Feifei Su
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Cardiac Fibrosis and Remodeling
- Cardiac electrophysiology and arrhythmias
- Renin-Angiotensin System Studies
- Cardiomyopathy and Myosin Studies
Papers in
-
- Cardiac Fibrosis and Remodeling 6
- Cardiac electrophysiology and arrhythmias 5
- Atrial Fibrillation Management and Outcomes 3
-
- COVID-19 Clinical Research Studies 5
- Co-authors
- Qifa Song (2 shared papers)Jianping Huang (2 shared papers)Jianyi Dai (2 shared papers)Xiaoming Zhang (1 shared paper)Chen Dong (1 shared paper)Xiaokun Li (1 shared paper)Hongtao Wang (3 shared papers)Boyuan Fan (4 shared papers)
- Journals
- Scientific Reports (3 papers)Frontiers in Microbiology (3 papers)PLoS ONE (2 papers)Current HIV Research (1 paper)International Journal of Medical Sciences (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Feifei Su
37 papers receiving 920 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 359
- Cardiology and Cardiovascular Medicine 206
- Pathology and Forensic Medicine 84
- Modeling and Simulation 25
- Cancer Research 63
Countries citing papers authored by Feifei Su
This map shows the geographic impact of Feifei 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 Feifei Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feifei Su more than expected).
Fields of papers citing papers by Feifei Su
This network shows the impact of papers produced by Feifei 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 Feifei Su. The network helps show where Feifei Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Feifei 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 306 | |
| 2 | 2020 | 69 | |
| 3 | 2018 | 66 | |
| 4 | 2016 | 58 | |
| 5 | 2014 | 47 | |
| 6 | 2015 | 40 | |
| 7 | 2016 | 40 | |
| 8 | 2012 | 29 | |
| 9 | 2018 | 29 | |
| 10 | 2019 | 25 | |
| 11 | 2022 | 25 | |
| 12 | 2015 | 23 | |
| 13 | 2020 | 22 | |
| 14 | 2018 | 19 | |
| 15 | 2012 | 15 | |
| 16 | 2013 | 15 | |
| 17 | 2020 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2016 | 12 |
About Feifei Su
Feifei Su is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Health Information Management, Rehabilitation and Pathology and Forensic Medicine, having authored 39 papers that have together received 959 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), COVID-19 Clinical Research Studies (5 papers), Signaling Pathways in Disease (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Artificial Intelligence in Healthcare (3 papers), Cardiac Ischemia and Reperfusion (3 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Infectious Diseases (359 citations), Cardiology and Cardiovascular Medicine (206 citations), Pathology and Forensic Medicine (84 citations), Modeling and Simulation (25 citations) and Cancer Research (63 citations). Feifei Su has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Qifa Song, Jianping Huang, Jianyi Dai, Xiaoming Zhang, Chen Dong, Xiaokun Li, Hongtao Wang, Boyuan Fan, Hong Tan and Jian Zhang. Their work appears in journals such as Scientific Reports, Frontiers in Microbiology, PLoS ONE, Current HIV Research and International Journal of Medical Sciences.
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.