Shun‐Fa Yang

852 papers receiving 21.2k citations

Shun‐Fa Yang's Hit Papers

Kidney multiome-based genetic scorecard reveals convergent coding and regulatory variants 2025 · 24 citations
240+1+3Years since publication5001k1.5k2k

Peers

Shun‐Fa Yang
Comparison fields: 5 of 163
  • Cancer Research 3.1k
  • Endocrine and Autonomic Systems 1.1k
  • Otorhinolaryngology 1.1k
  • Periodontics 1.2k
  • Drug Discovery 28
Replace Florian R. Greten with:
Florian R. Greten Germany
Canhua Huang China
Fuu‐Jen Tsai Taiwan
Sergei I. Grivennikov United States
Massimo Libra Italy
Antonio Sica Italy
Rui Kang United States
Michele Caraglia Italy
Jian Zhang China
David A. Brenner United States
Shun‐Fa Yang relative to Florian R. Greten Germany Florian R. Greten's profile →
Citations per field
00.5×2×4×6×8.9×
Florian R. Greten · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Shun‐Fa Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shun‐Fa Yang Line = papers co-authored together Shun‐Fa Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 895 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1
Hit paper breakdown →
20212067
2 2017378
3 2016261
4 2005241
5 2017185
6 2005166
7 2010166
8 2004163
9 2007143
10 2007142
11 2016136
12 2004129
13 2018129
14 2015127
15 2011120
16 2013119
17 2017117
18 2020115
19 2002109
20 2007108

About Shun‐Fa Yang

Shun‐Fa Yang is a scholar working on Cancer Research, Otorhinolaryngology, Periodontics, Ophthalmology and Endocrine and Autonomic Systems, having authored 895 papers that have together received 21.7k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (110 papers), Head and Neck Cancer Studies (85 papers), Genetic Associations and Epidemiology (73 papers), Oral Health Pathology and Treatment (40 papers), Mechanisms of cancer metastasis (39 papers), Hepatocellular Carcinoma Treatment and Prognosis (35 papers), Flavonoids in Medical Research (34 papers) and Cervical Cancer and HPV Research (31 papers). The work is most often cited by research in Cancer Research (3.1k citations), Endocrine and Autonomic Systems (1.1k citations), Otorhinolaryngology (1.1k citations), Periodontics (1.2k citations) and Drug Discovery (28 citations). Shun‐Fa Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chiao‐Wen Lin, Yih‐Shou Hsieh, Yi‐Hsien Hsieh, Ming‐Hsien Chien, Hui‐Ling Chiou, Ming‐Ju Hsieh, Shu‐Chen Chu, Yu‐Chao Chang, Mu‐Kuan Chen and Wei‐En Yang. Their work appears in journals such as International Journal of Medical Sciences, International Journal of Environmental Research and Public Health, PLoS ONE, Environmental Toxicology and International Journal of Molecular Sciences.

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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