Dan Ma
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Heme Oxygenase-1 and Carbon Monoxide 15
- Histone Deacetylase Inhibitors Research 12
- Hematology 27
- Acute Myeloid Leukemia Research 17
- Chronic Myeloid Leukemia Treatments 10
- Hematopoietic Stem Cell Transplantation 4
- Co-authors
- Jishi Wang (32 shared papers)Qin Fang (24 shared papers)Qin Fang (17 shared papers)L K Trejdosiewicz (1 shared paper)D Y Mason (1 shared paper)George Janossy (1 shared paper)Dario Campana (1 shared paper)A. V. Hoffbrand (1 shared paper)
- Journals
- Blood (7 papers)Biomedicine & Pharmacotherapy (4 papers)Cell Death and Disease (3 papers)Anti-Cancer Drugs (3 papers)Life Sciences (3 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Dan Ma
88 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Hematology 235
- Genetics 114
- Molecular Biology 661
- Immunology 171
- Cancer Research 91
Countries citing papers authored by Dan Ma
This map shows the geographic impact of Dan 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 Dan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ma more than expected).
Fields of papers citing papers by Dan Ma
This network shows the impact of papers produced by Dan 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 Dan Ma. The network helps show where Dan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 158 | |
| 2 | 2015 | 45 | |
| 3 | 2019 | 40 | |
| 4 | 2015 | 39 | |
| 5 | 2019 | 35 | |
| 6 | 2017 | 32 | |
| 7 | 2021 | 30 | |
| 8 | 2019 | 29 | |
| 9 | 2022 | 29 | |
| 10 | 2021 | 28 | |
| 11 | 2010 | 27 | |
| 12 | 2017 | 27 | |
| 13 | 2017 | 27 | |
| 14 | 2019 | 26 | |
| 15 | 2010 | 26 | |
| 16 | 2014 | 25 | |
| 17 | 2016 | 24 | |
| 18 | 2016 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2021 | 22 |
About Dan Ma
Dan Ma is a scholar working on Molecular Biology, Hematology, Genetics, Plant Science and Immunology, having authored 91 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Heme Oxygenase-1 and Carbon Monoxide (15 papers), Histone Deacetylase Inhibitors Research (12 papers), Chronic Myeloid Leukemia Treatments (10 papers), Research in Cotton Cultivation (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Hematology (235 citations), Genetics (114 citations), Molecular Biology (661 citations), Immunology (171 citations) and Cancer Research (91 citations). Dan Ma has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Jishi Wang, Qin Fang, Qin Fang, L K Trejdosiewicz, D Y Mason, George Janossy, Dario Campana, A. V. Hoffbrand, M Bofill and Chuanliang Liu. Their work appears in journals such as Blood, Biomedicine & Pharmacotherapy, Cell Death and Disease, Anti-Cancer Drugs and Life 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.