Marcella Ma
Impact in
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- Regulation of Appetite and Obesity
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- RNA modifications and cancer 4
- RNA Research and Splicing 3
- Epigenetics and DNA Methylation 3
- Pluripotent Stem Cells Research 2
- Surgery 4
- Pancreatic function and diabetes 3
- Co-authors
- Giles S.H. Yeo (16 shared papers)Stephen O’Rahilly (11 shared papers)Anthony P. Coll (7 shared papers)Brian Lam (11 shared papers)Debra Rimmington (6 shared papers)Yi‐Chun Loraine Tung (2 shared papers)Pawan Gulati (3 shared papers)Robin Antrobus (2 shared papers)
- Journals
- Molecular Metabolism (2 papers)Cell Reports (2 papers)Scientific Reports (2 papers)Frontiers in Pharmacology (1 paper)Cell stem cell (1 paper)
- Partner nations
- United KingdomFranceUnited States
In The Last Decade
Marcella Ma
22 papers receiving 912 citations
Peers
Comparison fields: 5 of 82
- Endocrine and Autonomic Systems 107
- Cancer Research 149
- Genetics 195
- Molecular Biology 482
- Reproductive Medicine 49
Countries citing papers authored by Marcella Ma
This map shows the geographic impact of Marcella 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 Marcella Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcella Ma more than expected).
Fields of papers citing papers by Marcella Ma
This network shows the impact of papers produced by Marcella 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 Marcella Ma. The network helps show where Marcella Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcella 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 142 | |
| 2 | 2008 | 102 | |
| 3 | 2021 | 90 | |
| 4 | 2009 | 85 | |
| 5 | 2018 | 74 | |
| 6 | 2021 | 73 | |
| 7 | 2014 | 71 | |
| 8 | 2019 | 39 | |
| 9 | 2021 | 36 | |
| 10 | 2017 | 33 | |
| 11 | 2016 | 31 | |
| 12 | 2015 | 28 | |
| 13 | 2012 | 24 | |
| 14 | 2023 | 15 | |
| 15 | 2020 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2017 | 14 | |
| 18 | 2021 | 14 | |
| 19 | 2021 | 12 | |
| 20 | 2020 | 12 |
About Marcella Ma
Marcella Ma is a scholar working on Molecular Biology, Surgery, Physiology, Endocrine and Autonomic Systems and Epidemiology, having authored 22 papers that have together received 934 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (4 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (3 papers), Regulation of Appetite and Obesity (3 papers), Pancreatic function and diabetes (3 papers), Cancer-related molecular mechanisms research (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (107 citations), Cancer Research (149 citations), Genetics (195 citations), Molecular Biology (482 citations) and Reproductive Medicine (49 citations). Marcella Ma has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Giles S.H. Yeo, Stephen O’Rahilly, Anthony P. Coll, Brian Lam, Debra Rimmington, Yi‐Chun Loraine Tung, Pawan Gulati, Robin Antrobus, Paul J. Lehner and Kara Rainbow. Their work appears in journals such as Molecular Metabolism, Cell Reports, Scientific Reports, Frontiers in Pharmacology and Cell stem cell.
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.