Yu-Ting Su
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
-
- Cancer, Hypoxia, and Metabolism
Papers in
-
- DNA Repair Mechanisms 1
- Ubiquitin and proteasome pathways 1
- Oncology 2
- Co-authors
- Hung‐Ying Kao (3 shared papers)Simran Khurana (2 shared papers)Sharmistha Chakraborty (2 shared papers)Matthew G. Ewend (2 shared papers)Jing Wu (2 shared papers)Mark R. Gilbert (2 shared papers)Xiwen Cheng (1 shared paper)Yanxin Lu (1 shared paper)
- Journals
- International Journal of Environmental Research and Public Health (2 papers)Journal of Biological Chemistry (2 papers)Annals of the Rheumatic Diseases (1 paper)Neuro-Oncology (1 paper)BMC Pulmonary Medicine (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yu-Ting Su
12 papers receiving 530 citations
Peers
Comparison fields: 5 of 76
- Genetics 101
- Cancer Research 110
- Immunology 83
- Oncology 102
- Molecular Biology 237
Countries citing papers authored by Yu-Ting Su
This map shows the geographic impact of Yu-Ting Su'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 Yu-Ting Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Ting Su more than expected).
Fields of papers citing papers by Yu-Ting Su
This network shows the impact of papers produced by Yu-Ting Su. 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 Yu-Ting Su. The network helps show where Yu-Ting Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu-Ting Su, 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 | 2017 | 162 | |
| 2 | 2019 | 101 | |
| 3 | 2010 | 76 | |
| 4 | 2017 | 66 | |
| 5 | 2013 | 42 | |
| 6 | 2012 | 34 | |
| 7 | 2013 | 27 | |
| 8 | 2021 | 10 | |
| 9 | 2018 | 6 | |
| 10 | 2020 | 5 | |
| 11 | 2017 | 4 | |
| 12 | 2014 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Yu-Ting Su
Yu-Ting Su is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Reproductive Medicine and Nephrology, having authored 15 papers that have together received 534 indexed citations. Recurring topics across this work include Ovarian function and disorders (2 papers), DNA Repair Mechanisms (1 paper), Ubiquitin and proteasome pathways (1 paper), Ferroelectric and Negative Capacitance Devices (1 paper), Obstructive Sleep Apnea Research (1 paper), Transition Metal Oxide Nanomaterials (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Advanced Memory and Neural Computing (1 paper). The work is most often cited by research in Genetics (101 citations), Cancer Research (110 citations), Immunology (83 citations), Oncology (102 citations) and Molecular Biology (237 citations). Yu-Ting Su has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Hung‐Ying Kao, Simran Khurana, Sharmistha Chakraborty, Matthew G. Ewend, Jing Wu, Mark R. Gilbert, Xiwen Cheng, Yanxin Lu, Jeffrey M. Macdonald and Wendy Bautista. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Biological Chemistry, Annals of the Rheumatic Diseases, Neuro-Oncology and BMC Pulmonary Medicine.
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.