Shih‐Shin Liang
- Nephrology top 5%
- Dialysis and Renal Disease Management 5
- Catalysis top 10%
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- Effects and risks of endocrine disrupting chemicals 7
- Spectroscopy top 10%
- Mass Spectrometry Techniques and Applications 9
- Analytical Chemistry and Chromatography 6
- Advanced Proteomics Techniques and Applications 6
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- Metabolomics and Mass Spectrometry Studies 7
- Ubiquitin and proteasome pathways 4
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- Cancer-related Molecular Pathways 4
- Co-authors
- Shu‐Hui ChenChien‐Chih ChiuEing‐Mei TsaiTsu‐Nai WangHonest MakambaPo‐Lin KuoYow‐Ling ShiueShang‐Jyh Hwang
- Journals
- Journal of Chromatography A (4 papers)Scientific Reports (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shih‐Shin Liang
70 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Nephrology 115
- Biological Psychiatry 27
- Catalysis 65
- Health, Toxicology and Mutagenesis 117
- Spectroscopy 135
Countries citing papers authored by Shih‐Shin Liang
This map shows the geographic impact of Shih‐Shin Liang'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 Shih‐Shin Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Shin Liang more than expected).
Fields of papers citing papers by Shih‐Shin Liang
This network shows the impact of papers produced by Shih‐Shin Liang. 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 Shih‐Shin Liang. The network helps show where Shih‐Shin Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shih‐Shin Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 15 | |
| 6 | 2021 | 36 | |
| 7 | 2021 | 30 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 18 | |
| 10 | 2019 | 3 | |
| 11 | 2018 | 3 | |
| 12 | 2018 | 4 | |
| 13 | 2017 | 27 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 4 | |
| 16 | 2016 | 6 | |
| 17 | 2015 | 9 | |
| 18 | 2015 | 16 | |
| 19 | 2014 | 13 | |
| 20 | 2013 | 5 |
About Shih‐Shin Liang
Shih‐Shin Liang is a scholar working on Spectroscopy, Nephrology and Aging, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Analytical Chemistry and Chromatography (6 papers), Advanced Proteomics Techniques and Applications (6 papers), Dialysis and Renal Disease Management (5 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Nephrology (115 citations), Biological Psychiatry (27 citations) and Catalysis (65 citations). Shih‐Shin Liang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shu‐Hui Chen, Chien‐Chih Chiu, Eing‐Mei Tsai, Tsu‐Nai Wang, Honest Makamba, Po‐Lin Kuo, Yow‐Ling Shiue, Shang‐Jyh Hwang, I‐Wen Sun and Jui-Cheng Chang. Their work appears in journals such as Journal of Chromatography A, Scientific Reports, International Journal of Molecular Sciences, New Journal of Chemistry and Environmental Toxicology.
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.