Yi‐Mi Wu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- Prostate Cancer Treatment and Research 6
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- Cancer Genomics and Diagnostics 8
- Co-authors
- Dan R. Robinson (37 shared papers)Su‐Fang Lin (1 shared paper)Arul M. Chinnaiyan (29 shared papers)Xuhong Cao (10 shared papers)Marcin Cieślik (8 shared papers)Lanbo Xiao (5 shared papers)Yuping Zhang (3 shared papers)Josh N. Vo (4 shared papers)
- Journals
- JCO Precision Oncology (6 papers)Journal of Clinical Oncology (6 papers)Blood (4 papers)Cancer Research (4 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Yi‐Mi Wu
44 papers receiving 2.5k citations
Yi‐Mi Wu's Hit Papers
Peers
Comparison fields: 5 of 105
- Cancer Research 931
- Molecular Biology 1.9k
- Oncology 350
- Hematology 105
- Immunology 196
Countries citing papers authored by Yi‐Mi Wu
This map shows the geographic impact of Yi‐Mi Wu'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‐Mi Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi‐Mi Wu more than expected).
Fields of papers citing papers by Yi‐Mi Wu
This network shows the impact of papers produced by Yi‐Mi Wu. 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‐Mi Wu. The network helps show where Yi‐Mi Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi‐Mi Wu, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Landscape of Circular RNA in Cancer Hit paper breakdown → | 2019 | 1217 |
| 2 | The protein tyrosine kinase family of the human genome Hit paper breakdown → | 2000 | 893 |
| 3 | 2019 | 170 | |
| 4 | 1997 | 76 | |
| 5 | 1996 | 33 | |
| 6 | 2019 | 26 | |
| 7 | 2001 | 21 | |
| 8 | 2018 | 12 | |
| 9 | 1996 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2017 | 8 | |
| 12 | 1998 | 8 | |
| 13 | 2017 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2019 | 6 | |
| 17 | 2019 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2020 | 4 |
About Yi‐Mi Wu
Yi‐Mi Wu is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Molecular Biology, Hematology and Genetics, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Prostate Cancer Treatment and Research (6 papers), Chronic Myeloid Leukemia Treatments (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Cancer Research (931 citations), Molecular Biology (1.9k citations), Oncology (350 citations), Hematology (105 citations) and Immunology (196 citations). Yi‐Mi Wu has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Dan R. Robinson, Su‐Fang Lin, Arul M. Chinnaiyan, Xuhong Cao, Marcin Cieślik, Lanbo Xiao, Yuping Zhang, Josh N. Vo, Sudhanshu Shukla and Alexey I. Nesvizhskii. Their work appears in journals such as JCO Precision Oncology, Journal of Clinical Oncology, Blood, Cancer Research and Clinical Cancer Research.
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.