San‐Nan Yang
Impact in
- Developmental Neuroscience top 5%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 16
-
- Receptor Mechanisms and Signaling 6
- Co-authors
- Ming‐Chi Lai (9 shared papers)Chih‐Hsing Hung (18 shared papers)Zhi‐Hong Wen (26 shared papers)Wu-Fu Chen (16 shared papers)Chang‐Hung Kuo (13 shared papers)Hsiu‐Lin Chen (9 shared papers)Li‐Tung Huang (11 shared papers)Hsing‐I Tseng (6 shared papers)
- Journals
- Marine Drugs (5 papers)Journal of Investigative Medicine (4 papers)Scientific Reports (3 papers)Diabetes (2 papers)Hippocampus (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
San‐Nan Yang
115 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 130
- Developmental Neuroscience 166
- Neurology 286
- Cellular and Molecular Neuroscience 561
- Behavioral Neuroscience 106
- Pediatrics, Perinatology and Child Health 473
Countries citing papers authored by San‐Nan Yang
This map shows the geographic impact of San‐Nan 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 San‐Nan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites San‐Nan Yang more than expected).
Fields of papers citing papers by San‐Nan Yang
This network shows the impact of papers produced by San‐Nan 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 San‐Nan Yang. The network helps show where San‐Nan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside San‐Nan Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 160 | |
| 2 | 2000 | 144 | |
| 3 | 2009 | 89 | |
| 4 | 2013 | 83 | |
| 5 | 2012 | 81 | |
| 6 | 2014 | 76 | |
| 7 | 2000 | 74 | |
| 8 | 2016 | 72 | |
| 9 | 2013 | 66 | |
| 10 | 2005 | 62 | |
| 11 | 2010 | 60 | |
| 12 | 2013 | 59 | |
| 13 | 2001 | 59 | |
| 14 | 2018 | 55 | |
| 15 | 2009 | 54 | |
| 16 | 2010 | 53 | |
| 17 | 2019 | 52 | |
| 18 | 2016 | 50 | |
| 19 | 2014 | 49 | |
| 20 | 2015 | 45 |
About San‐Nan Yang
San‐Nan Yang is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Physiology, having authored 123 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Neonatal Respiratory Health Research (14 papers), Marine Sponges and Natural Products (12 papers), Neonatal and fetal brain pathology (10 papers), Anesthesia and Neurotoxicity Research (7 papers), Neonatal Health and Biochemistry (7 papers), Asthma and respiratory diseases (6 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Developmental Neuroscience (166 citations), Neurology (286 citations), Cellular and Molecular Neuroscience (561 citations), Behavioral Neuroscience (106 citations) and Pediatrics, Perinatology and Child Health (473 citations). San‐Nan Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ming‐Chi Lai, Chih‐Hsing Hung, Zhi‐Hong Wen, Wu-Fu Chen, Chang‐Hung Kuo, Hsiu‐Lin Chen, Li‐Tung Huang, Hsing‐I Tseng, Chien‐Wei Feng and Nan‐Fu Chen. Their work appears in journals such as Marine Drugs, Journal of Investigative Medicine, Scientific Reports, Diabetes and Hippocampus.
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.