M. Wang
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
-
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 15
- Oncology 11
- CAR-T cell therapy research 6
- Cancer Treatment and Pharmacology 2
- Co-authors
- Raymond Alexanian (2 shared papers)Kay Delasalle (2 shared papers)Sergio Giralt (4 shared papers)Beverly C. Handy (1 shared paper)Xiaohong Han (2 shared papers)L. Zhang (2 shared papers)Qing Yi (2 shared papers)Jorge Romaguera (3 shared papers)
- Journals
- Hematological Oncology (8 papers)Biology of Blood and Marrow Transplantation (2 papers)HemaSphere (2 papers)Journal of Clinical Oncology (2 papers)Leukemia (2 papers)
- Partner nations
- United StatesAustraliaPoland
In The Last Decade
M. Wang
20 papers receiving 352 citations
Peers
Comparison fields: 5 of 38
- Hematology 159
- Genetics 64
- Pathology and Forensic Medicine 106
- Oncology 159
- Molecular Biology 169
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 90 | |
| 2 | 2007 | 77 | |
| 3 | 2014 | 68 | |
| 4 | 2009 | 26 | |
| 5 | 2019 | 24 | |
| 6 | 2016 | 23 | |
| 7 | 2010 | 13 | |
| 8 | 2022 | 8 | |
| 9 | 2016 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2025 | 3 | |
| 12 | 2019 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2007 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2010 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2007 | 1 | |
| 20 | 2007 | 1 |
About M. Wang
M. Wang is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Molecular Biology and Hematology, having authored 24 papers that have together received 358 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (9 papers), CAR-T cell therapy research (6 papers), Multiple Myeloma Research and Treatments (4 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Corporate Social Responsibility Reporting (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Hematology (159 citations), Genetics (64 citations), Pathology and Forensic Medicine (106 citations), Oncology (159 citations) and Molecular Biology (169 citations). M. Wang has collaborated with scholars based in United States, Australia and Poland. Frequent co-authors include Raymond Alexanian, Kay Delasalle, Sergio Giralt, Beverly C. Handy, Xiaohong Han, L. Zhang, Qing Yi, Jorge Romaguera, Jing Qian and Jian Yang. Their work appears in journals such as Hematological Oncology, Biology of Blood and Marrow Transplantation, HemaSphere, Journal of Clinical Oncology and Leukemia.
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.