Chen Mei
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 24
- Acute Myeloid Leukemia Research 22
- Hematopoietic Stem Cell Transplantation 3
- Chronic Myeloid Leukemia Treatments 3
- Multiple Myeloma Research and Treatments 2
-
- Histone Deacetylase Inhibitors Research 3
- Co-authors
- Hongyan Tong (27 shared papers)Jie Jin (22 shared papers)Yanling Ren (21 shared papers)Xinping Zhou (21 shared papers)Yingwan Luo (16 shared papers)Chao Hu (7 shared papers)Liya Ma (18 shared papers)Li Ye (19 shared papers)
- Journals
- Blood (3 papers)Hematological Oncology (3 papers)Blood Cells Molecules and Diseases (2 papers)Annals of Hematology (2 papers)Cancer Medicine (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Chen Mei
28 papers receiving 224 citations
Peers
Comparison fields: 5 of 37
- Hematology 142
- Genetics 50
- Cancer Research 29
- Oncology 37
- Molecular Biology 93
Countries citing papers authored by Chen Mei
This map shows the geographic impact of Chen Mei'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 Chen Mei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Mei more than expected).
Fields of papers citing papers by Chen Mei
This network shows the impact of papers produced by Chen Mei. 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 Chen Mei. The network helps show where Chen Mei may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Mei, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 37 | |
| 2 | 2019 | 30 | |
| 3 | 2022 | 19 | |
| 4 | 2017 | 19 | |
| 5 | 2024 | 18 | |
| 6 | 2018 | 18 | |
| 7 | Impact of mutational variant allele frequency on prognosis in myelodysplastic syndromes. | 2020 | 11 |
| 8 | 2018 | 9 | |
| 9 | 2021 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2020 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2019 | 4 | |
| 16 | 2020 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2018 | 3 | |
| 20 | 2019 | 3 |
About Chen Mei
Chen Mei is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Physiology, having authored 29 papers that have together received 225 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Immune cells in cancer (2 papers), Hematological disorders and diagnostics (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Hematology (142 citations), Genetics (50 citations), Cancer Research (29 citations), Oncology (37 citations) and Molecular Biology (93 citations). Chen Mei has collaborated with scholars based in China and United States. Frequent co-authors include Hongyan Tong, Jie Jin, Yanling Ren, Xinping Zhou, Yingwan Luo, Chao Hu, Liya Ma, Li Ye, Weilai Xu and Zhengping Zhuang. Their work appears in journals such as Blood, Hematological Oncology, Blood Cells Molecules and Diseases, Annals of Hematology and Cancer Medicine.
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.