Cong Ma
Impact in
- Cell Biology top 0.5%
- Cellular transport and secretion
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Erythrocyte Function and Pathophysiology
Papers in
-
- Lipid Membrane Structure and Behavior 20
- Retinal Development and Disorders 10
- Cell Biology 40
- Cellular transport and secretion 38
- Co-authors
- Josep Rizo (11 shared papers)Yibin Xu (4 shared papers)Shen Wang (23 shared papers)Yu‐Dong Xiao (10 shared papers)Zishu Zhang (11 shared papers)Wei Li (2 shared papers)Alpay B. Seven (3 shared papers)Lijing Su (3 shared papers)
- Journals
- eLife (5 papers)Scientific Reports (5 papers)Nature Structural & Molecular Biology (4 papers)Nature Communications (4 papers)Medicine (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Cong Ma
136 papers receiving 3.3k citations
Cong Ma's Hit Papers
Peers
Comparison fields: 5 of 133
- Cell Biology 1.5k
- Physiology 234
- Cellular and Molecular Neuroscience 553
- Molecular Biology 1.7k
- Hepatology 158
Countries citing papers authored by Cong Ma
This map shows the geographic impact of Cong 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 Cong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Ma more than expected).
Fields of papers citing papers by Cong Ma
This network shows the impact of papers produced by Cong 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 Cong Ma. The network helps show where Cong Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MRI contrast agents: Classification and application (Review) Hit paper breakdown → | 2016 | 376 |
| 2 | 2012 | 306 | |
| 3 | 2011 | 270 | |
| 4 | 2015 | 132 | |
| 5 | 2008 | 106 | |
| 6 | 2010 | 93 | |
| 7 | 2017 | 92 | |
| 8 | 2016 | 90 | |
| 9 | 2008 | 89 | |
| 10 | 2019 | 86 | |
| 11 | 2011 | 77 | |
| 12 | 2023 | 73 | |
| 13 | 2017 | 67 | |
| 14 | 2011 | 66 | |
| 15 | 2016 | 65 | |
| 16 | 2009 | 63 | |
| 17 | 2018 | 47 | |
| 18 | 2013 | 40 | |
| 19 | 2013 | 39 | |
| 20 | 2018 | 38 |
About Cong Ma
Cong Ma is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Cellular and Molecular Neuroscience and Hepatology, having authored 143 papers that have together received 3.4k indexed citations. Recurring topics across this work include Cellular transport and secretion (38 papers), Lipid Membrane Structure and Behavior (20 papers), Hepatocellular Carcinoma Treatment and Prognosis (13 papers), Retinal Development and Disorders (10 papers), Calcium signaling and nucleotide metabolism (9 papers), Neuroscience and Neuropharmacology Research (8 papers), Liver Disease Diagnosis and Treatment (7 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Cell Biology (1.5k citations), Physiology (234 citations), Cellular and Molecular Neuroscience (553 citations), Molecular Biology (1.7k citations) and Hepatology (158 citations). Cong Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Josep Rizo, Yibin Xu, Shen Wang, Yu‐Dong Xiao, Zishu Zhang, Wei Li, Alpay B. Seven, Lijing Su, Shunke Zhou and Ramchandra Paudel. Their work appears in journals such as eLife, Scientific Reports, Nature Structural & Molecular Biology, Nature Communications and Medicine.
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.