Ying Pan

2.5k total citations
93 papers, 1.5k citations indexed

About

Ying Pan is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Ying Pan has authored 93 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Endocrinology, Diabetes and Metabolism and 17 papers in Immunology. Recurrent topics in Ying Pan's work include Immune Cell Function and Interaction (9 papers), Diabetes Management and Research (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Ying Pan is often cited by papers focused on Immune Cell Function and Interaction (9 papers), Diabetes Management and Research (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). Ying Pan collaborates with scholars based in China, United States and Australia. Ying Pan's co-authors include Ambrose L. Cheung, Jinhong Zheng, Huiping Wang, Qianshan Tao, Shudao Xiong, Zhimin Zhai, Jinzhi Wang, Shao Zhong, Jianguo Wu and Lili Tao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Ying Pan

86 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Pan China 23 422 347 267 174 171 93 1.5k
Kelly L. Summers Canada 27 515 1.2× 751 2.2× 319 1.2× 134 0.8× 410 2.4× 66 2.2k
Stephen Chu‐Sung Hu Taiwan 25 554 1.3× 436 1.3× 617 2.3× 125 0.7× 380 2.2× 97 2.3k
Daniela Fanni Italy 23 652 1.5× 88 0.3× 288 1.1× 210 1.2× 150 0.9× 131 2.1k
Mohammad Hasan Sheikhha Iran 22 678 1.6× 187 0.5× 103 0.4× 166 1.0× 70 0.4× 133 1.7k
Lianhua Cui China 24 559 1.3× 93 0.3× 170 0.6× 154 0.9× 103 0.6× 63 1.5k
Xiaolin Fan United States 16 246 0.6× 198 0.6× 252 0.9× 128 0.7× 113 0.7× 46 1.5k
Yuko Morishima Japan 28 1.4k 3.3× 751 2.2× 188 0.7× 151 0.9× 229 1.3× 89 3.0k
Xin Yao China 28 906 2.1× 516 1.5× 433 1.6× 107 0.6× 176 1.0× 92 2.6k
Rahman Jamal Malaysia 27 1.0k 2.5× 181 0.5× 285 1.1× 58 0.3× 160 0.9× 145 2.5k
Brian M. Freed United States 29 538 1.3× 810 2.3× 452 1.7× 89 0.5× 338 2.0× 90 2.8k

Countries citing papers authored by Ying Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Pan. A scholar is included among the top collaborators of Ying Pan 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 Ying Pan. Ying Pan 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.
Tao, Yiming, Ning Zhang, Zhaoxiang Wang, et al.. (2025). SGLT2 Inhibitors Confer Cardiovascular Protection via the Gut-Kidney-Heart Axis: Mechanisms and Translational Perspectives. Journal of Cardiovascular Development and Disease. 12(12). 471–471. 1 indexed citations
2.
Liang, Fanrong, Jie Li, Yingmei Feng, et al.. (2025). Advances and prospects in Alzheimer's disease diagnosis and treatment using MOFs and COFs: Mechanism and AI-assisted strategies. Reactive and Functional Polymers. 219. 106601–106601.
3.
Wang, Zhaoxiang, Bing Lu, Li Zhang, et al.. (2024). Association between the atherogenic index of plasma and kidney stones: a nationally representative study. BMC Urology. 24(1). 179–179. 1 indexed citations
4.
5.
Zhao, Yunfeng, et al.. (2024). Causal association of lipoprotein-associated phospholipids on the risk of sepsis: a Mendelian randomization study. Frontiers in Endocrinology. 14. 1275132–1275132. 2 indexed citations
6.
Zhao, Yunfeng, et al.. (2024). Frailty and psychiatric disorders: A bidirectional Mendelian randomization study. Journal of Affective Disorders. 356. 346–355. 5 indexed citations
7.
Pan, Ying, et al.. (2024). Role of Triglyceride-Glucose Index in Type 2 Diabetes Mellitus and Its Complications. Diabetes Metabolic Syndrome and Obesity. Volume 17. 3325–3333. 11 indexed citations
8.
Duan, Suyan, Fang Lu, Rui Sun, et al.. (2024). 25(OH)D level and vascular lesion scores in kidney histopathology as risk-stratification tool for predicting renal progression in people with type 2 diabetes. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 18(5). 103037–103037.
9.
Wang, Qianqian, Zhaoxiang Wang, Fengyan Tang, et al.. (2024). The serum uric acid to serum creatinine ratio is an independent risk factor for type 2 diabetes in community-dwelling elderly: A longitudinal analysis. Nutrition Metabolism and Cardiovascular Diseases. 34(12). 2749–2756. 1 indexed citations
10.
Zhao, Yu, et al.. (2023). Effects of empagliflozin on serum uric acid level of patients with type 2 diabetes mellitus: a systematic review and meta‐analysis. Diabetology & Metabolic Syndrome. 15(1). 202–202. 8 indexed citations
11.
Liu, Ziqing, Zijian Tian, Qian Li, et al.. (2023). CYP2C19 Loss‐of‐Function Variants Associated With Long‐Term Ischemic Stroke Events During Clopidogrel Treatment in the Chinese Population. Clinical Pharmacology & Therapeutics. 114(5). 1126–1133. 4 indexed citations
12.
Pan, Ying, et al.. (2023). PMAT Variant Rs3889348 is Associated with Metformin-Induced Gastrointestinal among Chinese Type 2 Diabetes Patients. Pharmacogenomics. 24(10). 551–560. 2 indexed citations
13.
Pan, Ying, et al.. (2022). Circulating cell‐free circRNA panel predicted tumorigenesis and development of colorectal cancer. Journal of Clinical Laboratory Analysis. 36(5). e24431–e24431. 9 indexed citations
14.
Pan, Ying, Shao Zhong, Kaixin Zhou, et al.. (2021). Association between Diabetes Complications and the Triglyceride-Glucose Index in Hospitalized Patients with Type 2 Diabetes. Journal of Diabetes Research. 2021. 1–6. 66 indexed citations
15.
Wang, Jiping, et al.. (2020). PIF1 Affects the Proliferation and Apoptosis of Cervical Cancer Cells by Influencing TERT. SHILAP Revista de lepidopterología. 1 indexed citations
16.
Chen, Hong, Ying Pan, Zhi Wang, et al.. (2013). Hypermethylation and Clinicopathological Significance of RASAL1 Gene in Gastric Cancer. Asian Pacific Journal of Cancer Prevention. 14(11). 6261–6265. 11 indexed citations
17.
Pan, Ying, Shao Zhong, HU Ren-ming, & Wei Gong. (2012). Mutation of 3β-hydroxysteroid dehydrogenase (3β-HSD) at the 3′-untranslated region is associated with adrenocortical insufficiency. Molecular Medicine Reports. 6(6). 1305–1308. 1 indexed citations
18.
Pan, Ying. (2011). Detection of tlh and tdh expression differences in Vibrio parahaemolyticus by real-time quantitative PCR. Microbiology, China. 1 indexed citations
19.
Chen, Heru, et al.. (2009). Water Soluble Star‐block Copolypeptides: Towards Biodegradable Nanocarriers for Versatile and Simultaneous Encapsulation. Macromolecular Rapid Communications. 30(11). 920–924. 21 indexed citations
20.
Pan, Ying. (2008). Analysis of the trend of perinatal congenital heart disease in Beijing area over 10 year period. 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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