Lucy Lan

10 papers receiving 415 citations

Lucy Lan's Hit Papers

Immersive Virtual Reality for Surgical Training: A Systematic Review 2021 · 208 citations
2080+1+3Years since publication50100150200

Peers

Lucy Lan
Comparison fields: 5 of 105
  • Human-Computer Interaction 74
  • Health Informatics 12
  • Physiology 177
  • Rehabilitation 32
  • Leadership and Management 4
Replace Ryan Lohre with:
Ryan Lohre United States
Hillel S. Maresky United States
Tadatsugu Morimoto Japan
Anna Marchetti Italy
Muhammed Nur Öğün Türkiye
Cuan M. Harrington Ireland
Luke Hopper Australia
Greg Wynn United Kingdom
Jingjie Zhao China
Eliza Bruce United States
Lucy Lan relative to Ryan Lohre United States Ryan Lohre's profile →
Citations per field
00.5×1.5×1.8×
Ryan Lohre · 1×
Citations per year

Countries citing papers authored by Lucy Lan

Since Specialization
Citations

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

Fields of papers citing papers by Lucy Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Immersive Virtual Reality for Surgical Training: A Systematic Review
Hit paper breakdown →
2021208
2 201972
3 202066
4 202329
5 202122
6 202217
7 20174
8 20233
9
Rosacea Patient Perspectives on Homeopathic and Over-the-counter Therapies.
20152
10 20101

About Lucy Lan

Lucy Lan is a scholar working on Physiology, Surgery, Dermatology, Cell Biology and Human-Computer Interaction, having authored 10 papers that have together received 424 indexed citations. Recurring topics across this work include Acne and Rosacea Treatments and Effects (2 papers), Virtual Reality Applications and Impacts (2 papers), Anatomy and Medical Technology (2 papers), Surgical Simulation and Training (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Telemedicine and Telehealth Implementation (1 paper), Cardiovascular Effects of Exercise (1 paper) and Psychosomatic Disorders and Their Treatments (1 paper). The work is most often cited by research in Human-Computer Interaction (74 citations), Health Informatics (12 citations), Physiology (177 citations), Rehabilitation (32 citations) and Leadership and Management (4 citations). Lucy Lan has collaborated with scholars based in Canada and United States. Frequent co-authors include Randi Q. Mao, Jeffrey Kay, Darren de, Olufemi R. Ayeni, Ryan Lohre, Danny P. Goel, Linda May, Bart P. Hettinga, Joshua P. Nederveen and Mark A. Tarnopolsky. Their work appears in journals such as Nutrients, Journal of Clinical Oncology, Journal of Surgical Research, Orthopaedic Journal of Sports Medicine and Dermatologic Clinics.

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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