Genshan Ma
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Cancer Research top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Yuyu YaoLijuan ChenZhongpu ChenChengxing ShenYaoliang TangNeal L. WeintraubLan ZhangGangjian Qin
- Topics
- Coronary Interventions and Diagnostics (13 papers)Cardiac Imaging and Diagnostics (11 papers)MicroRNA in disease regulation (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Genshan Ma
68 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 682
- Cardiology and Cardiovascular Medicine 325
- Cancer Research 309
- Surgery 298
- Pulmonary and Respiratory Medicine 136
Countries citing papers authored by Genshan Ma
This map shows the geographic impact of Genshan 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 Genshan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Genshan Ma more than expected).
Fields of papers citing papers by Genshan Ma
This network shows the impact of papers produced by Genshan 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 Genshan Ma. The network helps show where Genshan Ma may publish in the future.
Co-authorship network of co-authors of Genshan Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Genshan Ma. A scholar is included among the top collaborators of Genshan Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Genshan Ma. Genshan Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 10 | |
| 5 | 19 | |
| 6 | 24 | |
| 7 | 7 | |
| 8 | 16 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 6 | |
| 12 | 8 | |
| 13 | 22 | |
| 14 | 26 | |
| 15 | 28 | |
| 16 | 18 | |
| 17 | 3 | |
| 18 | The Chronic Inflammation and NF-κB Gene Polymorphism in Patients with Chronic Coronary Heart Disease | 1 |
| 19 | 3 | |
| 20 | Effect of CD_(40)-CD_(40) ligand interaction on proliferation and migration in cultured human umbilical vein endothelial cells | 1 |
About Genshan Ma
Genshan Ma is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research and Genetics, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Coronary Interventions and Diagnostics (13 papers), Cardiac Imaging and Diagnostics (11 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Cancer Research (309 citations), Cardiology and Cardiovascular Medicine (325 citations) and Genetics (123 citations). Genshan Ma has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yuyu Yao, Lijuan Chen, Zhongpu Chen, Chengxing Shen, Yaoliang Tang, Neal L. Weintraub, Lan Zhang, Gangjian Qin, Yingjie Wang and Yaohua Pan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.