Eric C. Tai
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
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- Extracellular vesicles in disease
- Circular RNAs in diseases
Papers in
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- Cancer Genomics and Diagnostics 3
- MicroRNA in disease regulation 3
- Oncology 5
- Cancer Cells and Metastasis 3
- Cancer-related Molecular Pathways 2
- Pancreatic and Hepatic Oncology Research 2
- Colorectal Cancer Treatments and Studies 1
- Co-authors
- David T. Ting (9 shared papers)Pike-See Cheah (2 shared papers)Zhiyun Wei (2 shared papers)Anna M. Krichevsky (2 shared papers)Joseph El Khoury (2 shared papers)Erik R. Abels (2 shared papers)Sybren L. N. Maas (2 shared papers)Marike L. D. Broekman (2 shared papers)
- Journals
- Cell Reports (2 papers)Clinical Cancer Research (1 paper)Scientific Reports (1 paper)Journal of Clinical Oncology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesMalaysiaNetherlands
In The Last Decade
Eric C. Tai
10 papers receiving 473 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 246
- Molecular Biology 334
- Oncology 126
- Genetics 49
- Neurology 30
Countries citing papers authored by Eric C. Tai
This map shows the geographic impact of Eric C. Tai'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 Eric C. Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric C. Tai more than expected).
Fields of papers citing papers by Eric C. Tai
This network shows the impact of papers produced by Eric C. Tai. 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 Eric C. Tai. The network helps show where Eric C. Tai may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric C. Tai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 150 | |
| 2 | 2020 | 117 | |
| 3 | 2019 | 91 | |
| 4 | 2017 | 54 | |
| 5 | 2017 | 21 | |
| 6 | 2017 | 17 | |
| 7 | 2021 | 11 | |
| 8 | 2020 | 10 | |
| 9 | 2021 | 4 | |
| 10 | 2020 | 2 |
About Eric C. Tai
Eric C. Tai is a scholar working on Cancer Research, Oncology, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 10 papers that have together received 477 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (3 papers), MicroRNA in disease regulation (3 papers), Cancer Cells and Metastasis (3 papers), Cancer-related Molecular Pathways (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Extracellular vesicles in disease (2 papers), Immune cells in cancer (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Cancer Research (246 citations), Molecular Biology (334 citations), Oncology (126 citations), Genetics (49 citations) and Neurology (30 citations). Eric C. Tai has collaborated with scholars based in United States, Malaysia and Netherlands. Frequent co-authors include David T. Ting, Pike-See Cheah, Zhiyun Wei, Anna M. Krichevsky, Joseph El Khoury, Erik R. Abels, Sybren L. N. Maas, Marike L. D. Broekman, Suzanne E. Hickman and Lisa Nieland. Their work appears in journals such as Cell Reports, Clinical Cancer Research, Scientific Reports, Journal of Clinical Oncology and Nature Communications.
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.