Ming Mai
Impact in
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Genetics 9
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Chronic Lymphocytic Leukemia Research 3
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- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 3
- Co-authors
- Rebecca F. McClure (7 shared papers)Terra L. Lasho (4 shared papers)Wanguo Liu (8 shared papers)Akira Yokomizo (7 shared papers)Chiping Qian (5 shared papers)Animesh Dev Pardanani (4 shared papers)Ayalew Tefferi (4 shared papers)Christy M. Finke (3 shared papers)
- Journals
- Leukemia (4 papers)Oncogene (2 papers)Genomics (2 papers)Journal of Molecular Diagnostics (2 papers)The Prostate (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Ming Mai
26 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 51
- Genetics 583
- Hematology 491
- Biotechnology 199
- Oncology 480
- Cancer Research 213
Countries citing papers authored by Ming Mai
This map shows the geographic impact of Ming Mai'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 Ming Mai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Mai more than expected).
Fields of papers citing papers by Ming Mai
This network shows the impact of papers produced by Ming Mai. 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 Ming Mai. The network helps show where Ming Mai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Mai, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 280 | |
| 2 | Activation of p73 silent allele in lung cancer. | 1998 | 169 |
| 3 | 2010 | 156 | |
| 4 | 1999 | 125 | |
| 5 | 2018 | 103 | |
| 6 | 2005 | 98 | |
| 7 | 1998 | 69 | |
| 8 | 2018 | 68 | |
| 9 | 1998 | 65 | |
| 10 | 1999 | 62 | |
| 11 | 2010 | 46 | |
| 12 | 2020 | 41 | |
| 13 | 1999 | 36 | |
| 14 | 2001 | 32 | |
| 15 | 2019 | 25 | |
| 16 | 2004 | 24 | |
| 17 | 2005 | 23 | |
| 18 | 1999 | 18 | |
| 19 | 2016 | 17 | |
| 20 | 2021 | 16 |
About Ming Mai
Ming Mai is a scholar working on Genetics, Hematology, Pathology and Forensic Medicine, Cancer Research and Oncology, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Acute Myeloid Leukemia Research (4 papers), Cancer-related Molecular Pathways (4 papers), Lymphoma Diagnosis and Treatment (4 papers), RNA modifications and cancer (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Kruppel-like factors research (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Genetics (583 citations), Hematology (491 citations), Biotechnology (199 citations), Oncology (480 citations) and Cancer Research (213 citations). Ming Mai has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Rebecca F. McClure, Terra L. Lasho, Wanguo Liu, Akira Yokomizo, Chiping Qian, Animesh Dev Pardanani, Ayalew Tefferi, Christy M. Finke, David G. Bostwick and Donald J. Tindall. Their work appears in journals such as Leukemia, Oncogene, Genomics, Journal of Molecular Diagnostics and The Prostate.
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.