Yi Ting Tsai
- Molecular Biology
- Reproductive Medicine top 5%
- Genetics
- Immunology
- Public Health, Environmental and Occupational Health
- Co-authors
- Lee B. SmithAna MonteiroDiane RebourcetPeter J. O’ShaughnessySerge NefAnnalucia DarbeyUgo SoffientiniIan Handel
- Topics
- Tuberculosis Research and Epidemiology (2 papers)Sperm and Testicular Function (2 papers)Mycobacterium research and diagnosis (2 papers)
- Partner nations
- United StatesArgentinaUnited Kingdom
In The Last Decade
Yi Ting Tsai
12 papers receiving 413 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 196
- Reproductive Medicine 161
- Genetics 113
- Immunology 73
- Public Health, Environmental and Occupational Health 61
Countries citing papers authored by Yi Ting Tsai
This map shows the geographic impact of Yi Ting Tsai'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 Ting Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Ting Tsai more than expected).
Fields of papers citing papers by Yi Ting Tsai
This network shows the impact of papers produced by Yi Ting Tsai. 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 Ting Tsai. The network helps show where Yi Ting Tsai may publish in the future.
Co-authorship network of co-authors of Yi Ting Tsai
This figure shows the co-authorship network connecting the top 25 collaborators of Yi Ting Tsai. A scholar is included among the top collaborators of Yi Ting Tsai 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 Ting Tsai. Yi Ting Tsai 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 | Eotaxin-2 induces monocytic apoptosis in patients who have undergone coronary artery bypass surgery and in THP-1 cells in vitro regulated by thrombomodulin. | 4 |
| 3 | 20 | |
| 4 | 9 | |
| 5 | 115 | |
| 6 | 12 | |
| 7 | 49 | |
| 8 | 79 | |
| 9 | 111 | |
| 10 | Silencing of tuberin enhances photoreceptor survival and function in a preclinical model of retinitis pigmentosa (an american ophthalmological society thesis). | 12 |
| 11 | 2 | |
| 12 | Evaluating gene/protein name tagging and mapping for article retrieval | 1 |
About Yi Ting Tsai
Yi Ting Tsai is a scholar working on Reproductive Medicine, Nephrology and Ophthalmology, having authored 12 papers that have together received 415 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (2 papers), Sperm and Testicular Function (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Reproductive Medicine (161 citations), Genetics (113 citations) and Immunology (73 citations). Yi Ting Tsai has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Lee B. Smith, Ana Monteiro, Diane Rebourcet, Peter J. O’Shaughnessy, Serge Nef, Annalucia Darbey, Ugo Soffientini, Ian Handel, David Hume and Rod T. Mitchell. Their work appears in journals such as Development, Endocrinology and Molecular Microbiology.
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.