Dinah Wan

787 citations
16 papers · 537 · h-index 12

Impact in

    • Facial Rejuvenation and Surgery Techniques
    • Dermatologic Treatments and Research
  • Surgery top 10%
    • Breast Implant and Reconstruction
    • Body Contouring and Surgery
    • Reconstructive Surgery and Microvascular Techniques
    • Surgical Simulation and Training
    • Reconstructive Facial Surgery Techniques

Papers in

    • Body Contouring and Surgery 4
    • Breast Implant and Reconstruction 3
    • Surgical Simulation and Training 2
    • Reconstructive Surgery and Microvascular Techniques 2
    • Diet and metabolism studies 2
    • Simulation-Based Education in Healthcare 1

Dinah Wan

16 papers receiving 518 citations

Peers

Dinah Wan
Comparison fields: 5 of 49
  • Dermatology 165
  • Surgery 290
  • Neurology 70
  • Urology 23
  • Otorhinolaryngology 16
Replace Catherine S. Chang with:
Catherine S. Chang United States
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Kwan‐Chul Tark South Korea
Ozan Bitik Türkiye
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Dinah Wan relative to Catherine S. Chang United States Catherine S. Chang's profile →
Citations per field
00.5×4.6×
Catherine S. Chang · 1×
Citations per year

Countries citing papers authored by Dinah Wan

Since Specialization
Citations

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

Fields of papers citing papers by Dinah Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201697
2 201374
3 201554
4 201152
5 201451
6 201844
7 201632
8 201031
9 201230
10 201921
11 201921
12 201816
13 20199
14 20172
15 20072
16 20061

About Dinah Wan

Dinah Wan is a scholar working on Surgery, Physiology, Dermatology, Neurology and Genetics, having authored 16 papers that have together received 537 indexed citations. Recurring topics across this work include Body Contouring and Surgery (4 papers), Breast Implant and Reconstruction (3 papers), Facial Rejuvenation and Surgery Techniques (2 papers), Surgical Simulation and Training (2 papers), Reconstructive Surgery and Microvascular Techniques (2 papers), Facial Nerve Paralysis Treatment and Research (2 papers), Diet and metabolism studies (2 papers) and Simulation-Based Education in Healthcare (1 paper). The work is most often cited by research in Dermatology (165 citations), Surgery (290 citations), Neurology (70 citations), Urology (23 citations) and Otorhinolaryngology (16 citations). Dinah Wan has collaborated with scholars based in United States, Australia and Lebanon. Frequent co-authors include Rod J. Rohrich, Don Stredney, Bardia Amirlak, Kathryn E. Davis, Gregory J. Wiet, Kevin Small, Fritz E. Barton, Erez Dayan, Yvonne M. Rasko and Nathaniel L. Villanueva. Their work appears in journals such as Plastic & Reconstructive Surgery, The Laryngoscope, The FASEB Journal, Otolaryngologic Clinics of North America and Journal of Reconstructive Microsurgery.

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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