Delyth J. Goodwin

12 total papers · 420 total citations
12 papers, 385 citations indexed

About

Delyth J. Goodwin is a scholar working on Epidemiology, Oncology and Infectious Diseases. According to data from OpenAlex, Delyth J. Goodwin has authored 12 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Oncology and 2 papers in Infectious Diseases. Recurrent topics in Delyth J. Goodwin's work include Herpesvirus Infections and Treatments (11 papers), Cytomegalovirus and herpesvirus research (11 papers) and Viral-associated cancers and disorders (9 papers). Delyth J. Goodwin is often cited by papers focused on Herpesvirus Infections and Treatments (11 papers), Cytomegalovirus and herpesvirus research (11 papers) and Viral-associated cancers and disorders (9 papers). Delyth J. Goodwin collaborates with scholars based in United Kingdom, United States and Germany. Delyth J. Goodwin's co-authors include Adrian Whitehouse, Kersten T. Hall, Alex Markham, Alexander J. Stevenson, Mathew Giles, Michael A. Calderwood, James R. Boyne, Guillaume M. Hautbergue, Stuart A. Wilson and Mathias Thurau and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Biochemical Journal.

In The Last Decade

Delyth J. Goodwin

12 papers receiving 379 citations

Author Peers

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

Author Last Decade Papers Cites
Delyth J. Goodwin 280 266 72 63 53 12 385
Hyewon Byun 236 0.8× 232 0.9× 117 1.6× 53 0.8× 64 1.2× 14 426
Chad V. Kuny 172 0.6× 163 0.6× 125 1.7× 86 1.4× 44 0.8× 13 418
Adrienne L. McNees 123 0.4× 147 0.6× 101 1.4× 86 1.4× 87 1.6× 9 344
Lidia M. Martos 227 0.8× 271 1.0× 73 1.0× 152 2.4× 61 1.2× 15 433
John T. Stevens 343 1.2× 69 0.3× 74 1.0× 38 0.6× 106 2.0× 14 414
J Vieira 283 1.0× 175 0.7× 34 0.5× 102 1.6× 33 0.6× 10 364
Carolyn L. DiIanni 287 1.0× 49 0.2× 97 1.3× 60 1.0× 89 1.7× 9 414
Meei‐Li Huang 171 0.6× 65 0.2× 98 1.4× 115 1.8× 89 1.7× 16 369
Mikiko Kanamori 203 0.7× 204 0.8× 74 1.0× 32 0.5× 64 1.2× 12 385
C. Clay Flowers 277 1.0× 126 0.5× 40 0.6× 29 0.5× 56 1.1× 15 357

Countries citing papers authored by Delyth J. Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Delyth J. Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Delyth J. Goodwin. 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 Delyth J. Goodwin. The network helps show where Delyth J. Goodwin may publish in the future.

Co-authorship network of co-authors of Delyth J. Goodwin

This figure shows the co-authorship network connecting the top 25 collaborators of Delyth J. Goodwin. A scholar is included among the top collaborators of Delyth J. Goodwin 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 Delyth J. Goodwin. Delyth J. Goodwin 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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