to data from OpenAlex, Chadwick T. Davis has authored 7 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Neurology and 2 papers in Epidemiology. Recurrent topics in Chadwick T. Davis's work include Vascular Malformations Diagnosis and Treatment (2 papers), S100 Proteins and Annexins (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). Chadwick T. Davis is often cited by papers focused on Vascular Malformations Diagnosis and Treatment (2 papers), S100 Proteins and Annexins (2 papers) and Intracranial Aneurysms: Treatment and Complications (2 papers). Chadwick T. Davis collaborates with scholars based in United States, China and India. Chadwick T. Davis's co-authors include Christopher C. Gibson, Dean Y. Li, Weiquan Zhu, Kirk R. Thomas, Allie H. Grossmann, Jay A. Bowman-Kirigin, Lise K. Sorensen, Ashley E. Walker, Ling Jing and Anthony J. Donato and has published in prestigious journals such as Nature, Circulation and The Journal of Immunology.

In The Last Decade

Chadwick T. Davis

7 papers receiving 369 citations

Author Peers

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

Author Last Decade Papers Cites
Chadwick T. Davis 106 105 67 61 41 7 373
Jay A. Bowman-Kirigin 98 0.9× 88 0.8× 118 1.8× 56 0.9× 39 1.0× 10 404
Julius A. Parker 104 1.0× 73 0.7× 53 0.8× 120 2.0× 43 1.0× 8 339
Mauro Dal Canto 118 1.1× 71 0.7× 62 0.9× 31 0.5× 54 1.3× 10 371
Yune-Jung Park 120 1.1× 38 0.4× 79 1.2× 27 0.4× 26 0.6× 14 392
Ana Mas 139 1.3× 48 0.5× 67 1.0× 34 0.6× 34 0.8× 12 340
Lydia Murray 213 2.0× 34 0.3× 63 0.9× 19 0.3× 63 1.5× 10 441
Fabien Richard 181 1.7× 27 0.3× 78 1.2× 22 0.4× 48 1.2× 5 410
Brendon Richbourgh 135 1.3× 70 0.7× 47 0.7× 42 0.7× 20 0.5× 7 358
Verna M. Lewis 62 0.6× 82 0.8× 130 1.9× 15 0.2× 23 0.6× 11 335
Luiz Ricardo C. Vasconcellos 179 1.7× 22 0.2× 63 0.9× 24 0.4× 69 1.7× 9 397

Countries citing papers authored by Chadwick T. Davis

Since Specialization
Citations

This map shows the geographic impact of Chadwick T. Davis'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 Chadwick T. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chadwick T. Davis more than expected).

Fields of papers citing papers by Chadwick T. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chadwick T. Davis. 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 Chadwick T. Davis. The network helps show where Chadwick T. Davis may publish in the future.

Co-authorship network of co-authors of Chadwick T. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Chadwick T. Davis. A scholar is included among the top collaborators of Chadwick T. Davis 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 Chadwick T. Davis. Chadwick T. Davis 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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