Glen Lo

458 citations
26 papers · 233 · h-index 9

Impact in

Papers in

Glen Lo

25 papers receiving 231 citations

Peers

Glen Lo
Comparison fields: 5 of 41
  • Reproductive Medicine 61
  • Obstetrics and Gynecology 54
  • Hepatology 40
  • Pathology and Forensic Medicine 58
  • Cancer Research 44
Replace Erik Škof with:
Erik Škof Slovenia
Latifa Fellah Belgium
Tommaso Cioppa Italy
Sinikka Oksa Finland
Camille Olivier France
Sara E. Martin del Campo United States
P J Grases Spain
Orhun Çığ Taşkın Türkiye
Fuki Shitano Japan
Alison Price United Kingdom
Glen Lo relative to Erik Škof Slovenia Erik Škof's profile →
Citations per field
00.5×1.5×2.1×
Erik Škof · 1×
Citations per year

Countries citing papers authored by Glen Lo

Since Specialization
Citations

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

Fields of papers citing papers by Glen Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201544
3 202224
4 201614
5 201212
6 201811
7 201911
8 201510
9 20239
10 20217
11 20157
12 20225
13 20244
14 20204
15 20243
16 20243
17 20213
18 20203
19 20232
20 20242

About Glen Lo

Glen Lo is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research, having authored 26 papers that have together received 233 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (9 papers), Endometrial and Cervical Cancer Treatments (6 papers), MRI in cancer diagnosis (6 papers), Breast Lesions and Carcinomas (6 papers), Uterine Myomas and Treatments (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Gynecological conditions and treatments (4 papers) and Ectopic Pregnancy Diagnosis and Management (4 papers). The work is most often cited by research in Reproductive Medicine (61 citations), Obstetrics and Gynecology (54 citations), Hepatology (40 citations), Pathology and Forensic Medicine (58 citations) and Cancer Research (44 citations). Glen Lo has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Pavel Crystal, Sandeep Ghai, Anabel M. Scaranelo, Karina Bukhanov, Rachel Fleming, Supriya Kulkarni, Jennifer J. Knox, Tae Kyoung Kim, Ur Metser and Patrik Rogalla. Their work appears in journals such as Australian and New Zealand Journal of Obstetrics and Gynaecology, Journal of Clinical Oncology, European Journal of Radiology, Ultrasound in Obstetrics and Gynecology and ANZ Journal of Surgery.

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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