Sucan Ma
Impact in
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- Protein Kinase Regulation and GTPase Signaling
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
- Chemical Synthesis and Analysis
- Protein Structure and Dynamics
- Protein Tyrosine Phosphatases
Papers in
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- Ubiquitin and proteasome pathways 5
- Plant biochemistry and biosynthesis 4
- Protein Kinase Regulation and GTPase Signaling 2
- 14-3-3 protein interactions 2
- Protein Structure and Dynamics 2
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- Hippo pathway signaling and YAP/TAZ 2
- Endoplasmic Reticulum Stress and Disease 2
- Co-authors
- Youhe Gao (14 shared papers)Haiming Huang (3 shared papers)Chenggang Wu (1 shared paper)Karen Colwill (1 shared paper)Shawn S.‐C. Li (1 shared paper)Chengjun Li (1 shared paper)David Schibli (1 shared paper)Lei Li (1 shared paper)
- Journals
- Journal of Proteome Research (2 papers)Molecular & Cellular Proteomics (2 papers)PLoS ONE (2 papers)Journal of Mass Spectrometry (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Sucan Ma
14 papers receiving 326 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 259
- Cell Biology 56
- Immunology and Allergy 18
- Spectroscopy 48
- Radiology, Nuclear Medicine and Imaging 47
Countries citing papers authored by Sucan Ma
This map shows the geographic impact of Sucan 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 Sucan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sucan Ma more than expected).
Fields of papers citing papers by Sucan Ma
This network shows the impact of papers produced by Sucan 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 Sucan Ma. The network helps show where Sucan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Sucan 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 | 2007 | 176 | |
| 2 | 2006 | 29 | |
| 3 | 2012 | 27 | |
| 4 | 2008 | 21 | |
| 5 | 2014 | 21 | |
| 6 | 2009 | 12 | |
| 7 | 2008 | 8 | |
| 8 | 2013 | 7 | |
| 9 | Finding potential ligands for PDZ domains by tailfit, a JAVA program. | 2004 | 7 |
| 10 | 2012 | 6 | |
| 11 | 2007 | 5 | |
| 12 | 2010 | 5 | |
| 13 | 2012 | 2 | |
| 14 | 2009 | 1 |
About Sucan Ma
Sucan Ma is a scholar working on Molecular Biology, Cell Biology, Spectroscopy, Cellular and Molecular Neuroscience and Oncology, having authored 14 papers that have together received 327 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Plant biochemistry and biosynthesis (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), 14-3-3 protein interactions (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Biology (259 citations), Cell Biology (56 citations), Immunology and Allergy (18 citations), Spectroscopy (48 citations) and Radiology, Nuclear Medicine and Imaging (47 citations). Sucan Ma has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Youhe Gao, Haiming Huang, Chenggang Wu, Karen Colwill, Shawn S.‐C. Li, Chengjun Li, David Schibli, Lei Li, Zhou Songyang and Tony Pawson. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, PLoS ONE, Journal of Mass Spectrometry and The FASEB Journal.
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.