Fiona Li

17 papers receiving 343 citations

Peers

Fiona Li
Comparison fields: 5 of 35
  • Public Health, Environmental and Occupational Health 174
  • Obstetrics and Gynecology 39
  • Endocrinology, Diabetes and Metabolism 71
  • Reproductive Medicine 32
  • Pediatrics, Perinatology and Child Health 50
Replace Bina Cohen-Sacher with:
Bina Cohen-Sacher Israel
Aaron Budden Australia
Surasak Angsuwathana Thailand
İsmail Alay Türkiye
Emine Seda Güvendağ Güven Türkiye
Nikolaos Kathopoulis Greece
Vito Leanza Italy
Mehmet Dolanbay Türkiye
Ulaş Fidan Türkiye
Shlomo Filmar Israel
Fiona Li relative to Bina Cohen-Sacher Israel Bina Cohen-Sacher's profile →
Citations per field
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Bina Cohen-Sacher · 1×
Citations per year

Countries citing papers authored by Fiona Li

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2017165
2 202175
3 202026
4 201620
5 202216
6 201711
7 20228
8 20107
9 20236
10 20196
11 20234
12 20223
13 20233
14 20232
15 20172
16 20252
17 20232
18 20250
19 20250

About Fiona Li

Fiona Li is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Reproductive Medicine, Dermatology and Epidemiology, having authored 19 papers that have together received 358 indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (5 papers), Endometriosis Research and Treatment (3 papers), Advanced X-ray and CT Imaging (2 papers), Ectopic Pregnancy Diagnosis and Management (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Surgical Simulation and Training (1 paper), MRI in cancer diagnosis (1 paper) and Dermatologic Treatments and Research (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (174 citations), Obstetrics and Gynecology (39 citations), Endocrinology, Diabetes and Metabolism (71 citations), Reproductive Medicine (32 citations) and Pediatrics, Perinatology and Child Health (50 citations). Fiona Li has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Jason Abbott, Sarah Maheux‐Lacroix, Erin Nesbitt‐Hawes, Rebecca Deans, Emmanuel Bujold, Stephen D. Lyons, Aaron Budden, Eva Segelov, Philippe Y. Laberge and Christopher M. Stewart. Their work appears in journals such as Journal of Minimally Invasive Gynecology, Climacteric, Obstetrics and Gynecology, Obstetrical & Gynecological Survey and Clinical and Experimental Ophthalmology.

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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