Wanlong Ma
Impact in
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
Papers in
- Hematology 25
- Acute Myeloid Leukemia Research 14
- Chronic Myeloid Leukemia Treatments 9
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- Ubiquitin and proteasome pathways 7
- Co-authors
- Maher Albitar (50 shared papers)Hagop M. Kantarjian (21 shared papers)Ola Landgren (2 shared papers)Neil E. Caporaso (1 shared paper)Fatima Abbasi (1 shared paper)Gerald E. Marti (1 shared paper)Paolo Ghia (1 shared paper)Richard B. Hayes (1 shared paper)
- Journals
- Blood (17 papers)Journal of Clinical Oncology (12 papers)Leukemia Research (4 papers)Journal of Cancer (3 papers)Oncotarget (2 papers)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Wanlong Ma
68 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 64
- Genetics 533
- Hematology 311
- Pathology and Forensic Medicine 248
- Cancer Research 150
- Immunology 181
Countries citing papers authored by Wanlong Ma
This map shows the geographic impact of Wanlong 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 Wanlong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanlong Ma more than expected).
Fields of papers citing papers by Wanlong Ma
This network shows the impact of papers produced by Wanlong 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 Wanlong Ma. The network helps show where Wanlong Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanlong 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 245 | |
| 2 | 2008 | 66 | |
| 3 | 2020 | 59 | |
| 4 | 2008 | 48 | |
| 5 | 2009 | 43 | |
| 6 | 2018 | 42 | |
| 7 | 2020 | 35 | |
| 8 | 2016 | 35 | |
| 9 | 2008 | 30 | |
| 10 | 2011 | 30 | |
| 11 | 2009 | 30 | |
| 12 | 2009 | 27 | |
| 13 | 2009 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2012 | 21 | |
| 16 | 2017 | 20 | |
| 17 | 2014 | 18 | |
| 18 | 2017 | 17 | |
| 19 | 2023 | 17 | |
| 20 | 2010 | 16 |
About Wanlong Ma
Wanlong Ma is a scholar working on Hematology, Molecular Biology, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Cancer Genomics and Diagnostics (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (9 papers), Ubiquitin and proteasome pathways (7 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Eosinophilic Disorders and Syndromes (5 papers). The work is most often cited by research in Genetics (533 citations), Hematology (311 citations), Pathology and Forensic Medicine (248 citations), Cancer Research (150 citations) and Immunology (181 citations). Wanlong Ma has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Maher Albitar, Hagop M. Kantarjian, Ola Landgren, Neil E. Caporaso, Fatima Abbasi, Gerald E. Marti, Paolo Ghia, Richard B. Hayes, Francis J. Giles and Chen-Hsiung Yeh. Their work appears in journals such as Blood, Journal of Clinical Oncology, Leukemia Research, Journal of Cancer and Oncotarget.
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.