Jau‐Song Yu
Impact in
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 1%
- RNA modifications and cancer
Papers in
- Virology 12
- Rabies epidemiology and control 12
- Co-authors
- Yu‐Sun ChangChih‐Ching WuWen‐Hsiung ChanShiaw‐Der YangKai‐Ping ChangYing LiangYa‐Ju HsiehKun‐Yi Chien
- Journals
- Journal of Proteome Research (15 papers)Journal of Cellular Biochemistry (14 papers)Molecular & Cellular Proteomics (10 papers)Biochemical and Biophysical Research Communications (10 papers)Journal of Proteomics (9 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Jau‐Song Yu
224 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 150
- Cancer Research 1.3k
- Molecular Biology 4.3k
- Spectroscopy 909
- Oncology 1.4k
- Otorhinolaryngology 223
Countries citing papers authored by Jau‐Song Yu
This map shows the geographic impact of Jau‐Song Yu'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 Jau‐Song Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jau‐Song Yu more than expected).
Fields of papers citing papers by Jau‐Song Yu
This network shows the impact of papers produced by Jau‐Song Yu. 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 Jau‐Song Yu. The network helps show where Jau‐Song Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jau‐Song Yu, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 30 | |
| 15 | 2018 | 15 | |
| 16 | 2018 | 39 | |
| 17 | 2014 | 23 | |
| 18 | 2008 | 57 | |
| 19 | 2007 | 50 | |
| 20 | 2006 | 197 |
About Jau‐Song Yu
Jau‐Song Yu is a scholar working on Virology, Cancer Research, Oncology, Molecular Biology and Spectroscopy, having authored 232 papers that have together received 7.3k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (30 papers), Peptidase Inhibition and Analysis (21 papers), Protein Kinase Regulation and GTPase Signaling (19 papers), RNA modifications and cancer (18 papers), Metabolomics and Mass Spectrometry Studies (14 papers), Rabies epidemiology and control (12 papers), Mitochondrial Function and Pathology (12 papers) and Venomous Animal Envenomation and Studies (12 papers). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (4.3k citations), Spectroscopy (909 citations), Oncology (1.4k citations) and Otorhinolaryngology (223 citations). Jau‐Song Yu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Yu‐Sun Chang, Chih‐Ching Wu, Wen‐Hsiung Chan, Shiaw‐Der Yang, Kai‐Ping Chang, Ying Liang, Ya‐Ju Hsieh, Kun‐Yi Chien, Chia‐Jung Yu and Yi‐Ting Chen. Their work appears in journals such as Journal of Proteome Research, Journal of Cellular Biochemistry, Molecular & Cellular Proteomics, Biochemical and Biophysical Research Communications and Journal of Proteomics.
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.