Aimin Yang

3.9k total citations · 1 hit paper
172 papers, 2.5k citations indexed

About

Aimin Yang is a scholar working on Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis and Molecular Biology. According to data from OpenAlex, Aimin Yang has authored 172 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Endocrinology, Diabetes and Metabolism, 35 papers in Health, Toxicology and Mutagenesis and 32 papers in Molecular Biology. Recurrent topics in Aimin Yang's work include Diabetes Treatment and Management (28 papers), Heavy Metal Exposure and Toxicity (21 papers) and Metabolism, Diabetes, and Cancer (19 papers). Aimin Yang is often cited by papers focused on Diabetes Treatment and Management (28 papers), Heavy Metal Exposure and Toxicity (21 papers) and Metabolism, Diabetes, and Cancer (19 papers). Aimin Yang collaborates with scholars based in China, Hong Kong and United States. Aimin Yang's co-authors include Elaine Chow, Juliana C.N. Chan, Ronald C.W., Eric S. H. Lau, Andrea O. Y. Luk, Alice P.S. Kong, Hongjiang Wu, Ning Cheng, Guimin Hao and Jing Yang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Aimin Yang

160 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

Ultra-durable cell-free bioactive hydrogel with fast shape memory and on-demand drug release for cartilage regeneration

2023 97 citations Aimin Yang et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aimin Yang China	30	718	515	366	277	268	172	2.5k
Chi Chen China	34	644 0.9×	609 1.2×	334 0.9×	254 0.9×	545 2.0×	154	3.2k
Yana Bai China	23	544 0.8×	647 1.3×	244 0.7×	130 0.5×	194 0.7×	96	2.0k
Zhen‐Yu Zhang Belgium	30	466 0.6×	189 0.4×	495 1.4×	187 0.7×	227 0.8×	197	3.6k
Min Joo Kim South Korea	33	694 1.0×	885 1.7×	443 1.2×	134 0.5×	289 1.1×	153	3.1k
Ming Zhang China	33	419 0.6×	647 1.3×	349 1.0×	677 2.4×	468 1.7×	150	3.0k
Scott A. Venners United States	26	975 1.4×	131 0.3×	224 0.6×	258 0.9×	148 0.6×	70	2.7k
Paolo Crosignani Italy	31	734 1.0×	286 0.6×	420 1.1×	605 2.2×	554 2.1×	91	3.6k
H‐Erich Wichmann Germany	31	1.6k 2.2×	168 0.3×	593 1.6×	260 0.9×	442 1.6×	52	4.4k
Chong Shen China	28	405 0.6×	512 1.0×	534 1.5×	435 1.6×	481 1.8×	189	3.1k

Countries citing papers authored by Aimin Yang

Since Specialization

Citations

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

Fields of papers citing papers by Aimin Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aimin Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Aimin Yang. A scholar is included among the top collaborators of Aimin Yang 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 Aimin Yang. Aimin Yang 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

Hua, Rong, Mai Shi, Elaine Chow, Aimin Yang, & Yin Ting Cheung. (2025). Genetic evidence for the effects of glucokinase activation on frailty‐related outcomes: A Mendelian randomisation study. Diabetes Obesity and Metabolism. 27(6). 3072–3083.

Chong, Ka Chun, Katherine Min Jia, Christopher Boyer, et al.. (2025). SARS-CoV-2 rebound and post-acute mortality and hospitalization among patients admitted with COVID-19: cohort study. Nature Communications. 16(1). 6924–6924. 2 indexed citations

Li, Huimin, Jing Yang, Gary Wong, et al.. (2025). Microplastic exposure in the lungs of young children and its associations with allergic rhinitis: A cross-sectional study in China. PubMed. 4(4). 100193–100193. 1 indexed citations

Yang, Jing, et al.. (2024). Distributions and Trends of the Global Burden of DKD Attributable to Lead Exposure: A Systematic Analysis of GBD from 1990 to 2019. Biological Trace Element Research. 203(1). 48–60. 2 indexed citations

Yang, Aimin, et al.. (2024). HAO2 protects from proximal tubular cells injured in rats with chronic kidney disease by promoting fatty acid metabolic processes. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(7). 167342–167342. 2 indexed citations

Zhang, Xinge, Hongjiang Wu, Eric S. H. Lau, et al.. (2024). Health impacts of new‐onset diabetes in women post‐gestational diabetes mellitus: Insights from Hong Kong's territory‐wide data. Journal of Diabetes Investigation. 15(6). 772–781. 3 indexed citations

Cheung, Johnny T. K., Aimin Yang, Hongjiang Wu, et al.. (2024). Association of dipeptidyl peptidase‐4 inhibitor initiation at glycated haemoglobin <7.5% with reduced major clinical events mediated by low glycated haemoglobin variability. Diabetes Obesity and Metabolism. 26(8). 3339–3351. 3 indexed citations

Wu, Hongjiang, Aimin Yang, Eric S. H. Lau, et al.. (2024). 1-year weight change after diabetes diagnosis and long-term incidence and sustainability of remission of type 2 diabetes in real-world settings in Hong Kong: An observational cohort study. PLoS Medicine. 21(1). e1004327–e1004327. 9 indexed citations

Lau, Eric S. H., Aimin Yang, Hongjiang Wu, et al.. (2023). Temporal associations of diabetes‐related complications with health‐related quality of life decrements in Chinese patients with type 2 diabetes: A prospective study among 19 322 adults—Joint Asia Diabetes Evaluation (JADE) register (2007–2018). Journal of Diabetes. 16(6). e13503–e13503. 6 indexed citations

10.

Cheung, Johnny T. K., Aimin Yang, Hongjiang Wu, et al.. (2023). Early treatment with dipeptidyl‐peptidase 4 inhibitors reduces glycaemic variability and delays insulin initiation in type 2 diabetes: A propensity score‐matched cohort study. Diabetes/Metabolism Research and Reviews. 40(1). e3711–e3711. 6 indexed citations

11.

Wu, Hongjiang, Aimin Yang, Eric S. H. Lau, et al.. (2023). Age- and sex-specific hospital bed-day rates in people with and without type 2 diabetes: A territory-wide population-based cohort study of 1.5 million people in Hong Kong. PLoS Medicine. 20(8). e1004261–e1004261. 11 indexed citations

12.

Wu, Hongjiang, Eric S. H. Lau, Aimin Yang, et al.. (2023). Real world evidence of clinical predictors of glycaemic response to glucose‐lowering drugs among Chinese with type 2 diabetes. Diabetes/Metabolism Research and Reviews. 39(4). e3615–e3615. 5 indexed citations

13.

Wu, Hongjiang, Eric S. H. Lau, Aimin Yang, et al.. (2023). Age-specific population attributable risk factors for all-cause and cause-specific mortality in type 2 diabetes: An analysis of a 6-year prospective cohort study of over 360,000 people in Hong Kong. PLoS Medicine. 20(1). e1004173–e1004173. 23 indexed citations

14.

Yang, Jing, Kenneth Lo, & Aimin Yang. (2022). Trends in Urinary and Blood Cadmium Levels in U.S. Adults with or without Comorbidities, 1999–2018. Nutrients. 14(4). 802–802. 22 indexed citations

15.

Zhang, Xinge, Hongjiang Wu, Baoqi Fan, et al.. (2022). Lifetime risk of developing diabetes in Chinese people with normoglycemia or prediabetes: A modeling study. PLoS Medicine. 19(7). e1004045–e1004045. 13 indexed citations

16.

Yang, Jing, et al.. (2022). Impact of multicomponent integrated care on mortality and hospitalization after acute coronary syndrome: a systematic review and meta-analysis. European Heart Journal - Quality of Care and Clinical Outcomes. 9(3). 258–267. 2 indexed citations

17.

Yang, Aimin, Mai Shi, Hongjiang Wu, et al.. (2021). Long-term metformin use and risk of pneumonia and related death in type 2 diabetes: a registry-based cohort study. Diabetologia. 64(8). 1760–1765. 18 indexed citations

18.

Wu, Hongjiang, Eric S. H. Lau, Aimin Yang, et al.. (2021). Young age at diabetes diagnosis amplifies the effect of diabetes duration on risk of chronic kidney disease: a prospective cohort study. Diabetologia. 64(9). 1990–2000. 35 indexed citations

19.

Cheng, Feifei, Andrea O. Y. Luk, Baoqi Fan, et al.. (2020). Shortened Relative Leukocyte Telomere Length Is Associated With Prevalent and Incident Cardiovascular Complications in Type 2 Diabetes: Analysis From the Hong Kong Diabetes Register. Diabetes Care. 43(9). 2257–2265. 41 indexed citations

20.

Shi, Dian, Jiao Ding, Hong Pu, et al.. (2019). Total cholesterol to high-density lipoprotein cholesterol ratio is a significant predictor of nonalcoholic fatty liver: Jinchang cohort study. Lipids in Health and Disease. 18(1). 47–47. 53 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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