Yuting Han

1.3k total citations · 1 hit paper
35 papers, 786 citations indexed

About

Yuting Han is a scholar working on Epidemiology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Yuting Han has authored 35 papers receiving a total of 786 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 5 papers in Molecular Biology and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Yuting Han's work include Chronic Disease Management Strategies (6 papers), Pneumonia and Respiratory Infections (3 papers) and Advanced Statistical Modeling Techniques (2 papers). Yuting Han is often cited by papers focused on Chronic Disease Management Strategies (6 papers), Pneumonia and Respiratory Infections (3 papers) and Advanced Statistical Modeling Techniques (2 papers). Yuting Han collaborates with scholars based in China, United Kingdom and United States. Yuting Han's co-authors include Canqing Yu, Yao He, Ling Yang, Zhengming Chen, Jun Lv, Huaidong Du, Liming Lee, J Lyu, Yu Guo and Yiping Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurology and The Plant Journal.

In The Last Decade

Yuting Han

30 papers receiving 780 citations

Hit Papers

Lifestyle, cardiometabolic disease, and multimorbidity in... 2021 2026 2022 2024 2021 50 100 150 200
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.

  1. Lifestyle, cardiometabolic disease, and multimorbidity in a prospective Chinese study
    2021 243 citations Yuting Han, Yizhen Hu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuting Han China 11 178 133 130 118 105 35 786
Yanzhi Li China 12 62 0.3× 155 1.2× 69 0.5× 61 0.5× 31 0.3× 64 634
Meina Liu China 19 82 0.5× 68 0.5× 122 0.9× 94 0.8× 200 1.9× 79 1.1k
Cuili Wang China 23 154 0.9× 71 0.5× 51 0.4× 167 1.4× 273 2.6× 133 1.8k
Yaling Zhao China 25 196 1.1× 159 1.2× 414 3.2× 48 0.4× 130 1.2× 114 2.1k
Yanping Wang China 23 140 0.8× 48 0.4× 96 0.7× 37 0.3× 70 0.7× 93 1.9k
K. Liu United States 15 110 0.6× 468 3.5× 363 2.8× 50 0.4× 64 0.6× 20 1.3k
Yuqing Bai China 11 337 1.9× 23 0.2× 98 0.8× 85 0.7× 218 2.1× 44 848
Jau‐Yuan Chen Taiwan 17 156 0.9× 97 0.7× 114 0.9× 28 0.2× 43 0.4× 74 911
Esther Molina‐Montes Spain 23 185 1.0× 107 0.8× 662 5.1× 31 0.3× 132 1.3× 69 1.9k

Countries citing papers authored by Yuting Han

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuting Han

This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Han. A scholar is included among the top collaborators of Yuting 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 Yuting Han. Yuting 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.
Wang, Yi, Hongyu Wang, Ye Li, et al.. (2025). Gitelman syndrome: diagnostic challenges and therapeutic strategies. Clinica Chimica Acta. 576. 120432–120432. 1 indexed citations
2.
Song, Mingyu, Yuting Han, LV Jun, et al.. (2024). Association of autosomal mosaic chromosomal alterations with risk of bladder cancer in Chinese adults: a prospective cohort study. Cell Death and Disease. 15(9). 706–706.
3.
Chen, Hua, et al.. (2024). Best Evidence Summary for Management of Older People With Type 2 Diabetes Mellitus Using ‘Internet Plus Nursing Services’. International Journal of Older People Nursing. 19(6). e12657–e12657. 1 indexed citations
4.
Cai, Jian‐Piao, Anthony Raymond Tam, Kun Wang, et al.. (2023). Determination of seroprevalence and kinetics of humoral response using mpox virus A29 protein. SHILAP Revista de lepidopterología. 3(1). 168–168. 4 indexed citations
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Han, Yuting, et al.. (2023). The Relationship Between Parenting Stress and Social Skills of Preschool Children. South Asian Journal of Social Sciences and Humanities. 4(2). 118–132. 2 indexed citations
8.
Han, Yuting, et al.. (2023). The Relationship Between Involvement and Perceived Social Support among Parents of Preschool Children. International Journal of Academic Research in Business and Social Sciences. 13(3).
9.
Jiang, Zhehan, et al.. (2023). Empirical ensemble equating under the NEAT design inspired by machine learning ideology. Methodology. 19(2). 116–132. 1 indexed citations
10.
Han, Yuting, Yizhen Hu, Canqing Yu, et al.. (2023). Duration-dependent impact of cardiometabolic diseases and multimorbidity on all-cause and cause-specific mortality: a prospective cohort study of 0.5 million participants. Cardiovascular Diabetology. 22(1). 135–135. 15 indexed citations
11.
Pang, Yuanjie, Yuting Han, Canqing Yu, et al.. (2022). The role of lifestyle factors on comorbidity of chronic liver disease and cardiometabolic disease in Chinese population: A prospective cohort study. The Lancet Regional Health - Western Pacific. 28. 100564–100564. 9 indexed citations
12.
Jiang, Zhehan, et al.. (2022). The NEAT Equating Via Chaining Random Forests in the Context of Small Sample Sizes: A Machine-Learning Method. Educational and Psychological Measurement. 83(5). 984–1006. 2 indexed citations
13.
Hu, Yizhen, Yuting Han, Canqing Yu, et al.. (2022). The hospitalization burden of all-cause pneumonia in China: A population-based study, 2009–2017. The Lancet Regional Health - Western Pacific. 22. 100443–100443. 14 indexed citations
14.
Song, Zimin, Ruotong Yang, Wenxiu Wang, et al.. (2021). Association of healthy lifestyle including a healthy sleep pattern with incident type 2 diabetes mellitus among individuals with hypertension. Cardiovascular Diabetology. 20(1). 239–239. 37 indexed citations
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Han, Yuting, et al.. (2020). Aging in China: perspectives on public health. Global Health Journal. 4(1). 11–17. 140 indexed citations
18.
Liu, Yanyan, et al.. (2020). Advanced glycation end-products suppress autophagy by AMPK/mTOR signaling pathway to promote vascular calcification. Molecular and Cellular Biochemistry. 471(1-2). 91–100. 23 indexed citations
19.
Zhu, Nanbo, Canqing Yu, Yu Guo, et al.. (2019). Adherence to a healthy lifestyle and all-cause and cause-specific mortality in Chinese adults: a 10-year prospective study of 0.5 million people. International Journal of Behavioral Nutrition and Physical Activity. 16(1). 98–98. 71 indexed citations
20.
Wang, Le, et al.. (2018). Disability Adjusted Life Years for Liver Cancer in China: Trend Analysis from 1990-2016 and Future Prediction. Value in Health. 21. S18–S18. 1 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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