Charles Sailey

548 citations
18 papers · 322 · h-index 11

Impact in

Papers in

    • SARS-CoV-2 detection and testing 4
    • SARS-CoV-2 and COVID-19 Research 4
    • Molecular Biology Techniques and Applications 3
    • Amyloidosis: Diagnosis, Treatment, Outcomes 2

Charles Sailey

17 papers receiving 305 citations

Peers

Charles Sailey
Comparison fields: 5 of 68
  • Transplantation 54
  • General Dentistry 18
  • Modeling and Simulation 45
  • Infectious Diseases 109
  • Developmental Neuroscience 16
Replace Veronika Lenz with:
Veronika Lenz Germany
Agathe Pardon France
Emily Leven United States
Jonathan Freeman United States
Natalia Egri Spain
Erol Demir Türkiye
Maria Raffaella Petrara Italy
Mehdi Shahbazi Iran
Vincenzo De Angelis Italy
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Citations per field
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Citations per year

Countries citing papers authored by Charles Sailey

Since Specialization
Citations

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

Fields of papers citing papers by Charles Sailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Charles Sailey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Charles Sailey Line = papers co-authored together Charles Sailey links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 202056
2 201052
3 202031
4 200730
5 202029
6 202123
7 201420
8 201419
9 201517
10 201013
11 201612
12 20098
13 20167
14 20092
15 20091
16 20231
17 20211
18 20150

About Charles Sailey

Charles Sailey is a scholar working on Infectious Diseases, Molecular Biology, Modeling and Simulation, Cancer Research and Surgery, having authored 18 papers that have together received 322 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (4 papers), Molecular Biology Techniques and Applications (3 papers), COVID-19 diagnosis using AI (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (2 papers) and Eosinophilic Disorders and Syndromes (2 papers). The work is most often cited by research in Transplantation (54 citations), General Dentistry (18 citations), Modeling and Simulation (45 citations), Infectious Diseases (109 citations) and Developmental Neuroscience (16 citations). Charles Sailey has collaborated with scholars based in United States and Brazil. Frequent co-authors include Aaron J. Siegler, Travis Sanchez, John C. Papadimitriou, Patrick S. Sullivan, Colleen F. Kelley, Jodie L. Guest, Jeannette Guarner, Cinthia B. Drachenberg, Carlos del Rı́o and Raghava Munivenkatappa. Their work appears in journals such as JMIR Public Health and Surveillance, Archives of Pathology & Laboratory Medicine, International Journal of Oncology, Clinical Infectious Diseases and Annals of Epidemiology.

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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