Jiali Han

9.6k total citations · 1 hit paper
132 papers, 5.6k citations indexed

About

Jiali Han is a scholar working on Dermatology, Molecular Biology and Oncology. According to data from OpenAlex, Jiali Han has authored 132 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Dermatology, 41 papers in Molecular Biology and 38 papers in Oncology. Recurrent topics in Jiali Han's work include Skin Protection and Aging (29 papers), Nonmelanoma Skin Cancer Studies (26 papers) and Cutaneous Melanoma Detection and Management (23 papers). Jiali Han is often cited by papers focused on Skin Protection and Aging (29 papers), Nonmelanoma Skin Cancer Studies (26 papers) and Cutaneous Melanoma Detection and Management (23 papers). Jiali Han collaborates with scholars based in United States, China and United Kingdom. Jiali Han's co-authors include Abrar A. Qureshi, Wenqing Li, David J. Hunter, Chrysalyne D. Schmults, Pritesh S. Karia, Shaowei Wu, Immaculata De Vivo, Hongmei Nan, Graham A. Colditz and Yiqing Song and has published in prestigious journals such as Circulation, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Jiali Han

128 papers receiving 5.5k citations

Hit Papers

Cutaneous squamous cell carcinoma: Estimated incidence of... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiali Han United States 41 2.0k 1.5k 1.4k 1.4k 1.1k 132 5.6k
Jörg Reichrath Germany 48 2.1k 1.0× 903 0.6× 901 0.6× 1.6k 1.2× 1.0k 1.0× 215 6.8k
Hiroshi Uchi Japan 45 1.8k 0.9× 720 0.5× 1.6k 1.1× 1.5k 1.1× 1.4k 1.3× 215 5.6k
Jiali Han United States 32 747 0.4× 766 0.5× 776 0.5× 1.2k 0.9× 335 0.3× 109 3.7k
Ji Li China 36 923 0.5× 342 0.2× 456 0.3× 1.7k 1.2× 416 0.4× 263 4.3k
João F. Passos United Kingdom 52 530 0.3× 1.6k 1.0× 815 0.6× 5.8k 4.3× 2.4k 2.2× 96 12.2k
Diana Jurk United States 28 340 0.2× 1.0k 0.7× 446 0.3× 3.1k 2.3× 1.5k 1.4× 42 7.4k
Bennett G. Childs United States 11 378 0.2× 973 0.6× 549 0.4× 4.1k 3.0× 2.1k 2.0× 12 9.1k
Maddalena Napolitano Italy 34 1.7k 0.9× 326 0.2× 163 0.1× 658 0.5× 985 0.9× 191 3.7k
Jolieke C. van der Pols Australia 34 805 0.4× 593 0.4× 579 0.4× 336 0.2× 112 0.1× 124 3.3k
Florence Debacq‐Chainiaux Belgium 31 542 0.3× 289 0.2× 350 0.2× 1.9k 1.4× 544 0.5× 71 3.9k

Countries citing papers authored by Jiali Han

Since Specialization
Citations

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

Fields of papers citing papers by Jiali Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiali Han

This figure shows the co-authorship network connecting the top 25 collaborators of Jiali Han. A scholar is included among the top collaborators of Jiali Han 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 Jiali Han. Jiali Han 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.
Han, Jiali, et al.. (2025). Long-Term Trends in Respiratory Syncytial Virus A Infections (2007–2024) in Korea. Diseases. 13(5). 147–147. 1 indexed citations
4.
Seo, Bojung, Sheng Yang, Eunyoung Cho, Abrar A. Qureshi, & Jiali Han. (2024). Association of sun-seeking behaviors with indoor tanning behavior in US white females during high school/college in Nurses’ Health Study II. BMC Public Health. 24(1). 162–162. 2 indexed citations
5.
Chan, Alfred A., et al.. (2023). Alcohol and Smoking Cessation as Potential Modulators for Smoking-Associated Psoriasis Risk in Postmenopausal Women: The Women’s Health Initiative. American Journal of Clinical Dermatology. 24(2). 325–332. 3 indexed citations
7.
Besson, Caroline, Amy Moore, Wenting Wu, et al.. (2021). Common genetic polymorphisms contribute to the association between chronic lymphocytic leukaemia and non-melanoma skin cancer. International Journal of Epidemiology. 50(4). 1325–1334. 5 indexed citations
8.
Sanna, Marianna, Xin Li, Alessia Visconti, et al.. (2020). Looking for Sunshine: Genetic Predisposition to Sun Seeking in 265,000 Individuals of European Ancestry. Journal of Investigative Dermatology. 141(4). 779–786. 6 indexed citations
9.
Tang, Huilin, Shuangshuang Fu, Suodi Zhai, et al.. (2018). Use of antihypertensive drugs and risk of keratinocyte carcinoma: A meta‐analysis of observational studies. Pharmacoepidemiology and Drug Safety. 27(3). 279–288. 22 indexed citations
10.
Shi, Qiong, Hongliang Liu, Peng Han, et al.. (2017). Genetic Variants in WNT2B and BTRC Predict Melanoma Survival. Journal of Investigative Dermatology. 137(8). 1749–1756. 5 indexed citations
11.
Liu, Xuesong, Matthew Genet, Jenna E. Haines, et al.. (2015). ZBTB7A Suppresses Melanoma Metastasis by Transcriptionally Repressing MCAM. Molecular Cancer Research. 13(8). 1206–1217. 34 indexed citations
12.
Wu, Shaowei, Jiali Han, Fengju Song, et al.. (2015). Caffeine Intake, Coffee Consumption, and Risk of Cutaneous Malignant Melanoma. Epidemiology. 26(6). 898–908. 37 indexed citations
13.
Chen, Chia‐Yen, Jiali Han, David J. Hunter, Peter Kraft, & Alkes L. Price. (2015). Explicit Modeling of Ancestry Improves Polygenic Risk Scores and BLUP Prediction. Genetic Epidemiology. 39(6). 427–438. 19 indexed citations
14.
Li, Wenqing, et al.. (2015). Personal history of rosacea and risk of incident cancer among women in the US. PMC. 1 indexed citations
15.
Wu, Shaowei, Jiali Han, Francine Laden, & Abrar A. Qureshi. (2014). Long-term Ultraviolet Flux, Other Potential Risk Factors, and Skin Cancer Risk: A Cohort Study. Cancer Epidemiology Biomarkers & Prevention. 23(6). 1080–1089. 122 indexed citations
16.
Zhang, Mingfeng, Xuehong Zhang, Abrar A. Qureshi, et al.. (2014). Association between Cutaneous Nevi and Breast Cancer in the Nurses' Health Study: A Prospective Cohort Study. PLoS Medicine. 11(6). e1001659–e1001659. 9 indexed citations
17.
Li, Wenqing, Abrar A. Qureshi, Kathleen C. Robinson, & Jiali Han. (2014). Sildenafil Use and Increased Risk of Incident Melanoma in US Men. JAMA Internal Medicine. 174(6). 964–964. 90 indexed citations
18.
Prescott, Jennifer, Mengmeng Du, Jason Wong, Jiali Han, & Immaculata De Vivo. (2012). Paternal age at birth is associated with offspring leukocyte telomere length in the nurses' health study. Human Reproduction. 27(12). 3622–3631. 72 indexed citations
19.
Qureshi, Abrar A., et al.. (2012). Obesity and the incidence of skin cancer in US Caucasians. Cancer Causes & Control. 23(5). 717–726. 68 indexed citations
20.
Nan, Hongmei, Mousheng Xu, Peter Kraft, et al.. (2011). Genome-wide association study identifies novel alleles associated with risk of cutaneous basal cell carcinoma and squamous cell carcinoma. Human Molecular Genetics. 20(18). 3718–3724. 74 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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