Ji‐chun Ma
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 31
- Histone Deacetylase Inhibitors Research 14
- Cancer-related gene regulation 13
- Circular RNAs in diseases 6
- RNA Research and Splicing 5
- Hematology 61
- Acute Myeloid Leukemia Research 57
- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Jiang Lin (88 shared papers)Jun Qian (72 shared papers)Xiang‐mei Wen (51 shared papers)Jing‐dong Zhou (45 shared papers)Zi‐jun Xu (44 shared papers)Zhaoqun Deng (41 shared papers)Ting‐juan Zhang (40 shared papers)Dong‐ming Yao (30 shared papers)
- Journals
- Leukemia Research (5 papers)Cancer Medicine (5 papers)Journal of Cellular Physiology (5 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (4 papers)Clinical Epigenetics (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ji‐chun Ma
99 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 78
- Hematology 624
- Cancer Research 557
- Molecular Biology 1.0k
- Genetics 112
- Immunology 186
Countries citing papers authored by Ji‐chun Ma
This map shows the geographic impact of Ji‐chun 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 Ji‐chun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji‐chun Ma more than expected).
Fields of papers citing papers by Ji‐chun Ma
This network shows the impact of papers produced by Ji‐chun 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 Ji‐chun Ma. The network helps show where Ji‐chun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji‐chun 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 157 | |
| 2 | 2018 | 86 | |
| 3 | 2012 | 71 | |
| 4 | 2019 | 69 | |
| 5 | 2019 | 61 | |
| 6 | 2017 | 47 | |
| 7 | 2013 | 45 | |
| 8 | 2012 | 44 | |
| 9 | 2017 | 42 | |
| 10 | 2014 | 41 | |
| 11 | Double CEBPA mutations are prognostically favorable in non-M3 acute myeloid leukemia patients with wild-type NPM1 and FLT3-ITD. | 2014 | 38 |
| 12 | 2018 | 30 | |
| 13 | 2020 | 28 | |
| 14 | 2018 | 27 | |
| 15 | 2013 | 26 | |
| 16 | 2014 | 25 | |
| 17 | 2016 | 25 | |
| 18 | 2017 | 25 | |
| 19 | 2017 | 24 | |
| 20 | 2021 | 24 |
About Ji‐chun Ma
Ji‐chun Ma is a scholar working on Molecular Biology, Hematology, Cancer Research, Genetics and Immunology, having authored 102 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (57 papers), Epigenetics and DNA Methylation (31 papers), MicroRNA in disease regulation (17 papers), Histone Deacetylase Inhibitors Research (14 papers), Cancer-related gene regulation (13 papers), Circular RNAs in diseases (6 papers), Chronic Myeloid Leukemia Treatments (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Hematology (624 citations), Cancer Research (557 citations), Molecular Biology (1.0k citations), Genetics (112 citations) and Immunology (186 citations). Ji‐chun Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiang Lin, Jun Qian, Xiang‐mei Wen, Jing‐dong Zhou, Zi‐jun Xu, Zhaoqun Deng, Ting‐juan Zhang, Dong‐ming Yao, Jing Yang and Jun Qian. Their work appears in journals such as Leukemia Research, Cancer Medicine, Journal of Cellular Physiology, Clinical Chemistry and Laboratory Medicine (CCLM) and Clinical Epigenetics.
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.