M. Wang
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 16
- Oncology 14
- CAR-T cell therapy research 6
- Viral-associated cancers and disorders 3
- Cancer Treatment and Pharmacology 2
- Co-authors
- Kay Delasalle (2 shared papers)Sergio Giralt (4 shared papers)Raymond Alexanian (2 shared papers)Beverly C. Handy (1 shared paper)L. Zhang (2 shared papers)Qing Yi (2 shared papers)Xiaohong Han (2 shared papers)Jorge Romaguera (3 shared papers)
- Journals
- Hematological Oncology (8 papers)Leukemia (2 papers)Annals of Oncology (2 papers)Biology of Blood and Marrow Transplantation (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
M. Wang
25 papers receiving 349 citations
Peers
Comparison fields: 5 of 42
- Hematology 151
- Genetics 81
- Pathology and Forensic Medicine 116
- Oncology 176
- Molecular Biology 191
Countries citing papers authored by M. Wang
This map shows the geographic impact of M. Wang'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 M. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Wang more than expected).
Fields of papers citing papers by M. Wang
This network shows the impact of papers produced by M. Wang. 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 M. Wang. The network helps show where M. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Wang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 84 | |
| 2 | 2007 | 76 | |
| 3 | 2014 | 61 | |
| 4 | 2009 | 26 | |
| 5 | 2019 | 24 | |
| 6 | 2016 | 21 | |
| 7 | 2010 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2016 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2019 | 6 | |
| 12 | 2019 | 3 | |
| 13 | 2025 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2025 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2007 | 1 |
About M. Wang
M. Wang is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Genetics and Hematology, having authored 32 papers that have together received 351 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Chronic Lymphocytic Leukemia Research (9 papers), CAR-T cell therapy research (6 papers), Multiple Myeloma Research and Treatments (5 papers), Viral-associated cancers and disorders (3 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Hematology (151 citations), Genetics (81 citations), Pathology and Forensic Medicine (116 citations), Oncology (176 citations) and Molecular Biology (191 citations). M. Wang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Kay Delasalle, Sergio Giralt, Raymond Alexanian, Beverly C. Handy, L. Zhang, Qing Yi, Xiaohong Han, Jorge Romaguera, Larry W. Kwak and Jian Yang. Their work appears in journals such as Hematological Oncology, Leukemia, Annals of Oncology, Biology of Blood and Marrow Transplantation and Journal of Clinical Oncology.
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.