X. Charlene Tang
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Epidemiology
- Physiology
- Ophthalmology top 5%
- Co-authors
- Domenic J. RedaBramah N. SinghSteven SinghJoseph R. CaseyJ. Edwin AtwoodRoss D. FletcherH. Daniel LewisSatish Sharma
- Topics
- Ophthalmology and Visual Impairment Studies (6 papers)Atrial Fibrillation Management and Outcomes (5 papers)Ion channel regulation and function (5 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- United StatesChinaCanada
In The Last Decade
X. Charlene Tang
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Cardiology and Cardiovascular Medicine 806
- Molecular Biology 531
- Epidemiology 146
- Physiology 132
- Ophthalmology 109
Countries citing papers authored by X. Charlene Tang
This map shows the geographic impact of X. Charlene Tang'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 X. Charlene Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X. Charlene Tang more than expected).
Fields of papers citing papers by X. Charlene Tang
This network shows the impact of papers produced by X. Charlene Tang. 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 X. Charlene Tang. The network helps show where X. Charlene Tang may publish in the future.
Co-authorship network of co-authors of X. Charlene Tang
This figure shows the co-authorship network connecting the top 25 collaborators of X. Charlene Tang. A scholar is included among the top collaborators of X. Charlene Tang 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 X. Charlene Tang. X. Charlene Tang 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 | 0 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 11 | |
| 8 | 15 | |
| 9 | 23 | |
| 10 | Veterans Affairs Low Vision Intervention Trial II: 4-Month and One-Year Results | 0 |
| 11 | 7 | |
| 12 | 18 | |
| 13 | 20 | |
| 14 | 67 | |
| 15 | 164 | |
| 16 | 484 | |
| 17 | 31 | |
| 18 | 90 | |
| 19 | 42 | |
| 20 | 79 |
About X. Charlene Tang
X. Charlene Tang is a scholar working on Ophthalmology, Catalysis and Process Chemistry and Technology, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ophthalmology and Visual Impairment Studies (6 papers), Atrial Fibrillation Management and Outcomes (5 papers) and Ion channel regulation and function (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (806 citations), Ophthalmology (109 citations) and Molecular Biology (531 citations). X. Charlene Tang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Domenic J. Reda, Bramah N. Singh, Steven Singh, Joseph R. Casey, J. Edwin Atwood, Ross D. Fletcher, H. Daniel Lewis, Satish Sharma, Becky Lopez and Alan K. Jacobson. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.