Yi‐Gang Li
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Cancer Research top 5%
- Surgery top 10%
- Immunology
- Co-authors
- Stefan H. HohnloserGerian GrönefeldCarsten W. IsraelJoachim R. EhrlichYuepeng WangChangyi LiChengxing ShenXiang Yin
- Topics
- Cardiac electrophysiology and arrhythmias (37 papers)Cardiac Arrhythmias and Treatments (34 papers)Atrial Fibrillation Management and Outcomes (31 papers)
- Journals
- CirculationNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yi‐Gang Li
130 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 149
- Cardiology and Cardiovascular Medicine 1.3k
- Molecular Biology 978
- Cancer Research 449
- Surgery 301
- Immunology 150
Countries citing papers authored by Yi‐Gang Li
This map shows the geographic impact of Yi‐Gang Li'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‐Gang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Gang Li more than expected).
Fields of papers citing papers by Yi‐Gang Li
This network shows the impact of papers produced by Yi‐Gang Li. 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‐Gang Li. The network helps show where Yi‐Gang Li may publish in the future.
Co-authorship network of co-authors of Yi‐Gang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yi‐Gang Li. A scholar is included among the top collaborators of Yi‐Gang Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yi‐Gang Li. Yi‐Gang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 54 | |
| 13 | 54 | |
| 14 | 21 | |
| 15 | Relationship of osteopontin and renal function with the severity of coronary artery lesions | 12 |
| 16 | 15 | |
| 17 | 70 | |
| 18 | Optical frequency comb based on mode-locked fiber laser | 1 |
| 19 | 25 | |
| 20 | 333 |
About Yi‐Gang Li
Yi‐Gang Li is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Molecular Biology, having authored 141 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (37 papers), Cardiac Arrhythmias and Treatments (34 papers) and Atrial Fibrillation Management and Outcomes (31 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Cancer Research (449 citations) and Molecular Biology (978 citations). Yi‐Gang Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Stefan H. Hohnloser, Gerian Grönefeld, Carsten W. Israel, Joachim R. Ehrlich, Yuepeng Wang, Changyi Li, Chengxing Shen, Xiang Yin, Jianwen Hou and Qunshan Wang. Their work appears in journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.
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.