Fiona C. Simpson

1.7k citations
31 papers · 1.2k · h-index 18

Impact in

Papers in

Fiona C. Simpson

30 papers receiving 1.2k citations

Peers

Fiona C. Simpson
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 97
  • Epidemiology 449
  • Cell Biology 217
  • Physiology 277
  • Dermatology 92
Replace Masahiko Ayaki with:
Masahiko Ayaki Japan
Barbara Meier Switzerland
Francisco Tausk United States
Judith E. A. Warner United States
Ikuko Toda Japan
Elaine K. Orenberg United States
H. Christian Weber United States
Paul Kim United States
Yuichi Uchino Japan
D H Felix United Kingdom
Fiona C. Simpson relative to Masahiko Ayaki Japan Masahiko Ayaki's profile →
Citations per field
00.5×5.6×
Masahiko Ayaki · 1×
Citations per year

Countries citing papers authored by Fiona C. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Fiona C. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fiona C. Simpson. 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 Fiona C. Simpson. The network helps show where Fiona C. Simpson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015243
2 2015109
3 202098
4 201591
5 201391
6 201271
7 200665
8 201248
9 200737
10 201336
11
Device-based therapies for onychomycosis treatment.
201233
12 201428
13 201527
14 201226
15 201223
16 202123
17 202119
18 201319
19 201317
20 201415

About Fiona C. Simpson

Fiona C. Simpson is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Cell Biology and Physiology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nail Diseases and Treatments (18 papers), Corneal Surgery and Treatments (7 papers), Fungal Infections and Studies (7 papers), Plant Pathogens and Fungal Diseases (5 papers), Ocular Surface and Contact Lens (5 papers), Corneal surgery and disorders (5 papers), Obstructive Sleep Apnea Research (3 papers) and Infectious Diseases and Mycology (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (97 citations), Epidemiology (449 citations), Cell Biology (217 citations), Physiology (277 citations) and Dermatology (92 citations). Fiona C. Simpson has collaborated with scholars based in Canada, Sweden and United Kingdom. Frequent co-authors include Aditya K. Gupta, Madhulika A. Gupta, Maryse Paquet, Danika C.A. Lyons, Ashok K. Grover, Magdalena M. Szewczyk, Amir Tavakkol, Kanwaldeep Mallhi, Jyoti Pande and May Griffith. Their work appears in journals such as Clinics in Dermatology, Cochrane Database of Systematic Reviews, Sleep Medicine Reviews, Expert Opinion on Pharmacotherapy and Journal of Dermatological Treatment.

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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