Marcella Ma

22 papers receiving 879 citations

Peers

Marcella Ma
Comparison fields: 5 of 82
  • Endocrine and Autonomic Systems 110
  • Cancer Research 160
  • Molecular Biology 505
  • Genetics 200
  • Reproductive Medicine 50
Replace Suvi T. Ruohonen with:
Suvi T. Ruohonen Finland
Karen Nygard Canada
Takahiro Nemoto Japan
Nora E. Renthal United States
Kathleen J. Krentz United States
M Poissonnier France
Patrick Leduque France
Dai Chida Japan
Einar Castillo Switzerland
Khadijeh Rezaei Estonia
Marcella Ma relative to Suvi T. Ruohonen Finland Suvi T. Ruohonen's profile →
Citations per field
00.5×3.6×
Suvi T. Ruohonen · 1×
Citations per year

Countries citing papers authored by Marcella Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Marcella Ma Line = papers co-authored together Marcella Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013140
2 200897
3 202186
4 200979
5 202172
6 201870
7 201470
8 201937
9 202134
10 201731
11 201628
12 201528
13 201223
14 202015
15 202314
16 202013
17 202113
18 202012
19 202112
20 201712

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.

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