Yi‐Mi Wu
Impact in
- Cancer Research top 1%
- 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
-
- Prostate Cancer Treatment and Research 6
- Co-authors
- Dan R. Robinson (36 shared papers)Su‐Fang Lin (1 shared paper)Arul M. Chinnaiyan (28 shared papers)Xuhong Cao (9 shared papers)Marcin Cieślik (7 shared papers)Lanbo Xiao (5 shared papers)Josh N. Vo (4 shared papers)Yajia Zhang (2 shared papers)
- Journals
- JCO Precision Oncology (6 papers)Journal of Clinical Oncology (6 papers)Cancer Research (4 papers)Blood (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Yi‐Mi Wu
43 papers receiving 2.4k citations
Yi‐Mi Wu's Hit Papers
Peers
Comparison fields: 5 of 106
- Cancer Research 1.2k
- Molecular Biology 1.9k
- Oncology 361
- Hematology 112
- Immunology 209
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 44 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 | 1188 |
| 2 | The protein tyrosine kinase family of the human genome Hit paper breakdown → | 2000 | 830 |
| 3 | 2019 | 160 | |
| 4 | 1997 | 72 | |
| 5 | 1996 | 31 | |
| 6 | 2019 | 25 | |
| 7 | 2001 | 21 | |
| 8 | 2018 | 12 | |
| 9 | 2021 | 10 | |
| 10 | 1996 | 10 | |
| 11 | 2017 | 8 | |
| 12 | 2020 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 1998 | 6 | |
| 18 | 2024 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2018 | 4 |
About Yi‐Mi Wu
Yi‐Mi Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Hematology and Oncology, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (10 papers), Prostate Cancer Treatment and Research (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Eosinophilic Disorders and Syndromes (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (1.9k citations), Oncology (361 citations), Hematology (112 citations) and Immunology (209 citations). Yi‐Mi Wu has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Dan R. Robinson, Su‐Fang Lin, Arul M. Chinnaiyan, Xuhong Cao, Marcin Cieślik, Lanbo Xiao, Josh N. Vo, Yajia Zhang, Sudhanshu Shukla and Carl G. Engelke. Their work appears in journals such as JCO Precision Oncology, Journal of Clinical Oncology, Cancer Research, Blood 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.