Dan Yan

1.3k total citations · 1 hit paper
33 papers, 955 citations indexed

About

Dan Yan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Complementary and alternative medicine. According to data from OpenAlex, Dan Yan has authored 33 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 6 papers in Complementary and alternative medicine. Recurrent topics in Dan Yan's work include Gut microbiota and health (11 papers), Computational Drug Discovery Methods (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Dan Yan is often cited by papers focused on Gut microbiota and health (11 papers), Computational Drug Discovery Methods (6 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Dan Yan collaborates with scholars based in China, United States and Hong Kong. Dan Yan's co-authors include Zhengdi Wang, Tingting Hu, Ruizheng Liang, Kejun Deng, Weicheng Shen, Min Wei, Hua Tang, Hui Yang, Hao Lin and Hao Lin and has published in prestigious journals such as The Science of The Total Environment, Chemical Engineering Journal and The Journal of Infectious Diseases.

In The Last Decade

Dan Yan

32 papers receiving 938 citations

Hit Papers

Risk Prediction of Diabetes: Big data mining with fusion ... 2021 2026 2022 2024 2021 40 80 120
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. Risk Prediction of Diabetes: Big data mining with fusion of multifarious physical examination indicators
    2021 144 citations Hui Yang, Kejun Deng 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
Dan Yan China 15 427 202 155 95 83 33 955
Tarun Kumar Upadhyay India 19 357 0.8× 142 0.7× 125 0.8× 80 0.8× 21 0.3× 97 1.3k
Haleema Sadia Pakistan 20 456 1.1× 122 0.6× 64 0.4× 79 0.8× 10 0.1× 87 1.2k
Claudriana Locatelli Brazil 15 276 0.6× 70 0.3× 67 0.4× 31 0.3× 66 0.8× 56 986
Md. Shahedur Rahman Bangladesh 17 410 1.0× 41 0.2× 77 0.5× 47 0.5× 45 0.5× 57 1.0k
Tian Tang China 15 274 0.6× 83 0.4× 32 0.2× 22 0.2× 62 0.7× 66 883
Farid S. Ataya Saudi Arabia 16 320 0.7× 35 0.2× 84 0.5× 18 0.2× 20 0.2× 127 919
Zhe Sun China 14 276 0.6× 125 0.6× 42 0.3× 40 0.4× 39 0.5× 50 671
Neeraj K. Saini India 15 421 1.0× 51 0.3× 55 0.4× 72 0.8× 78 0.9× 53 1.2k
Noor Hasima Nagoor Malaysia 21 585 1.4× 78 0.4× 161 1.0× 45 0.5× 7 0.1× 40 1.3k
Seyed Mohsen Foroutan Iran 19 180 0.4× 100 0.5× 47 0.3× 28 0.3× 10 0.1× 58 1.0k

Countries citing papers authored by Dan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Dan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Yan. A scholar is included among the top collaborators of Dan Yan 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 Dan Yan. Dan Yan 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.
Yan, Dan, et al.. (2025). T-2 toxin induces gut and liver injury through triggering gut microbiota dysbiosis. Poultry Science. 104(10). 105577–105577.
2.
Yang, Xinli & Dan Yan. (2024). Function, mechanism of action, metabolism, and commercial application of Lonicera japonica: a review. Food Science and Human Wellness. 14(3). 9250051–9250051. 1 indexed citations
3.
Zeng, Jiayu, Jianglan Long, Aiting Wang, et al.. (2024). Rapid multichannel fluorescent probe assay for CYP450 inhibition screening and drug interaction monitoring. Microchemical Journal. 198. 110185–110185. 1 indexed citations
4.
Liu, Xiaowei, Xiaolei Ren, Xiaolin He, et al.. (2024). Predicting coronary heart disease in Chinese diabetics using machine learning. Computers in Biology and Medicine. 169. 107952–107952. 29 indexed citations
5.
Liu, Xiaowei, Tianyu Shi, Tianyu Wang, et al.. (2024). Predicting the role of the human gut microbiome in type 1 diabetes using machine-learning methods. Briefings in Functional Genomics. 23(4). 464–474. 9 indexed citations
6.
Long, Jianglan, et al.. (2024). Integrated biomarker profiling for predicting the response of type 2 diabetes to metformin. Diabetes Obesity and Metabolism. 26(8). 3439–3447. 1 indexed citations
7.
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9.
Long, Jianglan, et al.. (2024). Structural characterization of Astragalus polysaccharide-D1 and its improvement of low-dose metformin effect by enriching Staphylococcus lentus. International Journal of Biological Macromolecules. 272(Pt 1). 132860–132860. 9 indexed citations
10.
Long, Jianglan, et al.. (2024). Lactobacillus murinus alleviates insulin resistance via promoting L-citrulline synthesis. Journal of Endocrinological Investigation. 48(4). 1005–1015. 7 indexed citations
11.
Li, Bao, Ying Zhang, Guoying Zhang, Dechun Jiang, & Dan Yan. (2023). Abnormal proliferation of gut mycobiota contributes to the aggravation of Type 2 diabetes. Communications Biology. 6(1). 226–226. 15 indexed citations
12.
Yang, Hui, Xiaolei Ren, Xiaolin He, et al.. (2023). A gender specific risk assessment of coronary heart disease based on physical examination data. npj Digital Medicine. 6(1). 136–136. 32 indexed citations
13.
Xie, Xueqin, Changchun Wu, Yuhe Yang, et al.. (2023). Benefits and risks of drug combination therapy for diabetes mellitus and its complications: a comprehensive review. Frontiers in Endocrinology. 14. 1301093–1301093. 39 indexed citations
14.
Yang, Yuhe R., Jiaan Qin, Jian Li, et al.. (2022). DeepIDC: A Prediction Framework of Injectable Drug Combination Based on Heterogeneous Information and Deep Learning. Clinical Pharmacokinetics. 61(12). 1749–1759. 60 indexed citations
15.
Zhang, Ying, Jianglan Long, Xinyu Yang, et al.. (2022). Polystyrene microplastic exposure induces insulin resistance in mice via dysbacteriosis and pro-inflammation. The Science of The Total Environment. 838(Pt 1). 155937–155937. 93 indexed citations
16.
17.
Hu, Tingting, Zhengdi Wang, Weicheng Shen, et al.. (2021). Recent advances in innovative strategies for enhanced cancer photodynamic therapy. Theranostics. 11(7). 3278–3300. 156 indexed citations
18.
Xin, Jinge, Dong Zeng, Hesong Wang, et al.. (2019). Probiotic Lactobacillus johnsonii BS15 Promotes Growth Performance, Intestinal Immunity, and Gut Microbiota in Piglets. Probiotics and Antimicrobial Proteins. 12(1). 184–193. 71 indexed citations
19.
Yue, Shi‐Jun, Wenxiao Wang, Jingao Yu, et al.. (2019). Gut microbiota modulation with traditional Chinese medicine: A system biology-driven approach. Pharmacological Research. 148. 104453–104453. 80 indexed citations
20.
Luo, Jiaoyang, Dan Yan, Da Zhang, et al.. (2011). Application of 12S rRNA Barcodes for the Identification of Animal-Derived Drugs. Journal of Pharmacy & Pharmaceutical Sciences. 14(3). 358–358. 5 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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