Hong Ma
- Molecular Biology top 10%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Surgery
- Neurology top 5%
- Co-authors
- Bo FangXiaoqian LiWenfei TanRonald BerezneyFengshou ChenZai-Li ZhangAlan J. SiegelXiaoyan Ren
- Topics
- Cardiac Ischemia and Reperfusion (10 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)Spinal Cord Injury Research (9 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hong Ma
72 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.0k
- Cancer Research 389
- Pathology and Forensic Medicine 342
- Surgery 254
- Neurology 247
Countries citing papers authored by Hong Ma
This map shows the geographic impact of Hong 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 Hong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Ma more than expected).
Fields of papers citing papers by Hong Ma
This network shows the impact of papers produced by Hong 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 Hong Ma. The network helps show where Hong Ma may publish in the future.
Co-authorship network of co-authors of Hong Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Hong Ma. A scholar is included among the top collaborators of Hong 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 Hong Ma. Hong 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 | 0 | |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 25 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 41 | |
| 9 | 26 | |
| 10 | 44 | |
| 11 | 18 | |
| 12 | Construction and practice of CNPC ’s “trinity” management model for overseas hydrocarbon exploration | 1 |
| 13 | 79 | |
| 14 | 90 | |
| 15 | 91 | |
| 16 | 33 | |
| 17 | 30 | |
| 18 | [A case-control study on the risk factors in postoperative cognitive dysfunction induced by patient self-controlled intravenous analgesia]. | 2 |
| 19 | Effect of angiotensin converting enzyme inhibitor on the calcium transients and calcium handling proteins in ventricular myocytes from rats with heart failure. | 3 |
| 20 | 26 |
About Hong Ma
Hong Ma is a scholar working on Neurology, Developmental Neuroscience and Pathology and Forensic Medicine, having authored 74 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Spinal Cord Injury Research (9 papers). The work is most often cited by research in Developmental Neuroscience (126 citations), Neurology (247 citations) and Cancer Research (389 citations). Hong Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Bo Fang, Xiaoqian Li, Wenfei Tan, Ronald Berezney, Fengshou Chen, Zai-Li Zhang, Alan J. Siegel, Xiaoyan Ren, Jagath Samarabandu and Paul F. White. Their work appears in journals such as The Journal of Cell Biology, PLoS ONE and Brain Research.
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.