Dan Ma
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in ⓘ
- Hematology 33
- Acute Myeloid Leukemia Research 20
- Chronic Myeloid Leukemia Treatments 12
- Hematopoietic Stem Cell Transplantation 6
- Genetics 14
- Chronic Lymphocytic Leukemia Research 6
- Mesenchymal stem cell research 5
- Co-authors
- Jishi Wang (33 shared papers)Qin Fang (24 shared papers)Qin Fang (18 shared papers)M Bofill (1 shared paper)L K Trejdosiewicz (1 shared paper)D Y Mason (1 shared paper)Dario Campana (1 shared paper)A. V. Hoffbrand (1 shared paper)
- Journals
- Blood (7 papers)Biomedicine & Pharmacotherapy (4 papers)Anti-Cancer Drugs (3 papers)The Science of The Total Environment (3 papers)Cell Death and Disease (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Dan Ma
87 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 123
- Hematology 262
- Genetics 141
- Molecular Biology 710
- Immunology 195
- Cancer Research 132
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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 158 | |
| 2 | 2015 | 45 | |
| 3 | 2015 | 39 | |
| 4 | 2019 | 37 | |
| 5 | 2019 | 35 | |
| 6 | 2017 | 32 | |
| 7 | 2021 | 30 | |
| 8 | 2019 | 28 | |
| 9 | 2022 | 28 | |
| 10 | 2017 | 27 | |
| 11 | 2021 | 27 | |
| 12 | 2010 | 27 | |
| 13 | 2017 | 26 | |
| 14 | 2010 | 26 | |
| 15 | 2014 | 25 | |
| 16 | 2019 | 24 | |
| 17 | 2016 | 24 | |
| 18 | 2016 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2016 | 22 |
About Dan Ma
Dan Ma is a scholar working on Hematology, Genetics, Molecular Biology, Cancer Research and Immunology, having authored 88 papers that have together received 1.3k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Histone Deacetylase Inhibitors Research (14 papers), Heme Oxygenase-1 and Carbon Monoxide (14 papers), Chronic Myeloid Leukemia Treatments (12 papers), Research in Cotton Cultivation (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Chronic Lymphocytic Leukemia Research (6 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Hematology (262 citations), Genetics (141 citations), Molecular Biology (710 citations), Immunology (195 citations) and Cancer Research (132 citations). Dan Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jishi Wang, Qin Fang, Qin Fang, M Bofill, L K Trejdosiewicz, D Y Mason, Dario Campana, A. V. Hoffbrand, George Janossy and Chuanliang Liu. Their work appears in journals such as Blood, Biomedicine & Pharmacotherapy, Anti-Cancer Drugs, The Science of The Total Environment and Cell Death and Disease.
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.