Weili Ma
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 28
- Cancer-related Molecular Pathways 10
- Viral-associated cancers and disorders 5
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- Retinoids in leukemia and cellular processes 4
- Co-authors
- Samuel Benchimol (10 shared papers)Yunping Lin (5 shared papers)Razqallah Hakem (2 shared papers)Daniel Y.L. Mao (1 shared paper)John M. Parant (1 shared paper)Guillermina Lozano (1 shared paper)Hong Wu (1 shared paper)Roger Leng (1 shared paper)
In The Last Decade
Weili Ma
57 papers receiving 1.9k citations
Weili Ma's Hit Papers
Peers
Comparison fields: 5 of 103
- Oncology 986
- Cancer Research 348
- Molecular Biology 1.3k
- Biotechnology 139
- Hematology 109
Countries citing papers authored by Weili Ma
This map shows the geographic impact of Weili Ma'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 Weili Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weili Ma more than expected).
Fields of papers citing papers by Weili Ma
This network shows the impact of papers produced by Weili Ma. 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 Weili Ma. The network helps show where Weili Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Weili Ma, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pirh2, a p53-Induced Ubiquitin-Protein Ligase, Promotes p53 Degradation Hit paper breakdown → | 2003 | 584 |
| 2 | 2000 | 274 | |
| 3 | 2005 | 248 | |
| 4 | 2011 | 158 | |
| 5 | 2005 | 84 | |
| 6 | 2001 | 66 | |
| 7 | 2003 | 62 | |
| 8 | 2021 | 59 | |
| 9 | 2016 | 42 | |
| 10 | 1999 | 36 | |
| 11 | 1994 | 35 | |
| 12 | Modulation of gene expression in the acute promyelocytic leukemia cell line NB4. | 1993 | 33 |
| 13 | 1993 | 33 | |
| 14 | 2011 | 28 | |
| 15 | 2019 | 19 | |
| 16 | 1994 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2011 | 12 | |
| 19 | 2013 | 12 | |
| 20 | 2022 | 11 |
About Weili Ma
Weili Ma is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Surgery and Neurology, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Cancer-related Molecular Pathways (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Acute Myeloid Leukemia Research (5 papers), Viral-associated cancers and disorders (5 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), Advanced Breast Cancer Therapies (5 papers) and Retinoids in leukemia and cellular processes (4 papers). The work is most often cited by research in Oncology (986 citations), Cancer Research (348 citations), Molecular Biology (1.3k citations), Biotechnology (139 citations) and Hematology (109 citations). Weili Ma has collaborated with scholars based in Taiwan, China and Canada. Frequent co-authors include Samuel Benchimol, Yunping Lin, Razqallah Hakem, Daniel Y.L. Mao, John M. Parant, Guillermina Lozano, Hong Wu, Roger Leng, Bénédicte Lemmers and Stephen W. Chung. Their work appears in journals such as Blood, Cancer Medicine, Molecules, Synlett and Proceedings of the National Academy of Sciences.
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.