Yating Li

564 total citations
31 papers, 407 citations indexed

About

Yating Li is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Yating Li has authored 31 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 12 papers in Hematology and 10 papers in Surgery. Recurrent topics in Yating Li's work include Pancreatic function and diabetes (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Acute Myeloid Leukemia Research (4 papers). Yating Li is often cited by papers focused on Pancreatic function and diabetes (8 papers), Multiple Myeloma Research and Treatments (7 papers) and Acute Myeloid Leukemia Research (4 papers). Yating Li collaborates with scholars based in China, United States and Netherlands. Yating Li's co-authors include Cheng‐Ru Wu, Pi‐Fang Hsu, Yunxia Zhu, Xiao Han, Weiyan You, Xiaoai Chang, Xiaoyan Qu, Yuncai Zhou, Zhengxu Sun and Yi Sun and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Yating Li

28 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yating Li China	10	187	116	107	50	48	31	407
Ulus Ali Şanlı Türkiye	13	186 1.0×	74 0.6×	46 0.4×	19 0.4×	26 0.5×	49	460
Qingbai Liu China	13	314 1.7×	127 1.1×	54 0.5×	48 1.0×	17 0.4×	24	507
Jiali Fang China	8	103 0.6×	35 0.3×	142 1.3×	32 0.6×	15 0.3×	30	431
Andrea Coppola Italy	15	229 1.2×	42 0.4×	52 0.5×	229 4.6×	28 0.6×	39	787
Xinglong Qu China	10	188 1.0×	137 1.2×	44 0.4×	121 2.4×	22 0.5×	28	516
Chong Zhong China	17	236 1.3×	206 1.8×	160 1.5×	43 0.9×	20 0.4×	66	878
Miseon Kim South Korea	19	221 1.2×	137 1.2×	188 1.8×	61 1.2×	29 0.6×	76	1.0k
Jing Quan Lim Singapore	15	242 1.3×	189 1.6×	97 0.9×	114 2.3×	49 1.0×	33	826
Jianjian Chen China	13	208 1.1×	68 0.6×	99 0.9×	41 0.8×	26 0.5×	40	567

Countries citing papers authored by Yating Li

Since Specialization

Citations

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

Fields of papers citing papers by Yating Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yating Li

This figure shows the co-authorship network connecting the top 25 collaborators of Yating Li. A scholar is included among the top collaborators of Yating Li 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 Yating Li. Yating Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wang, Fuyu, et al.. (2025). Advances in targeting glycogen synthase kinase 3β for diabetes therapy. Bioorganic Chemistry. 166. 109051–109051.

Lv, Tingting, Lu He, Wei Tang, et al.. (2025). Endocrine-exocrine miR-503-322 drives aging-associated pancreatitis via targeting MKNK1 in acinar cells. Nature Communications. 16(1). 2613–2613. 2 indexed citations

Li, Yating, Ting Wang, Yi‐Qun Zhan, et al.. (2024). GPS2 promotes erythroid differentiation in K562 erythroleukemia cells primarily via NCOR1. International Journal of Hematology. 120(2). 157–166. 1 indexed citations

Li, Yating, Jiamin Zhao, Weipeng Zhang, et al.. (2024). Neonatal vitamin A supplementation improves sheep fertility potential. Frontiers in Veterinary Science. 11. 1370576–1370576. 1 indexed citations

Zhang, Bo, Junting Cao, Yating Li, et al.. (2024). Maternal riboflavin deficiency causes embryonic defects by activating ER stress-induced hepatocyte apoptosis pathway. Free Radical Biology and Medicine. 224. 418–435. 3 indexed citations

Li, Yating, Na Hu, Ke Min, et al.. (2024). Dynamic Single-Cell RNA-Seq reveals mechanism of Selinexor-Resistance in Chronic myeloid leukemia. International Immunopharmacology. 134. 112212–112212. 5 indexed citations

Li, Yating, et al.. (2024). The dysregulation of PARP9 expression is linked to apoptosis and DNA damage in gastric cancer cells. PLoS ONE. 19(12). e0316476–e0316476.

Sun, Zhengxu, et al.. (2023). Identification of evolutionary mechanisms of myelomatous effusion by single-cell RNA sequencing. Blood Advances. 7(15). 4148–4159. 9 indexed citations

Wu, Tijun, Zhi Cai, Bin Qian, et al.. (2023). Lentinan confers protection against type 1 diabetes by inducing regulatory T cell in spontaneous non-obese diabetic mice. Nutrition and Diabetes. 13(1). 4–4. 5 indexed citations

10.

Zhou, Yuncai, Wei Tang, Yan Zhang, et al.. (2023). β-Cell miRNA-503-5p Induced by Hypomethylation and Inflammation Promotes Insulin Resistance and β-Cell Decompensation. Diabetes. 73(1). 57–74. 9 indexed citations

11.

Guo, Rui, Yating Li, Zhengxu Sun, et al.. (2023). Liquid extramedullary disease in multiple myeloma strongly predicts a poor prognosis and is associated with bortezomib resistance gene upregulation. Clinica Chimica Acta. 548. 117497–117497. 1 indexed citations

12.

Zheng, Tingting, Panpan Chen, Yuanlin Xu, et al.. (2023). Comprehensive analysis of thirteen-gene panel with prognosis value in Multiple Myeloma. Cancer Biomarkers. 38(4). 583–593.

13.

Li, Yating, Zhengxu Sun, & Xiaoyan Qu. (2022). Advances in the treatment of extramedullary disease in multiple myeloma. Translational Oncology. 22. 101465–101465. 17 indexed citations

14.

Qian, Bin, Yang� Yang, Jiahui Wang, et al.. (2021). M1 macrophage-derived exosomes impair beta cell insulin secretion via miR-212-5p by targeting SIRT2 and inhibiting Akt/GSK-3β/β-catenin pathway in mice. Diabetologia. 64(9). 2037–2051. 74 indexed citations

15.

Li, Yating, et al.. (2021). Pure erythroid leukemia subsequent to acute myelomonocytic leukemia. Medicine. 100(15). e25528–e25528. 1 indexed citations

16.

Huang, Qiqing, Weiyan You, Yating Li, et al.. (2018). Glucolipotoxicity-Inhibited miR-299-5p Regulates Pancreatic β-Cell Function and Survival. Diabetes. 67(11). 2280–2292. 28 indexed citations

17.

Chen, Zhuang‐Gui, Lifen Yang, Yating Li, et al.. (2016). Neonatal Cutaneous Invasive Aspergillosis Accompanied by Hemophagocytic Lymphohistocytosis. The Pediatric Infectious Disease Journal. 36(4). 423–425. 4 indexed citations

18.

Li, Yating, Tao Zhang, Yuncai Zhou, et al.. (2016). A Presenilin/Notch1 pathway regulated by miR-375, miR-30a, and miR-34a mediates glucotoxicity induced-pancreatic beta cell apoptosis. Scientific Reports. 6(1). 36136–36136. 17 indexed citations

19.

Li, Yating, Changwen Jing, Xinyi Tang, et al.. (2016). LXR activation causes G1/S arrest through inhibiting SKP2 expression in MIN6 pancreatic beta cells. Endocrine. 53(3). 689–700. 4 indexed citations

20.

Hsu, Pi‐Fang, Cheng‐Ru Wu, & Yating Li. (2007). Selection of infectious medical waste disposal firms by using the analytic hierarchy process and sensitivity analysis. Waste Management. 28(8). 1386–1394. 88 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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