Yi-Ting Wang
Impact in
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- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- MicroRNA in disease regulation
Papers in
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- Extracellular vesicles in disease 3
- Advanced biosensing and bioanalysis techniques 2
- Epigenetics and DNA Methylation 1
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- MicroRNA in disease regulation 2
- Co-authors
- Tao Liu (7 shared papers)Tujin Shi (5 shared papers)Karin Rodland (5 shared papers)Sudhir Srivastava (1 shared paper)Jacob Kagan (1 shared paper)Chia‐Feng Tsai (4 shared papers)Reta Birhanu Kitata (3 shared papers)Shao‐Hsing Weng (1 shared paper)
- Journals
- Cancers (2 papers)European Journal of Radiology (1 paper)Cancer Epidemiology Biomarkers & Prevention (1 paper)TrAC Trends in Analytical Chemistry (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Yi-Ting Wang
13 papers receiving 197 citations
Peers
Comparison fields: 5 of 55
- Spectroscopy 54
- Cancer Research 38
- Molecular Biology 125
- Biophysics 5
- Health Informatics 1
Countries citing papers authored by Yi-Ting Wang
This map shows the geographic impact of Yi-Ting Wang'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 Yi-Ting Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi-Ting Wang more than expected).
Fields of papers citing papers by Yi-Ting Wang
This network shows the impact of papers produced by Yi-Ting Wang. 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 Yi-Ting Wang. The network helps show where Yi-Ting Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi-Ting Wang, 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 | 2020 | 61 | |
| 2 | 2015 | 47 | |
| 3 | 2023 | 31 | |
| 4 | 2020 | 12 | |
| 5 | 2022 | 9 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 7 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2024 | 0 |
About Yi-Ting Wang
Yi-Ting Wang is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Spectroscopy and Otorhinolaryngology, having authored 14 papers that have together received 198 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Biosensors and Analytical Detection (2 papers), MicroRNA in disease regulation (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (1 paper), Head and Neck Cancer Studies (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Spectroscopy (54 citations), Cancer Research (38 citations), Molecular Biology (125 citations), Biophysics (5 citations) and Health Informatics (1 citation). Yi-Ting Wang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Tao Liu, Tujin Shi, Karin Rodland, Sudhir Srivastava, Jacob Kagan, Chia‐Feng Tsai, Reta Birhanu Kitata, Shao‐Hsing Weng, Yu‐Ju Chen and Pan‐Chyr Yang. Their work appears in journals such as Cancers, European Journal of Radiology, Cancer Epidemiology Biomarkers & Prevention, TrAC Trends in Analytical Chemistry and PLoS ONE.
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.