Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Global burden of oral diseases: emerging concepts, management and interplay with systemic health
This map shows the geographic impact of C Scully'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 C Scully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C Scully more than expected).
This network shows the impact of papers produced by C Scully. 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 C Scully. The network helps show where C Scully may publish in the future.
Co-authorship network of co-authors of C Scully
This figure shows the co-authorship network connecting the top 25 collaborators of C Scully.
A scholar is included among the top collaborators of C Scully 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 C Scully. C Scully is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Capodiferro, Saverio, Eugenio Maiorano, C Scully, & Gennaro Favia. (2007). Does a clinico-pathological correlation exist between tonsillar carcinoma and oral proliferative verrucous leukoplakia?. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 56(3). 153–4.1 indexed citations
4.
Scully, C, et al.. (2006). Oral Medicine. Update for the Dental Practitioner. UCL Discovery (University College London).18 indexed citations
Hodgson, TA, Elizabeth Molyneux, Rebecca Sinfield, et al.. (2005). Thalidomide for palliation of Kaposi's sarcoma in Malawian children. UCL Discovery (University College London).4 indexed citations
7.
Eveson, J.W. & C Scully. (2004). Sialosis and necrotising sialometaplasia in bulimia. International Journal of Oral and Maxillofacial Surgery. 808–810.6 indexed citations
8.
Scully, C, et al.. (2004). Oral health care in patients with the more important medically compromising conditions: 1. platelet disorders. UCL Discovery (University College London).1 indexed citations
9.
Scully, C. (2001). Oral cancer. Western Journal of Medicine. 174(5). 348–351.29 indexed citations
10.
Bedi, Raman, et al.. (2000). ABC of oral health.42 indexed citations
11.
Sposto, Maria Regina, et al.. (2000). Program of oral cancer prevention in Brazil: analysis of four consecutive years. Journal of Dental Research. 1086–1086.
12.
Wray, D. Walter, et al.. (1999). Textbook of General and Oral Medicine. UCL Discovery (University College London).5 indexed citations
13.
Scully, C. (1995). The pattern of patient attendance for emergency care in a British dental teaching hospital.. PubMed. 12(3). 151–4.20 indexed citations
14.
Onofre, Mirian Aparecida, Maria Regina Sposto, Cláudia Maria Navarro, & C Scully. (1995). Assessment of the blue toluidine stains in oral lesions with suspicions of malignancy. Journal of Dental Research. 782–782.4 indexed citations
15.
Scully, C, et al.. (1990). Uptake of hepatitis B immunisation amongst United Kingdom dental students.. 22(2).3 indexed citations
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.