Shun‐Fa Yang

22.0k total citations · 1 hit paper
819 papers, 17.6k citations indexed

About

Shun‐Fa Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shun‐Fa Yang has authored 819 papers receiving a total of 17.6k indexed citations (citations by other indexed papers that have themselves been cited), including 362 papers in Molecular Biology, 203 papers in Cancer Research and 142 papers in Oncology. Recurrent topics in Shun‐Fa Yang's work include Protease and Inhibitor Mechanisms (104 papers), Peptidase Inhibition and Analysis (53 papers) and Cancer-related molecular mechanisms research (51 papers). Shun‐Fa Yang is often cited by papers focused on Protease and Inhibitor Mechanisms (104 papers), Peptidase Inhibition and Analysis (53 papers) and Cancer-related molecular mechanisms research (51 papers). Shun‐Fa Yang collaborates with scholars based in Taiwan, United States and China. Shun‐Fa Yang's co-authors include Chiao‐Wen Lin, Yi‐Hsien Hsieh, Yih‐Shou Hsieh, Hui‐Ling Chiou, Ming‐Ju Hsieh, Yu‐Chao Chang, Shu‐Chen Chu, Ming‐Hsien Chien, Mu‐Kuan Chen and Pei‐Ni Chen and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Shun‐Fa Yang

784 papers receiving 17.3k citations

Hit Papers

Melatonin, a Full Service... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Shun‐Fa Yang 8.4k 4.1k 2.6k 1.7k 1.6k 819 17.6k
Chih‐Hsin Tang 7.8k 0.9× 3.3k 0.8× 3.5k 1.3× 1.6k 0.9× 2.4k 1.5× 464 15.8k
Chih‐Yang Huang 7.4k 0.9× 2.0k 0.5× 1.7k 0.6× 1.6k 0.9× 1.1k 0.7× 720 16.4k
Sean P. Colgan 10.7k 1.3× 5.1k 1.2× 2.3k 0.9× 2.5k 1.5× 7.8k 4.8× 291 28.5k
David M. Stern 10.6k 1.3× 2.0k 0.5× 1.2k 0.4× 2.8k 1.7× 4.9k 3.0× 201 32.3k
Ning Ma 5.6k 0.7× 2.5k 0.6× 2.0k 0.8× 1.5k 0.9× 1.4k 0.9× 484 15.7k
Guo‐Ping Shi 6.6k 0.8× 5.0k 1.2× 2.2k 0.8× 1.9k 1.1× 5.4k 3.3× 266 18.1k
José Manuel Fernández‐Real 9.0k 1.1× 2.6k 0.6× 1.7k 0.6× 7.3k 4.4× 2.1k 1.3× 501 26.6k
Hamed Mirzaei 10.3k 1.2× 6.4k 1.6× 1.7k 0.7× 1.2k 0.7× 1.9k 1.1× 359 17.9k
Athanasios G. Papavassiliou 8.0k 1.0× 2.7k 0.7× 3.2k 1.2× 1.8k 1.1× 1.6k 1.0× 488 17.5k
Ann Marie Schmidt 13.3k 1.6× 1.9k 0.5× 1.1k 0.4× 4.2k 2.5× 7.4k 4.5× 395 49.7k

Countries citing papers authored by Shun‐Fa Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shun‐Fa Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shun‐Fa Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Shun‐Fa Yang. A scholar is included among the top collaborators of Shun‐Fa 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 Shun‐Fa Yang. Shun‐Fa Yang 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.
2.
Tsai, Pei‐Yun, et al.. (2025). Risk of acute kidney injury and mortality in patients vaccinated against COVID-19. International Journal of Medical Sciences. 22(16). 4483–4492.
4.
Hsieh, Yi‐Hsien, et al.. (2024). Functional variants of the pentraxin 3 gene are associated with the metastasis and progression of prostate cancer. Journal of Cellular and Molecular Medicine. 28(16). e70041–e70041. 3 indexed citations
5.
Lee, Chia‐Yi, et al.. (2024). Predisposing factors for poor outcomes after intense pulsed light treatment for dry eye disease: A retrospective case-control study. International Journal of Medical Sciences. 21(15). 2919–2925.
6.
Lin, Chiao‐Wen, et al.. (2024). L48H37, a curcumin analog, suppresses matrix metalloproteinase-9 expression and activity to hamper nasopharyngeal cancer cell migration. Oral Oncology. 159. 107038–107038. 2 indexed citations
7.
Yang, Shun‐Fa, et al.. (2024). Association between gabapentin use and risk of dementia in adults with chronic pain: A nested case-control study. Journal of Affective Disorders. 358. 205–210. 1 indexed citations
8.
Lee, Chia‐Yi, Shun‐Fa Yang, Yu‐Ling Chang, Jing‐Yang Huang, & Chao‐Kai Chang. (2024). The Association between Ovarian Cancer and the Incidence of Newly Developed Dry Eye Disease: A Nationwide Population-Based Study. Life. 14(4). 530–530.
9.
Huang, Yu‐Nan, Wen‐Ling Liao, Jing‐Yang Huang, et al.. (2024). Long‐term safety and efficacy of glucagon‐like peptide‐1 receptor agonists in individuals with obesity and without type 2 diabetes: A global retrospective cohort study. Diabetes Obesity and Metabolism. 26(11). 5222–5232. 13 indexed citations
10.
Yang, Po‐Jen, et al.. (2023). Utilization of sodium-glucose cotransporter 2 inhibitors on dry eye disease severity in patients with type 2 diabetes mellitus. International Journal of Medical Sciences. 20(13). 1705–1710. 2 indexed citations
12.
Lu, Ko‐Hsiu, et al.. (2023). Curcumin and its Analogs and Carriers: Potential Therapeutic Strategies for Human Osteosarcoma. International Journal of Biological Sciences. 19(4). 1241–1265. 39 indexed citations
13.
Lin, Chia‐Liang, et al.. (2023). Magnolin targeting of the JNK/Sp1/MMP15 signaling axis suppresses cervical cancer microenvironment and metastasis via microbiota modulation. Cancer Letters. 583. 216584–216584. 10 indexed citations
14.
Lu, Ko‐Hsiu, et al.. (2023). Different molecular weights of hyaluronan research in knee osteoarthritis: A state-of-the-art review. Matrix Biology. 117. 46–71. 25 indexed citations
15.
Wang, Kai, Ming‐Ju Hsieh, Chia‐Yi Lee, et al.. (2021). Medical Compliance of Fibrate and the Decreased Risk of Age-Related Macular Degeneration in Dyslipidemia-Related Diseases: A Population-Based Cohort Study. International Journal of Environmental Research and Public Health. 18(1). 301–301. 3 indexed citations
16.
Yang, Yi‐Chieh, Wei‐Jiunn Lee, Jer‐Hwa Chang, et al.. (2020). Circulating Proteoglycan Endocan Mediates EGFR-Driven Progression of Non–Small Cell Lung Cancer. Cancer Research. 80(16). 3292–3304. 21 indexed citations
17.
Su, Chun‐Wen, et al.. (2016). Plasma levels of the tissue inhibitor matrix metalloproteinase-3 as a potential biomarker in oral cancer progression. International Journal of Medical Sciences. 14(1). 37–44. 26 indexed citations
18.
Su, Shih-Chi, Xiaoxiao Hu, Patrick A. Kenney, et al.. (2013). Autotaxin–Lysophosphatidic Acid Signaling Axis Mediates Tumorigenesis and Development of Acquired Resistance to Sunitinib in Renal Cell Carcinoma. Clinical Cancer Research. 19(23). 6461–6472. 42 indexed citations
19.
Lu, Ko‐Hsiu, et al.. (2011). The CC16 A38G polymorphism is associated with the development of asthma in children with allergic rhinitis. Clinical & Experimental Allergy. 41(6). 794–800. 17 indexed citations
20.
Chang, Yu‐Chao, Shu‐Chen Chu, Shun‐Fa Yang, et al.. (2004). Examination of the signal transduction pathways leading to activation of gelatinolytic activity by interleukin‐1α and Porphyromonas gingivalis in human osteosarcoma cells. Journal of Periodontal Research. 39(3). 168–174. 16 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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