Shumin Tang

692 total citations · 1 hit paper
18 papers, 489 citations indexed

About

Shumin Tang is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Epidemiology. According to data from OpenAlex, Shumin Tang has authored 18 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Ophthalmology and 5 papers in Epidemiology. Recurrent topics in Shumin Tang's work include Glaucoma and retinal disorders (7 papers), Ophthalmology and Visual Impairment Studies (4 papers) and Corneal surgery and disorders (4 papers). Shumin Tang is often cited by papers focused on Glaucoma and retinal disorders (7 papers), Ophthalmology and Visual Impairment Studies (4 papers) and Corneal surgery and disorders (4 papers). Shumin Tang collaborates with scholars based in China, Hong Kong and Singapore. Shumin Tang's co-authors include Li Jia Chen, Clement C. Tham, Carol Y. Cheung, Adrian Wong, Jason C. Yam, Zihan Sun, Vincent Mok, Christopher Chen, Victor T.T. Chan and Eleonora M. Lad and has published in prestigious journals such as ACS Nano, Scientific Reports and Ophthalmology.

In The Last Decade

Shumin Tang

15 papers receiving 484 citations

Hit Papers

Spectral-Domain OCT Measurements in Alzheimer’s Disease 2018 2026 2020 2023 2018 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shumin Tang China 10 298 259 91 79 62 18 489
Lars Wagenfeld Germany 14 290 1.0× 404 1.6× 100 1.1× 28 0.4× 47 0.8× 39 584
Zeina Haddad United States 7 369 1.2× 448 1.7× 100 1.1× 17 0.2× 15 0.2× 9 610
Yi Ting Ong Singapore 6 631 2.1× 618 2.4× 74 0.8× 42 0.5× 46 0.7× 6 816
Dilara Pirhan Türkiye 12 211 0.7× 346 1.3× 104 1.1× 17 0.2× 36 0.6× 24 477
Takatoshi Maeno Japan 15 328 1.1× 459 1.8× 52 0.6× 53 0.7× 37 0.6× 48 686
Anna Bryndís Einarsdóttir Iceland 7 281 0.9× 306 1.2× 55 0.6× 8 0.1× 17 0.3× 9 414
C. Pournaras Switzerland 10 180 0.6× 298 1.2× 124 1.4× 24 0.3× 14 0.2× 26 462
Shinichiro ENDO Japan 10 84 0.3× 67 0.3× 113 1.2× 57 0.7× 19 0.3× 32 405
André Ferreira Portugal 10 75 0.3× 102 0.4× 81 0.9× 29 0.4× 29 0.5× 49 348
Hasan Kızıltoprak Türkiye 16 477 1.6× 603 2.3× 87 1.0× 10 0.1× 186 3.0× 57 833

Countries citing papers authored by Shumin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shumin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shumin Tang

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

All Works

18 of 18 papers shown
1.
Lin, Yijun, et al.. (2025). Integration of tear fluid biomarkers and machine learning for the early detection of keratoconus. BMC Ophthalmology. 25(1). 612–612.
2.
Lin, Yijun, et al.. (2025). Dry eye-related tear biomarkers MMP-2, MMP-13, and IFN-γ: potential predictors of Type III acute acquired concomitant esotropia. European journal of medical research. 30(1). 663–663.
3.
Sun, Ying, et al.. (2025). Functional nanozyme system for synergistic tumor immunotherapy via cuproptosis and ferroptosis activation. Journal of Nanobiotechnology. 23(1). 212–212. 9 indexed citations
5.
Chen, Xuling, et al.. (2023). A Deep Learning Model for Detecting Rhegmatogenous Retinal Detachment Using Ophthalmologic Ultrasound Images. Ophthalmologica. 247(1). 8–18. 4 indexed citations
6.
Tang, Shumin, et al.. (2023). Investigation of Accuracy and Influence Factors of Predicting Lenticule Thickness in Small Incision Lenticule Extraction by Machine Learning Models. Journal of Personalized Medicine. 13(2). 256–256. 3 indexed citations
7.
Zhang, Xiu Juan, Yumeng Wang, Hei-Nga Chan, et al.. (2023). Prevalence and Characteristics of Peripapillary Gamma Zone in Children With Different Refractive Status: The Hong Kong Children Eye Study. Investigative Ophthalmology & Visual Science. 64(4). 4–4. 3 indexed citations
8.
Zhang, Xiu Juan, Nan Yuan, Shumin Tang, et al.. (2021). Comparison of choroidal thickness measurements between spectral domain optical coherence tomography and swept source optical coherence tomography in children. Scientific Reports. 11(1). 13749–13749. 10 indexed citations
9.
Tang, Shumin, Xiu Juan Zhang, Marco Yu, et al.. (2021). Association of Corneal Biomechanics Properties with Myopia in a Child and a Parent Cohort: Hong Kong Children Eye Study. Diagnostics. 11(12). 2357–2357. 7 indexed citations
10.
Li, Jian, Nan Yuan, Wai Kit Chu, et al.. (2020). Exposure to Secondhand Smoke in Children is Associated with a Thinner Retinal Nerve Fiber Layer: The Hong Kong Children Eye Study. American Journal of Ophthalmology. 223. 91–99. 15 indexed citations
11.
Xiang, Ping, et al.. (2020). Inhibition of miR‑96 enhances the sensitivity of colorectal cancer cells to oxaliplatin by targeting TPM1. Experimental and Therapeutic Medicine. 20(3). 2134–2140. 21 indexed citations
12.
Zhang, Yonggang, et al.. (2019). <p>Tanshinone IIA Reverses Oxaliplatin Resistance In Human Colorectal Cancer Via Inhibition Of ERK/Akt Signaling Pathway</p>. OncoTargets and Therapy. Volume 12. 9725–9734. 19 indexed citations
13.
Yuan, Nan, Jian Li, Shumin Tang, et al.. (2019). Association of Secondhand Smoking Exposure With Choroidal Thinning in Children Aged 6 to 8 Years. JAMA Ophthalmology. 137(12). 1406–1406. 35 indexed citations
14.
Zhang, Yonggang, et al.. (2018). Therapeutic effect of protease-activated receptor 2 agonist SLIGRL-NH<sub>2</sub> on loperamide-induced Sprague-Dawley rat constipation model and the related mechanism. Drug Design Development and Therapy. Volume 12. 2403–2411. 21 indexed citations
15.
Tang, Shumin, Sunny Chi Lik Au, Wilson W. K. Yip, et al.. (2018). Association of antenatal steroid and risk of retinopathy of prematurity: a systematic review and meta-analysis. British Journal of Ophthalmology. 102(10). 1336–1341. 21 indexed citations
16.
Chan, Victor T.T., Zihan Sun, Shumin Tang, et al.. (2018). Spectral-Domain OCT Measurements in Alzheimer’s Disease. Ophthalmology. 126(4). 497–510. 255 indexed citations breakdown →
17.
Tang, Shumin, Sunny Chi Lik Au, Shi Song Rong, et al.. (2016). Association of Gestational Hypertensive Disorders with Retinopathy of prematurity: A Systematic Review and Meta-analysis. Scientific Reports. 6(1). 30732–30732. 19 indexed citations
18.
Au, Sunny Chi Lik, Shumin Tang, Shi Song Rong, Lijia Chen, & Jason C. Yam. (2015). Association between hyperglycemia and retinopathy of prematurity: a systemic review and meta-analysis. Scientific Reports. 5(1). 9091–9091. 47 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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