Mark Ma
Impact in
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- Iron Metabolism and Disorders
Papers in
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- RNA and protein synthesis mechanisms 2
- Protein purification and stability 2
- Glycosylation and Glycoproteins Research 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Juan José Pérez Ruixo (2 shared papers)Mark J. Rose (2 shared papers)Sameer Doshi (1 shared paper)Andrew Chow (1 shared paper)Mark Peterson (1 shared paper)Liviawati Sutjandra (1 shared paper)Graham Jang (1 shared paper)Wojciech Krzyżański (1 shared paper)
- Journals
- Blood (2 papers)Bioanalysis (2 papers)The AAPS Journal (2 papers)Experimental Lung Research (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Mark Ma
18 papers receiving 306 citations
Peers
Comparison fields: 5 of 54
- Hematology 53
- Orthopedics and Sports Medicine 29
- Genetics 29
- Endocrinology, Diabetes and Metabolism 42
- Oncology 67
Countries citing papers authored by Mark Ma
This map shows the geographic impact of Mark 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 Mark Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Ma more than expected).
Fields of papers citing papers by Mark Ma
This network shows the impact of papers produced by Mark 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 Mark Ma. The network helps show where Mark Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark 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
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 95 | |
| 2 | 2008 | 73 | |
| 3 | 2010 | 69 | |
| 4 | 2007 | 35 | |
| 5 | 2018 | 9 | |
| 6 | 2017 | 8 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 6 | |
| 9 | 2014 | 5 | |
| 10 | 2018 | 5 | |
| 11 | 2010 | 5 | |
| 12 | Exploratory biomarkers in the HGF/SF:c-Met axis: preclinical and clinical results | 2008 | 2 |
| 13 | 2017 | 2 | |
| 14 | 2003 | 2 | |
| 15 | 2017 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2015 | 1 |
About Mark Ma
Mark Ma is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Hematology, Immunology and Genetics, having authored 18 papers that have together received 327 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Biosimilars and Bioanalytical Methods (3 papers), Liver physiology and pathology (2 papers), RNA and protein synthesis mechanisms (2 papers), Protein purification and stability (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Iron Metabolism and Disorders (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Hematology (53 citations), Orthopedics and Sports Medicine (29 citations), Genetics (29 citations), Endocrinology, Diabetes and Metabolism (42 citations) and Oncology (67 citations). Mark Ma has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Juan José Pérez Ruixo, Mark J. Rose, Sameer Doshi, Andrew Chow, Mark Peterson, Liviawati Sutjandra, Graham Jang, Wojciech Krzyżański, Yuling Wu and Hongyan Li. Their work appears in journals such as Blood, Bioanalysis, The AAPS Journal, Experimental Lung Research and Analytical Biochemistry.
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.