Kan Ma
Impact in
- Physiology top 5%
- Alzheimer's disease research and treatments
- Biomaterials top 5%
- Supramolecular Self-Assembly in Materials
Papers in ⓘ
-
- Protein Structure and Dynamics 5
-
- High Entropy Alloys Studies 6
- Co-authors
- Michael G. Zagorski (6 shared papers)Kuan Wang (6 shared papers)Haiyan Shao (3 shared papers)Shu‐Chuan Jao (2 shared papers)Lou‐Sing Kan (1 shared paper)Hou‐Ming Wu (9 shared papers)Hong Zeng (2 shared papers)Anita Hong (1 shared paper)
- Journals
- Journal of Natural Products (5 papers)Acta Materialia (5 papers)Phytochemistry (4 papers)Chinese Journal of Chemistry (3 papers)Scripta Materialia (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Kan Ma
50 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 117
- Physiology 512
- Biomaterials 196
- Molecular Biology 830
- Computational Theory and Mathematics 129
- Aging 14
Countries citing papers authored by Kan Ma
This map shows the geographic impact of Kan 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 Kan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Ma more than expected).
Fields of papers citing papers by Kan Ma
This network shows the impact of papers produced by Kan 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 Kan Ma. The network helps show where Kan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 263 | |
| 2 | 1999 | 159 | |
| 3 | 2002 | 123 | |
| 4 | 2001 | 116 | |
| 5 | 1997 | 97 | |
| 6 | 1999 | 81 | |
| 7 | 2002 | 63 | |
| 8 | 2003 | 45 | |
| 9 | 1995 | 41 | |
| 10 | 2006 | 35 | |
| 11 | 2021 | 31 | |
| 12 | 1996 | 30 | |
| 13 | 2006 | 28 | |
| 14 | 2020 | 24 | |
| 15 | 2023 | 23 | |
| 16 | 2022 | 20 | |
| 17 | 1995 | 20 | |
| 18 | 2010 | 18 | |
| 19 | 1995 | 17 | |
| 20 | 1995 | 16 |
About Kan Ma
Kan Ma is a scholar working on Molecular Biology, Mechanical Engineering, Materials Chemistry, Cardiology and Cardiovascular Medicine and Computational Mechanics, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Nuclear Materials and Properties (6 papers), Fusion materials and technologies (6 papers), Ion-surface interactions and analysis (6 papers), High Entropy Alloys Studies (6 papers), High-Temperature Coating Behaviors (5 papers), Protein Structure and Dynamics (5 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Physiology (512 citations), Biomaterials (196 citations), Molecular Biology (830 citations), Computational Theory and Mathematics (129 citations) and Aging (14 citations). Kan Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael G. Zagorski, Kuan Wang, Haiyan Shao, Shu‐Chuan Jao, Lou‐Sing Kan, Hou‐Ming Wu, Hong Zeng, Anita Hong, Jing Yang and Ron Orlando. Their work appears in journals such as Journal of Natural Products, Acta Materialia, Phytochemistry, Chinese Journal of Chemistry and Scripta Materialia.
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.