Mary Sun

1.0k total citations · 1 hit paper
28 papers, 545 citations indexed

About

Mary Sun is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Clinical Psychology. According to data from OpenAlex, Mary Sun has authored 28 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Clinical Psychology. Recurrent topics in Mary Sun's work include AI in cancer detection (6 papers), Cutaneous Melanoma Detection and Management (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Mary Sun is often cited by papers focused on AI in cancer detection (6 papers), Cutaneous Melanoma Detection and Management (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Mary Sun collaborates with scholars based in United States, Australia and United Kingdom. Mary Sun's co-authors include Veronica Rotemberg, James Zou, Roxana Daneshjou, Richard Ha, Ralph Wynn, Victoria L. Mango, Simukayi Mutasa, Michael Z. Liu, Sachin Jambawalikar and Allan C. Halpern and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Investigative Dermatology and Journal of the American Academy of Dermatology.

In The Last Decade

Mary Sun

24 papers receiving 533 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms

2021 198 citations Roxana Daneshjou, Mary Sun et al. JAMA Dermatology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mary Sun United States	9	236	202	129	106	57	28	545
Tanja Jutzi Germany	6	121 0.5×	123 0.6×	166 1.3×	64 0.6×	38 0.7×	9	360
Sarah Hickman United Kingdom	10	289 1.2×	305 1.5×	91 0.7×	136 1.3×	22 0.4×	21	494
Roman C. Maron Germany	8	131 0.6×	70 0.3×	159 1.2×	58 0.5×	32 0.6×	8	304
Wiebke Sondermann Germany	15	213 0.9×	96 0.5×	305 2.4×	63 0.6×	76 1.3×	55	874
Eniola Oluyemi United States	11	170 0.7×	287 1.4×	69 0.5×	181 1.7×	31 0.5×	59	494
Jesutofunmi A. Omiye United States	10	185 0.8×	118 0.6×	61 0.5×	226 2.1×	70 1.2×	17	598
Bethany Williams United Kingdom	16	491 2.1×	293 1.5×	239 1.9×	91 0.9×	103 1.8×	35	963
Alexander L. Fogel United States	11	73 0.3×	68 0.3×	93 0.7×	117 1.1×	98 1.7×	18	589
Michael Co Hong Kong	15	50 0.2×	81 0.4×	134 1.0×	99 0.9×	151 2.6×	56	738
Eric F. Glassy United States	9	164 0.7×	103 0.5×	48 0.4×	41 0.4×	21 0.4×	21	358

Countries citing papers authored by Mary Sun

Since Specialization

Citations

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

Fields of papers citing papers by Mary Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Sun

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sun, Mary, Jennifer L. Hay, Elizabeth Quigley, et al.. (2023). 43933 Dermatology Patient Experiences with Clinical Photography and Perspectives on Use, Consent, Security, and Identifiability. Journal of the American Academy of Dermatology. 89(3). AB34–AB34.

Mehta, Paras, Mary Sun, Brigid Betz‐Stablein, et al.. (2023). Improving Artificial Intelligence−Based Diagnosis on Pediatric Skin Lesions. Journal of Investigative Dermatology. 143(8). 1423–1429.e1. 6 indexed citations

Wang, Chang, et al.. (2023). Influence of Cultural Values and Integrational Acculturation Differences on the Behavioral Health Treatment of Asian American Immigrant Children in the COVID-19 Era. Southern Medical Journal. 116(4). 365–368.

Ufongene, Claire, et al.. (2023). Evaluation of skin of color publication trends over the past 2 decades in the Journal of the American Academy of Dermatology. Journal of the American Academy of Dermatology. 89(3). 614–616.

Sun, Mary, Jennifer L. Hay, Elizabeth Quigley, et al.. (2023). Dermatology patient perspectives regarding consent, privacy, security, and identifiability of clinical photography at a tertiary cancer center: A qualitative study. JAAD International. 12. 121–123. 1 indexed citations

Liu, Clifford Z., et al.. (2022). The Model Minority Myth, Data Aggregation, and the Role of Medical Schools in Combating Anti-Asian Sentiment. Academic Medicine. 97(6). 797–803. 16 indexed citations

Mikhaylov, Daniela, Stephanie M. Rangel, Ana B. Pavel, et al.. (2022). Transcriptomic Analysis of the Major Orphan Ichthyosis Subtypes Reveals Shared Immune and Barrier Signatures. Journal of Investigative Dermatology. 142(9). 2363–2374.e18. 16 indexed citations

Sun, Shawn, Simukayi Mutasa, Michael Z. Liu, et al.. (2022). Deep learning prediction of axillary lymph node status using ultrasound images. Computers in Biology and Medicine. 143. 105250–105250. 38 indexed citations

Palermo, Ann‐Gel S., et al.. (2022). Bias Breakers: Continuous Practice for Admissions and Selection Committees. MedEdPORTAL. 18. 11285–11285. 6 indexed citations

10.

Sun, Mary, et al.. (2022). Digital skin imaging applications, part I: Assessment of image acquisition technique features. Skin Research and Technology. 28(4). 623–632. 11 indexed citations

11.

Daneshjou, Roxana, et al.. (2021). Lack of Transparency and Potential Bias in Artificial Intelligence Data Sets and Algorithms. JAMA Dermatology. 157(11). 1362–1362. 198 indexed citations breakdown →

12.

Sun, Mary, et al.. (2021). 557 Assessment of skin of color and diversity and inclusion content published in the Journal of Investigative Dermatology: An analysis and call to action. Journal of Investigative Dermatology. 141(5). S97–S97. 1 indexed citations

13.

Sun, Mary & Evan A. Rieder. (2021). Psychosocial issues and body dysmorphic disorder in aesthetics: Review and debate. Clinics in Dermatology. 40(1). 4–10. 7 indexed citations

14.

Sun, Mary, Markus D. Boos, & Sarah J. Coates. (2021). Addressing Climate-Related Health Impacts During the Patient Encounter. Dermatologic Clinics. 40(1). 109–116. 5 indexed citations

15.

Sun, Mary & Allan C. Halpern. (2021). Advances in the Etiology, Detection, and Clinical Management of Seborrheic Keratoses. Dermatology. 238(2). 205–217. 20 indexed citations

16.

Sun, Mary, Markus D. Boos, & Sarah J. Coates. (2021). Dermatology at the intersection of climate change, social justice, and children's health. SHILAP Revista de lepidopterología. 5. 100101–100101. 1 indexed citations

17.

Mutasa, Simukayi, et al.. (2020). Prospective Analysis Using a Novel CNN Algorithm to Distinguish Atypical Ductal Hyperplasia From Ductal Carcinoma in Situ in Breast. Clinical Breast Cancer. 20(6). e757–e760. 6 indexed citations

18.

Ha, Richard, Simukayi Mutasa, Jenika Karcich, et al.. (2019). Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm. Journal of Digital Imaging. 32(2). 276–282. 95 indexed citations

19.

Weeks, Phillip, Yang D. Teng, Lei Wu, et al.. (2014). Chemical and physical compatibility of an intravenous solution of epinephrine with calcium chloride.. PubMed. 18(2). 152–8. 2 indexed citations

20.

Sun, Mary. (1978). Food in Chinese Culture: Anthropological and Historical Perspectives, edited by K. C. Chang. Journal of History. 13(1). 103–105.

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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