Claudia MacAuley

12 total papers · 747 total citations
12 papers, 627 citations indexed

About

Claudia MacAuley is a scholar working on Molecular Biology, Infectious Diseases and Virology. According to data from OpenAlex, Claudia MacAuley has authored 12 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Infectious Diseases and 2 papers in Virology. Recurrent topics in Claudia MacAuley's work include Prion Diseases and Protein Misfolding (7 papers), Cancer Treatment and Pharmacology (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). Claudia MacAuley is often cited by papers focused on Prion Diseases and Protein Misfolding (7 papers), Cancer Treatment and Pharmacology (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). Claudia MacAuley collaborates with scholars based in United States, Switzerland and Kenya. Claudia MacAuley's co-authors include Robert G. Rohwer, William N. Drohan, Paul Brown, D. Carleton Gajdusek, Luisa Gregori, Julie L. Eiseman, James Leslie, David Young, Merrill J. Egorin and Natalie D. Eddington and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Annals of the New York Academy of Sciences.

In The Last Decade

Claudia MacAuley

12 papers receiving 593 citations

Author Peers

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

Author						Papers	Cites
Claudia MacAuley	397	90	64	56	48	12	627
Jeanette L. C. Miller	264 0.7×	34 0.4×	24 0.4×	187 3.3×	28 0.6×	17	626
Elisa Forti	148 0.4×	160 1.8×	70 1.1×	47 0.8×	24 0.5×	11	787
Theodore Johnson	304 0.8×	65 0.7×	125 2.0×	18 0.3×	56 1.2×	14	779
Eleonora Lauri	106 0.3×	99 1.1×	8 0.1×	112 2.0×	62 1.3×	18	673
Aditi Varthaman	164 0.4×	84 0.9×	27 0.4×	31 0.6×	13 0.3×	14	737
Annapurna Nayak	136 0.3×	15 0.2×	47 0.7×	66 1.2×	16 0.3×	11	594
Victoria G. Aveson	369 0.9×	107 1.2×	8 0.1×	48 0.9×	29 0.6×	16	771
Danièle Mathieu	418 1.1×	103 1.1×	12 0.2×	29 0.5×	10 0.2×	17	674
Ofer Guttman	234 0.6×	64 0.7×	21 0.3×	52 0.9×	10 0.2×	12	651
C. Baerwald	292 0.7×	42 0.5×	22 0.3×	46 0.8×	22 0.5×	14	633

Countries citing papers authored by Claudia MacAuley

Since Specialization

Citations

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

Fields of papers citing papers by Claudia MacAuley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claudia MacAuley. 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 Claudia MacAuley. The network helps show where Claudia MacAuley may publish in the future.

Co-authorship network of co-authors of Claudia MacAuley

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