M Wang
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
-
- Peptidase Inhibition and Analysis
Papers in
-
- Protein Degradation and Inhibitors 3
- Cell death mechanisms and regulation 2
- Oncology 7
- Peptidase Inhibition and Analysis 4
- Cancer-related Molecular Pathways 2
- Co-authors
- Walter N. Hittelman (2 shared papers)Mariza de Andrade (1 shared paper)Kapil Dhingra (1 shared paper)Joachim G. Liehr (1 shared paper)Daniel J. Drucker (2 shared papers)D. Weber (4 shared papers)Jatin J. Shah (3 shared papers)Robert Z. Orlowski (3 shared papers)
- Journals
- Bone Marrow Transplantation (3 papers)Leukemia (2 papers)British Journal of Cancer (1 paper)Endocrinology (1 paper)Molecular Endocrinology (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
M Wang
14 papers receiving 731 citations
Peers
Comparison fields: 5 of 81
- Hematology 200
- Oncology 228
- Molecular Biology 507
- Cancer Research 109
- Biochemistry 35
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
| # | Work | ||
|---|---|---|---|
| 1 | Lipid peroxidation-induced putative malondialdehyde-DNA adducts in human breast tissues. | 1996 | 185 |
| 2 | 2017 | 136 | |
| 3 | 2013 | 99 | |
| 4 | 2005 | 65 | |
| 5 | DNA adducts in human pancreatic tissues and their potential role in carcinogenesis. | 1998 | 61 |
| 6 | 1996 | 47 | |
| 7 | 2009 | 39 | |
| 8 | 1996 | 35 | |
| 9 | 2016 | 27 | |
| 10 | 1994 | 20 | |
| 11 | Expression of apoptosis-related genes in human head and neck squamous cell carcinomas undergoing p53-mediated programmed cell death. | 1999 | 15 |
| 12 | 2014 | 14 | |
| 13 | Head and neck squamous cell growth suppression using adenovirus-p53-FLAG: a potential marker for gene therapy trials. | 1997 | 13 |
| 14 | 2013 | 2 |
About M Wang
M Wang is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Surgery, having authored 14 papers that have together received 758 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Peptidase Inhibition and Analysis (4 papers), Protein Degradation and Inhibitors (3 papers), Pancreatic function and diabetes (2 papers), Cancer-related Molecular Pathways (2 papers), Virus-based gene therapy research (2 papers), Cell death mechanisms and regulation (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Hematology (200 citations), Oncology (228 citations), Molecular Biology (507 citations), Cancer Research (109 citations) and Biochemistry (35 citations). M Wang has collaborated with scholars based in United States and Canada. Frequent co-authors include Walter N. Hittelman, Mariza de Andrade, Kapil Dhingra, Joachim G. Liehr, Daniel J. Drucker, D. Weber, Jatin J. Shah, Robert Z. Orlowski, Sheeba K. Thomas and Gary L. Clayman. Their work appears in journals such as Bone Marrow Transplantation, Leukemia, British Journal of Cancer, Endocrinology and Molecular Endocrinology.
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.