Amy Du

554 total citations
17 papers, 318 citations indexed

About

Amy Du is a scholar working on Surgery, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Amy Du has authored 17 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Pathology and Forensic Medicine and 3 papers in Molecular Biology. Recurrent topics in Amy Du's work include Systemic Sclerosis and Related Diseases (3 papers), Knee injuries and reconstruction techniques (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). Amy Du is often cited by papers focused on Systemic Sclerosis and Related Diseases (3 papers), Knee injuries and reconstruction techniques (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). Amy Du collaborates with scholars based in Canada, United States and Denmark. Amy Du's co-authors include Robert Gniadecki, David C. Flanigan, Joshua S. Everhart, Nicoleta Stoicea, Sergio D. Bergese, James C. Kirven, Robert A. Magnussen, Mohammed Osman, Justin A. Ezekowitz and Sarah Poland and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of the American Academy of Dermatology.

In The Last Decade

Amy Du

17 papers receiving 315 citations

Peers

Amy Du
Liu Yh China
Amy Du
Citations per year, relative to Amy Du Amy Du (= 1×) peers Liu Yh

Countries citing papers authored by Amy Du

Since Specialization
Citations

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

Fields of papers citing papers by Amy Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy Du

This figure shows the co-authorship network connecting the top 25 collaborators of Amy Du. A scholar is included among the top collaborators of Amy Du 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 Amy Du. Amy Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
McGlumphy, Elyse J., et al.. (2023). Interim Analysis of Clinical Outcomes with Open versus Closed Conjunctival Implantation of the XEN45 Gel Stent. Ophthalmology Glaucoma. 7(2). 116–122. 1 indexed citations
2.
Du, Amy, Zarqa Ali, Tomas Norman Dam, et al.. (2023). Machine learning model for predicting outcomes of biologic therapy in psoriasis. Journal of the American Academy of Dermatology. 88(6). 1364–1367. 12 indexed citations
3.
Du, Amy, Robert Gniadecki, Jan Storek, & Mohammed Osman. (2022). Case Report: Chemotherapy-Associated Systemic Sclerosis: Is DNA Damage to Blame?. Frontiers in Medicine. 9. 855740–855740. 1 indexed citations
4.
Du, Amy, Robert Gniadecki, & Mohammed Osman. (2021). Biomarkers of B cell activation in autoimmune connective tissue diseases: More than markers of disease activity. Clinical Biochemistry. 100. 1–12. 2 indexed citations
5.
Du, Amy, et al.. (2021). Muffin Technique Micrographic Surgery for Non-melanoma Skin Cancer. Frontiers in Medicine. 7. 637223–637223. 4 indexed citations
6.
Du, Amy, et al.. (2020). Review of Machine Learning in Predicting Dermatological Outcomes. Frontiers in Medicine. 7. 266–266. 23 indexed citations
7.
Du, Amy, et al.. (2020). 17850 Predicting the long-term outcomes of biologics in psoriasis patients using machine learning. Journal of the American Academy of Dermatology. 83(6). AB86–AB86. 2 indexed citations
8.
Du, Amy, et al.. (2020). Diagnostic challenge of aleukemic leukemia cutis preceding acute myelogenous leukemia: A case report. SHILAP Revista de lepidopterología. 8. 2050313X20919638–2050313X20919638. 4 indexed citations
9.
Du, Amy, Mohammed Osman, & Robert Gniadecki. (2019). Use of Extracorporeal Photopheresis in Scleroderma: A Review. Dermatology. 236(2). 105–110. 12 indexed citations
11.
Du, Amy, et al.. (2019). A contemporary medicolegal analysis of perioperative vision loss from 2007 to 2016. Journal of Healthcare Risk Management. 39(3). 20–27. 3 indexed citations
12.
Sepehrvand, Nariman, Wendimagegn Alemayehu, Debraj Das, et al.. (2019). Trends in the Explanatory or Pragmatic Nature of Cardiovascular Clinical Trials Over 2 Decades. JAMA Cardiology. 4(11). 1122–1122. 24 indexed citations
13.
Everhart, Joshua S., et al.. (2018). Return to Work or Sport After Multiligament Knee Injury: A Systematic Review of 21 Studies and 524 Patients. Arthroscopy The Journal of Arthroscopic and Related Surgery. 34(5). 1708–1716. 67 indexed citations
14.
Du, Amy, Cynthia M. Westerhout, Finlay A. McAlister, et al.. (2018). Titration and Tolerability of Sacubitril/Valsartan for Patients With Heart Failure in Clinical Practice. Journal of Cardiovascular Pharmacology. 73(3). 149–154. 15 indexed citations
15.
Wu, Li, Mari Gingery, Michael Abebe, et al.. (2017). Diversity-generating retroelements: natural variation, classification and evolution inferred from a large-scale genomic survey. Nucleic Acids Research. 46(1). 11–24. 52 indexed citations
16.
Stoicea, Nicoleta, et al.. (2016). The MiRNA Journey from Theory to Practice as a CNS Biomarker. Frontiers in Genetics. 7. 11–11. 77 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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