Xurui Jin

1.2k total citations · 1 hit paper
30 papers, 718 citations indexed

About

Xurui Jin is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Health. According to data from OpenAlex, Xurui Jin has authored 30 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 6 papers in Molecular Biology and 6 papers in Health. Recurrent topics in Xurui Jin's work include Nutritional Studies and Diet (6 papers), Health disparities and outcomes (5 papers) and Dementia and Cognitive Impairment Research (4 papers). Xurui Jin is often cited by papers focused on Nutritional Studies and Diet (6 papers), Health disparities and outcomes (5 papers) and Dementia and Cognitive Impairment Research (4 papers). Xurui Jin collaborates with scholars based in China, United States and Australia. Xurui Jin's co-authors include Lijing L. Yan, Enying Gong, Carolyn S.P. Lam, Chanchal Chandramouli, Yi Zeng, Zhangming Niu, Yaxi Li, John S. Ji, Yao Yao and Xiangxiang Zeng and has published in prestigious journals such as The Lancet, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Xurui Jin

29 papers receiving 710 citations

Hit Papers

Women’s Participation in Cardiovascular Clinical Trials F... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xurui Jin China 14 181 151 115 88 80 30 718
Benjamin Seligman United States 11 57 0.3× 153 1.0× 124 1.1× 82 0.9× 36 0.5× 28 814
Man Ki Kwok Hong Kong 21 368 2.0× 98 0.6× 227 2.0× 209 2.4× 99 1.2× 87 1.4k
Theodore Feldman United States 18 214 1.2× 469 3.1× 206 1.8× 45 0.5× 50 0.6× 57 1.3k
Carla Fornari Italy 15 69 0.4× 144 1.0× 53 0.5× 54 0.6× 38 0.5× 68 752
Barbra A. Dickerman United States 20 195 1.1× 72 0.5× 184 1.6× 154 1.8× 91 1.1× 46 1.4k
Dong‐Woo Choi South Korea 17 90 0.5× 62 0.4× 149 1.3× 47 0.5× 29 0.4× 61 733
Daniel B. Hawcutt United Kingdom 19 74 0.4× 38 0.3× 219 1.9× 124 1.4× 62 0.8× 111 1.3k
Aafje Dotinga Netherlands 9 166 0.9× 66 0.4× 144 1.3× 85 1.0× 68 0.8× 17 858
Tsung Yu Taiwan 18 133 0.7× 95 0.6× 118 1.0× 36 0.4× 71 0.9× 106 946

Countries citing papers authored by Xurui Jin

Since Specialization
Citations

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

Fields of papers citing papers by Xurui Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xurui Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xurui Jin. A scholar is included among the top collaborators of Xurui Jin 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 Xurui Jin. Xurui Jin 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.
Lv, Wenxing, Bowen Tang, Chao Ma, et al.. (2025). In silico modeling of targeted protein degradation. European Journal of Medicinal Chemistry. 289. 117432–117432. 7 indexed citations
2.
Xiong, Shangzhi, Rahul Malhotra, Enying Gong, et al.. (2024). Community efficacy for non-communicable disease management (COEN): Conceptualization and measurement. SHILAP Revista de lepidopterología. 4(8). e0003549–e0003549.
4.
Jiang, Yinghui, Shuting Jin, Xurui Jin, et al.. (2023). Pharmacophoric-constrained heterogeneous graph transformer model for molecular property prediction. Communications Chemistry. 6(1). 60–60. 39 indexed citations
8.
Jin, Xurui, Huashuai Chen, Yi Zeng, et al.. (2022). Associations of Alcohol Dehydrogenase and Aldehyde Dehydrogenase Polymorphism With Cognitive Impairment Among the Oldest-Old in China. Frontiers in Aging Neuroscience. 13. 710966–710966. 7 indexed citations
9.
Yan, Lijing L., Chanchal Chandramouli, Xurui Jin, et al.. (2022). Machine learning-based prediction of infarct size in patients with ST-segment elevation myocardial infarction: A multi-center study. International Journal of Cardiology. 375. 131–141. 2 indexed citations
10.
Wu, Fang, Shuting Jin, Yinghui Jiang, et al.. (2022). Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding. Advanced Science. 9(33). e2203796–e2203796. 27 indexed citations
11.
Yan, Lijing L., Chaoyun Li, Siyu Zou, et al.. (2022). Healthy eating and all-cause mortality among Chinese aged 80 years or older. International Journal of Behavioral Nutrition and Physical Activity. 19(1). 60–60. 25 indexed citations
12.
Jin, Xurui, Yan Zhang, Enying Gong, et al.. (2021). Association of APOE ε4 genotype and lifestyle with cognitive function among Chinese adults aged 80 years and older: A cross-sectional study. PLoS Medicine. 18(6). e1003597–e1003597. 83 indexed citations
13.
Cao, Xingqi, Xurui Jin, He Liu, et al.. (2021). A Machine Learning-Based Aging Measure Among Middle-Aged and Older Chinese Adults: The China Health and Retirement Longitudinal Study. Frontiers in Medicine. 8. 698851–698851. 13 indexed citations
14.
Jin, Xurui, Shangzhi Xiong, Changzheng Yuan, et al.. (2021). Apolipoprotein E Genotype, Meat, Fish, and Egg Intake in Relation to Mortality Among Older Adults: A Longitudinal Analysis in China. Frontiers in Medicine. 8. 697389–697389. 3 indexed citations
15.
Li, Yaxi, et al.. (2021). Cognitive impairment and all‐cause mortality among Chinese adults aged 80 years or older. Brain and Behavior. 11(10). e2325–e2325. 20 indexed citations
16.
Fan, Qiping, Tasmiah Nuzhath, Md Mahbub Hossain, et al.. (2021). Changes in Levels and Determinants of Maternal Health Service Utilization in Ethiopia: Comparative Analysis of Two Rounds Ethiopian Demographic and Health Surveys. Maternal and Child Health Journal. 25(10). 1595–1606. 7 indexed citations
17.
Gong, Enying, Xurui Jin, Yishan Liu, et al.. (2020). Quality, Functionality, and Features of Chinese Mobile Apps for Diabetes Self-Management: Systematic Search and Evaluation of Mobile Apps. JMIR mhealth and uhealth. 8(4). e14836–e14836. 36 indexed citations
18.
Jin, Xurui, Shangzhi Xiong, Sang-Yhun Ju, et al.. (2020). Serum 25-Hydroxyvitamin D, Albumin, and Mortality Among Chinese Older Adults: A Population-based Longitudinal Study. The Journal of Clinical Endocrinology & Metabolism. 105(8). 2762–2770. 25 indexed citations
19.
Liu, Linsheng, Xurui Jin, Yang-feng Wu, et al.. (2020). A Novel Dried Blood Spot Detection Strategy for Characterizing Cardiovascular Diseases. Frontiers in Cardiovascular Medicine. 7. 542519–542519. 6 indexed citations
20.
Yao, Yao, et al.. (2020). Residential proximity to major roadways and cognitive function among Chinese adults 65 years and older. The Science of The Total Environment. 766. 142607–142607. 33 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026