S. Chan

461 citations
14 papers · 315 · h-index 6

Impact in

    • Skin Protection and Aging
    • Dermatology and Skin Diseases
    • Cutaneous lymphoproliferative disorders research
    • Cutaneous Melanoma Detection and Management

Papers in

    • Cutaneous Melanoma Detection and Management 4
    • Drug Transport and Resistance Mechanisms 1
    • Dermatological and COVID-19 studies 1

S. Chan

13 papers receiving 309 citations

Peers

S. Chan
Comparison fields: 5 of 72
  • Dermatology 66
  • Oncology 168
  • Health Informatics 7
  • Family Practice 7
  • Biophysics 15
Replace Nikki R. Adler with:
Nikki R. Adler Australia
Sebastian Krammer Germany
Vidhatha Reddy United States
Laura K. DeLong United States
Roger Benjamin Aldridge United Kingdom
Charindu K. I. Ranmuthu United Kingdom
JEFFREY K. McKENNA United States
Gregor Schäfer-Hesterberg Germany
Konstantinos Lallas Greece
Jeffrey S Henning United States
S. Chan relative to Nikki R. Adler Australia Nikki R. Adler's profile →
Citations per field
00.5×3.5×
Nikki R. Adler · 1×
Citations per year

Countries citing papers authored by S. Chan

Since Specialization
Citations

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

Fields of papers citing papers by S. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Chan, 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 S. Chan Line = papers co-authored together S. Chan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2018108
2 201160
3 201856
4 201945
5 201523
6 20176
7 20184
8 20174
9
[The management of stroke in Phnom Penh, Cambodia].
20073
10 20182
11 20152
12 20151
13 20131
14 20210

About S. Chan

S. Chan is a scholar working on Oncology, Dermatology, Pathology and Forensic Medicine, Epidemiology and Surgery, having authored 14 papers that have together received 315 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (4 papers), Autoimmune Bullous Skin Diseases (2 papers), Dermatological and COVID-19 studies (1 paper), Epilepsy research and treatment (1 paper), Healthcare Systems and Practices (1 paper), Vascular Malformations and Hemangiomas (1 paper), Psoriasis: Treatment and Pathogenesis (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Dermatology (66 citations), Oncology (168 citations), Health Informatics (7 citations), Family Practice (7 citations) and Biophysics (15 citations). S. Chan has collaborated with scholars based in United Kingdom, France and Cambodia. Frequent co-authors include Linda Lawson, Anthony D. Ormerod, Rubeta Matin, Yemisi Takwoingi, Jacqueline Dinnes, Clare Davenport, Naomi Chuchu, Susan Bayliss, Hywel C Williams and Jonathan J Deeks. Their work appears in journals such as Cochrane Database of Systematic Reviews, British Journal of Dermatology, Journal of Dermatological Treatment, The International Journal of Tuberculosis and Lung Disease and Journal of the Neurological Sciences.

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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