Chi-Ting Su
Impact in
- Nephrology top 5%
- Dialysis and Renal Disease Management
-
- Cardiovascular Function and Risk Factors
Papers in
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- Cardiovascular Function and Risk Factors 8
-
- Chronic Kidney Disease and Diabetes 2
- Co-authors
- Ji Pyng Chiou (2 shared papers)Chao‐Kai Chang (1 shared paper)Chuan‐Fa Chang (1 shared paper)Wei‐Chuan Tsai (7 shared papers)Zsolt Urbán (5 shared papers)Jyh-Hong Chen (4 shared papers)Yen-Wen Liu (4 shared papers)Jenq‐Wen Huang (9 shared papers)
- Journals
- Physical Review A (3 papers)PLoS ONE (3 papers)IEEE Transactions on Power Systems (2 papers)Cardiovascular Diabetology (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Chi-Ting Su
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Nephrology 143
- Cardiology and Cardiovascular Medicine 276
- Control and Systems Engineering 229
- Genetics 186
- Safety, Risk, Reliability and Quality 58
Countries citing papers authored by Chi-Ting Su
This map shows the geographic impact of Chi-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 Chi-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 Chi-Ting Su more than expected).
Fields of papers citing papers by Chi-Ting Su
This network shows the impact of papers produced by Chi-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 Chi-Ting Su. The network helps show where Chi-Ting Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi-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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 238 | |
| 2 | 2016 | 201 | |
| 3 | 2004 | 126 | |
| 4 | 2009 | 91 | |
| 5 | 2013 | 83 | |
| 6 | 2010 | 78 | |
| 7 | 2012 | 67 | |
| 8 | 2007 | 49 | |
| 9 | 2013 | 41 | |
| 10 | 2015 | 31 | |
| 11 | 2013 | 30 | |
| 12 | 2022 | 26 | |
| 13 | 2021 | 24 | |
| 14 | 2021 | 23 | |
| 15 | 2023 | 21 | |
| 16 | 2013 | 19 | |
| 17 | 2012 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2003 | 15 | |
| 20 | 1992 | 14 |
About Chi-Ting Su
Chi-Ting Su is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology, Clinical Biochemistry, Infectious Diseases and Genetics, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Optimal Power Flow Distribution (5 papers), Connective tissue disorders research (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Electric Power System Optimization (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Metaheuristic Optimization Algorithms Research (2 papers). The work is most often cited by research in Nephrology (143 citations), Cardiology and Cardiovascular Medicine (276 citations), Control and Systems Engineering (229 citations), Genetics (186 citations) and Safety, Risk, Reliability and Quality (58 citations). Chi-Ting Su has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Ji Pyng Chiou, Chao‐Kai Chang, Chuan‐Fa Chang, Wei‐Chuan Tsai, Zsolt Urbán, Jyh-Hong Chen, Yen-Wen Liu, Jenq‐Wen Huang, Chien‐Yu Chen and Chen‐Ming Hsu. Their work appears in journals such as Physical Review A, PLoS ONE, IEEE Transactions on Power Systems, Cardiovascular Diabetology and Cell Death and Disease.
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.