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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- Regulation of Appetite and Obesity 4
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- Cancer-related molecular mechanisms research 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)Yi‐Chun Loraine Tung (2 shared papers)Debra Rimmington (6 shared papers)Pawan Gulati (3 shared papers)Paul J. Lehner (2 shared papers)
- Journals
- Scientific Reports (2 papers)Cell Reports (2 papers)Molecular Metabolism (2 papers)Bioscience Reports (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Marcella Ma
22 papers receiving 879 citations
Peers
Comparison fields: 5 of 82
- Endocrine and Autonomic Systems 110
- Cancer Research 160
- Molecular Biology 505
- Genetics 200
- Reproductive Medicine 50
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 | 140 | |
| 2 | 2008 | 97 | |
| 3 | 2021 | 86 | |
| 4 | 2009 | 79 | |
| 5 | 2021 | 72 | |
| 6 | 2018 | 70 | |
| 7 | 2014 | 70 | |
| 8 | 2019 | 37 | |
| 9 | 2021 | 34 | |
| 10 | 2017 | 31 | |
| 11 | 2016 | 28 | |
| 12 | 2015 | 28 | |
| 13 | 2012 | 23 | |
| 14 | 2020 | 15 | |
| 15 | 2023 | 14 | |
| 16 | 2020 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2017 | 12 |
About Marcella Ma
Marcella Ma is a scholar working on Endocrine and Autonomic Systems, Cancer Research, Gastroenterology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 22 papers that have together received 895 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Adipose Tissue and Metabolism (4 papers), RNA modifications and cancer (4 papers), Regulation of Appetite and Obesity (4 papers), Epigenetics and DNA Methylation (3 papers), RNA Research and Splicing (3 papers), Cancer-related molecular mechanisms research (3 papers) and Biochemical Analysis and Sensing Techniques (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (110 citations), Cancer Research (160 citations), Molecular Biology (505 citations), Genetics (200 citations) and Reproductive Medicine (50 citations). Marcella Ma has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Giles S.H. Yeo, Stephen O’Rahilly, Anthony P. Coll, Brian Lam, Yi‐Chun Loraine Tung, Debra Rimmington, Pawan Gulati, Paul J. Lehner, Robin Antrobus and Kara Rainbow. Their work appears in journals such as Scientific Reports, Cell Reports, Molecular Metabolism, Bioscience Reports and Journal of Neuroscience.
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.