Patricia Saddier

55 total papers · 3.9k total citations
40 papers, 2.9k citations indexed

About

Patricia Saddier is a scholar working on Epidemiology, Dermatology and Parasitology. According to data from OpenAlex, Patricia Saddier has authored 40 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 11 papers in Dermatology and 9 papers in Parasitology. Recurrent topics in Patricia Saddier's work include Herpesvirus Infections and Treatments (26 papers), Acne and Rosacea Treatments and Effects (10 papers) and Healthcare and Venom Research (5 papers). Patricia Saddier is often cited by papers focused on Herpesvirus Infections and Treatments (26 papers), Acne and Rosacea Treatments and Effects (10 papers) and Healthcare and Venom Research (5 papers). Patricia Saddier collaborates with scholars based in United States, United Kingdom and France. Patricia Saddier's co-authors include Barbara P. Yawn, Peter C. Wollan, Marge Kurland, Jennifer L. St. Sauver, Lina S. Sy, James M. Pellissier, Robbin Itzler, Alexander Nikas, Christian Confavreux and Ralph P. Insinga and has published in prestigious journals such as New England Journal of Medicine, Blood and Neurology.

In The Last Decade

Patricia Saddier

40 papers receiving 2.7k citations

Hit Papers

A Population-Based Study ... 2007 2026 2013 2019 2007 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Patricia Saddier 2.2k 741 732 308 267 40 2.9k
John W. Gnann 2.1k 0.9× 426 0.6× 487 0.7× 477 1.5× 350 1.3× 47 2.7k
Maria A. Nagel 2.5k 1.1× 600 0.8× 609 0.8× 329 1.1× 238 0.9× 114 3.8k
Ivan S. F. Chan 1.8k 0.8× 507 0.7× 442 0.6× 420 1.4× 354 1.3× 57 2.6k
Donatella Macchia 639 0.3× 131 0.2× 768 1.0× 329 1.1× 210 0.8× 68 4.6k
D Carrington 1.5k 0.7× 187 0.3× 200 0.3× 552 1.8× 99 0.4× 73 3.0k
Adriana Weinberg 1.3k 0.6× 224 0.3× 161 0.2× 335 1.1× 264 1.0× 38 2.0k
Eva V. Acosta Rodríguez 855 0.4× 159 0.2× 303 0.4× 356 1.2× 98 0.4× 53 4.7k
James C. Overall 2.5k 1.1× 192 0.3× 392 0.5× 541 1.8× 187 0.7× 99 3.6k
M G Giudizi 614 0.3× 169 0.2× 298 0.4× 324 1.1× 179 0.7× 29 4.5k
Koichi Uyemura 1.6k 0.7× 194 0.3× 305 0.4× 1.1k 3.5× 94 0.4× 48 4.9k

Countries citing papers authored by Patricia Saddier

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Saddier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Saddier

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