Jar‐Yi Ho
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
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- Circular RNAs in diseases 4
- Epigenetics and DNA Methylation 4
- Melanoma and MAPK Pathways 2
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- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 6
- Cancer, Lipids, and Metabolism 2
- Co-authors
- Cheng‐Ping Yu (20 shared papers)Dah‐Shyong Yü (13 shared papers)Ren‐Jun Hsu (8 shared papers)Chia‐Lun Wu (5 shared papers)Tong‐Hong Wang (4 shared papers)Tai‐Lung Cha (5 shared papers)Jui‐Ming Liu (4 shared papers)Chau‐Ting Yeh (2 shared papers)
In The Last Decade
Jar‐Yi Ho
29 papers receiving 881 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 333
- Molecular Biology 605
- Toxicology 20
- Oncology 150
- Applied Microbiology and Biotechnology 9
Countries citing papers authored by Jar‐Yi Ho
This map shows the geographic impact of Jar‐Yi Ho'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 Jar‐Yi Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jar‐Yi Ho more than expected).
Fields of papers citing papers by Jar‐Yi Ho
This network shows the impact of papers produced by Jar‐Yi Ho. 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 Jar‐Yi Ho. The network helps show where Jar‐Yi Ho may publish in the future.
Co-authors
The 25 scholars most cited alongside Jar‐Yi Ho, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 96 | |
| 2 | 2016 | 67 | |
| 3 | 2016 | 63 | |
| 4 | 2012 | 58 | |
| 5 | 2015 | 55 | |
| 6 | 2015 | 52 | |
| 7 | 2018 | 46 | |
| 8 | 2014 | 42 | |
| 9 | 2020 | 42 | |
| 10 | 2013 | 35 | |
| 11 | 2019 | 33 | |
| 12 | 2007 | 29 | |
| 13 | 2010 | 28 | |
| 14 | 2006 | 28 | |
| 15 | 2013 | 28 | |
| 16 | 2011 | 22 | |
| 17 | 2016 | 22 | |
| 18 | 2018 | 19 | |
| 19 | 2020 | 19 | |
| 20 | 2015 | 18 |
About Jar‐Yi Ho
Jar‐Yi Ho is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Genetics, having authored 32 papers that have together received 892 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers), Estrogen and related hormone effects (4 papers), Epigenetics and DNA Methylation (4 papers), Cancer Mechanisms and Therapy (3 papers), Melanoma and MAPK Pathways (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (333 citations), Molecular Biology (605 citations), Toxicology (20 citations), Oncology (150 citations) and Applied Microbiology and Biotechnology (9 citations). Jar‐Yi Ho has collaborated with scholars based in Taiwan, Hong Kong and Austria. Frequent co-authors include Cheng‐Ping Yu, Dah‐Shyong Yü, Ren‐Jun Hsu, Chia‐Lun Wu, Tong‐Hong Wang, Tai‐Lung Cha, Jui‐Ming Liu, Chau‐Ting Yeh, Sheng‐Chieh Chou and Tse‐Ching Chen. Their work appears in journals such as Cancers, Oncotarget, PLoS ONE, Molecular Carcinogenesis and Cells.
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.