Emily Poon

3.5k total citations
97 papers, 1.5k citations indexed

About

Emily Poon is a scholar working on Dermatology, Surgery and Epidemiology. According to data from OpenAlex, Emily Poon has authored 97 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Dermatology, 22 papers in Surgery and 15 papers in Epidemiology. Recurrent topics in Emily Poon's work include Dermatologic Treatments and Research (12 papers), Nonmelanoma Skin Cancer Studies (10 papers) and Facial Rejuvenation and Surgery Techniques (8 papers). Emily Poon is often cited by papers focused on Dermatologic Treatments and Research (12 papers), Nonmelanoma Skin Cancer Studies (10 papers) and Facial Rejuvenation and Surgery Techniques (8 papers). Emily Poon collaborates with scholars based in United States, Hong Kong and China. Emily Poon's co-authors include Murad Alam, Juliana C.N. Chan, Dennis P. West, Michael Nodzenski, Brian Tomlinson, Larry Baum, Simon Yoo, Emir Veledar, Susan L. Schantz and Philip Kam‐Tao Li and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Emily Poon

91 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Emily Poon United States 25 507 370 286 175 155 97 1.5k
Björn Guðbjörnsson Iceland 26 126 0.2× 182 0.5× 163 0.6× 50 0.3× 229 1.5× 115 2.3k
Antonino Catalano Italy 25 71 0.1× 209 0.6× 246 0.9× 132 0.8× 472 3.0× 108 2.1k
Brian Armstrong United States 20 95 0.2× 551 1.5× 128 0.4× 88 0.5× 160 1.0× 49 1.5k
Aysun Bıdecı Türkiye 25 84 0.2× 194 0.5× 582 2.0× 121 0.7× 237 1.5× 128 2.0k
Ole D. Wolthers Denmark 25 154 0.3× 194 0.5× 628 2.2× 100 0.6× 210 1.4× 102 2.7k
Jorge M. Núñez‐Córdoba Spain 22 70 0.1× 247 0.7× 232 0.8× 138 0.8× 154 1.0× 68 2.0k
Manuela Di Franco Italy 35 101 0.2× 255 0.7× 49 0.2× 280 1.6× 464 3.0× 141 3.1k
Lars Söderström Sweden 30 225 0.4× 335 0.9× 35 0.1× 229 1.3× 63 0.4× 89 2.3k
Hilary F. Luderer United States 13 74 0.1× 97 0.3× 125 0.4× 43 0.2× 247 1.6× 21 1.7k
Barry H. Rich United States 23 104 0.2× 374 1.0× 804 2.8× 87 0.5× 576 3.7× 30 1.8k

Countries citing papers authored by Emily Poon

Since Specialization
Citations

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

Fields of papers citing papers by Emily Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily Poon

This figure shows the co-authorship network connecting the top 25 collaborators of Emily Poon. A scholar is included among the top collaborators of Emily Poon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emily Poon. Emily Poon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
He, Jie, Baoqi Fan, Eric S. H. Lau, et al.. (2024). Enhanced prediction of abnormal glucose tolerance using an extended non-invasive risk score incorporating routine renal biochemistry. BMJ Open Diabetes Research & Care. 12(1). e003768–e003768. 1 indexed citations
2.
3.
Poon, Emily, et al.. (2023). Association between out-of-pocket expense and patient satisfaction with cutaneous surgery: A prospective, randomized study. Journal of the American Academy of Dermatology. 90(3). 644–646.
4.
Christensen, Rachel E., Tyler Johnson, Rachel L. Kyllo, et al.. (2023). Comparative effectiveness of 5-aminolevulinic acid photodynamic therapy with no incubation versus one-hour incubation for the treatment of actinic keratosis: A randomized controlled trial. Journal of the American Academy of Dermatology. 89(2). 401–403. 7 indexed citations
5.
6.
Schauer, Jacob M., et al.. (2022). Number Needed to Treat Versus Number Needed to Diagnose. Journal of Investigative Dermatology. 143(3). 499–501.
7.
Alam, Murad, Kelly A. Reynolds, Derek Y. Hsu, et al.. (2022). Risk factors for postoperative wound dehiscence after skin repair: A case-control study. Journal of the American Academy of Dermatology. 87(5). 1099–1102. 1 indexed citations
8.
Kang, Bianca Y., Alvin Li, Sarah A. Ibrahim, et al.. (2021). The safety and efficacy of autologous adipose-derived stromal vascular fraction for nonscarring alopecia: A systematic review. Archives of Dermatological Research. 314(4). 349–356. 7 indexed citations
9.
Kang, Bianca Y., Sarah A. Ibrahim, Emily Poon, & Murad Alam. (2021). Core outcome sets in clinical laser research: how better evidence can be better for patients. Lasers in Medical Science. 37(9). 3723–3725. 1 indexed citations
10.
Waldman, Abigail, et al.. (2020). Types of Cosmetic Procedures Requested by Different Types of Patients and the Reasons for These Preferences. Dermatologic Surgery. 46(12). 1728–1732. 10 indexed citations
11.
Furlan, Karina, et al.. (2018). Effect of Stress Ball Use or Hand-holding on Anxiety During Skin Cancer Excision. JAMA Dermatology. 154(9). 1045–1045. 24 indexed citations
12.
Patel, Kevin R., Vivek Singam, S. Rastogi, et al.. (2018). 243 Overall risk of primary hematologic malignancies in patients with lip squamous cell carcinoma: A report from the National Cancer Institute (NCI) Surveillance, Epidemiology, and End Results (SEER) program. Journal of Investigative Dermatology. 138(5). S42–S42. 4 indexed citations
13.
14.
Mccormick, C, et al.. (2017). Video education to improve recognition of common benign and malignant cutaneous lesions and skin cancer prevention in the public. International Journal of Women’s Dermatology. 4(2). 80–82. 13 indexed citations
15.
16.
Poon, Emily, et al.. (2014). Developmental PCB exposure increases susceptibility to audiogenic seizures in adulthood. NeuroToxicology. 46. 117–124. 14 indexed citations
17.
Ibrahim, Omer, Rohit Kakar, Diana Bolotin, et al.. (2013). The comparative effectiveness of suction-curettage and onabotulinumtoxin-A injections for the treatment of primary focal axillary hyperhidrosis: A randomized control trial. Journal of the American Academy of Dermatology. 69(1). 88–95. 35 indexed citations
18.
Hu, Miao, Ya‐Ling Yang, Benny S. P. Fok, et al.. (2012). Effects of CYP2D6*10, CYP3A5*3, CYP1A2*1F , and ABCB1 C3435T polymorphisms on the pharmacokinetics of flecainide in healthy Chinese subjects. Drug metabolism and drug interactions. 27(1). 33–39. 7 indexed citations
19.
Hu, Miao, Tanya T. W. Chu, Vivian Lee, et al.. (2010). Pharmacogenetic analysis of lipid responses to rosuvastatin in Chinese patients. Pharmacogenetics and Genomics. 20(10). 634–637. 42 indexed citations
20.
Powers, Brian E., Emily Poon, Helen J.K. Sable, & Susan L. Schantz. (2009). Developmental Exposure to PCBs, MeHg, or Both: Long-Term Effects on Auditory Function. Environmental Health Perspectives. 117(7). 1101–1107. 28 indexed citations

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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