Long Ma
Impact in
- Biomedical Engineering top 10%
- Nanopore and Nanochannel Transport Studies
- Membrane-based Ion Separation Techniques
- Graphene and Nanomaterials Applications
Papers in
-
- Fuel Cells and Related Materials 12
-
- Nanopore and Nanochannel Transport Studies 16
- Membrane-based Ion Separation Techniques 13
- Co-authors
- Yinghua Qiu (16 shared papers)Mengyao Yan (4 shared papers)Shuli Man (4 shared papers)Wenyuan Gao (3 shared papers)Lanping Guo (2 shared papers)Luqi Huang (1 shared paper)Zhishan Yuan (3 shared papers)Chuanzhen Huang (4 shared papers)
- Journals
- Physics of Fluids (3 papers)Langmuir (2 papers)Chinese Physics Letters (2 papers)The Journal of Chemical Physics (2 papers)Computer-Aided Design (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Long Ma
51 papers receiving 896 citations
Long Ma's Hit Papers
Peers
Comparison fields: 5 of 113
- Biomedical Engineering 408
- Biological Psychiatry 13
- Electronic, Optical and Magnetic Materials 96
- Water Science and Technology 65
- Materials Chemistry 197
Countries citing papers authored by Long Ma
This map shows the geographic impact of Long 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 Long Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Ma more than expected).
Fields of papers citing papers by Long Ma
This network shows the impact of papers produced by Long 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 Long Ma. The network helps show where Long Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Gut liver brain axis in diseases: the implications for therapeutic interventions Hit paper breakdown → | 2023 | 156 |
| 2 | 2018 | 138 | |
| 3 | 2024 | 73 | |
| 4 | 2020 | 69 | |
| 5 | 2020 | 59 | |
| 6 | 2022 | 38 | |
| 7 | 2021 | 36 | |
| 8 | 2022 | 35 | |
| 9 | 2022 | 32 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2024 | 18 | |
| 14 | 2022 | 18 | |
| 15 | 2023 | 17 | |
| 16 | 2022 | 13 | |
| 17 | 2024 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2024 | 9 | |
| 20 | 2015 | 9 |
About Long Ma
Long Ma is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Computational Mechanics, having authored 58 papers that have together received 909 indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (16 papers), Membrane-based Ion Separation Techniques (13 papers), Fuel Cells and Related Materials (12 papers), Semiconductor Quantum Structures and Devices (5 papers), Advanced Numerical Analysis Techniques (5 papers), Quantum and electron transport phenomena (4 papers), 3D Shape Modeling and Analysis (4 papers) and Electromagnetic wave absorption materials (3 papers). The work is most often cited by research in Biomedical Engineering (408 citations), Biological Psychiatry (13 citations), Electronic, Optical and Magnetic Materials (96 citations), Water Science and Technology (65 citations) and Materials Chemistry (197 citations). Long Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yinghua Qiu, Mengyao Yan, Shuli Man, Wenyuan Gao, Lanping Guo, Luqi Huang, Zhishan Yuan, Chuanzhen Huang, Zhongwu Li and Zuzanna S. Siwy. Their work appears in journals such as Physics of Fluids, Langmuir, Chinese Physics Letters, The Journal of Chemical Physics and Computer-Aided Design.
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.