Carolyn Saylor

8 total papers · 515 total citations
6 papers, 410 citations indexed

About

Carolyn Saylor is a scholar working on Epidemiology, Immunology and Infectious Diseases. According to data from OpenAlex, Carolyn Saylor has authored 6 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Carolyn Saylor's work include Fungal Infections and Studies (3 papers), Antifungal resistance and susceptibility (2 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). Carolyn Saylor is often cited by papers focused on Fungal Infections and Studies (3 papers), Antifungal resistance and susceptibility (2 papers) and Monoclonal and Polyclonal Antibodies Research (1 paper). Carolyn Saylor collaborates with scholars based in United States. Carolyn Saylor's co-authors include Arturo Casadevall, Ekaterina Dadachova, Alena Janda, Siu-Kei Chow, Matthew D. Scharff, Luis R. Martinez, André Moraes Nicola, Patrícia Albuquerque, Joshua D. Nosanchuk and Magdia De Jesus and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Infection and Immunity.

In The Last Decade

Carolyn Saylor

6 papers receiving 394 citations

Author Peers

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

Author Last Decade Papers Cites
Carolyn Saylor 159 156 137 109 95 6 410
E Filley 223 1.4× 160 1.0× 238 1.7× 94 0.9× 48 0.5× 11 493
R. L. Hunter 104 0.7× 202 1.3× 93 0.7× 187 1.7× 55 0.6× 13 475
Bo Sun 66 0.4× 154 1.0× 137 1.0× 164 1.5× 80 0.8× 11 441
M Kinomoto 229 1.4× 123 0.8× 294 2.1× 158 1.4× 35 0.4× 10 414
G A Van Nest 144 0.9× 213 1.4× 81 0.6× 163 1.5× 48 0.5× 9 465
Terramika Bellamy 180 1.1× 63 0.4× 153 1.1× 97 0.9× 45 0.5× 6 387
Marie Rojas 97 0.6× 251 1.6× 86 0.6× 158 1.4× 60 0.6× 8 432
Gerd Lipowsky 86 0.5× 109 0.7× 92 0.7× 169 1.6× 67 0.7× 8 422
LaToya Jones Braun 115 0.7× 158 1.0× 140 1.0× 210 1.9× 80 0.8× 12 468
S E Brown 338 2.1× 171 1.1× 74 0.5× 99 0.9× 100 1.1× 13 477

Countries citing papers authored by Carolyn Saylor

Since Specialization
Citations

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

Fields of papers citing papers by Carolyn Saylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolyn Saylor

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