Lan Ma
Impact in
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- Electrospun Nanofibers in Biomedical Applications
Papers in
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- Retinal Imaging and Analysis 7
- Monoclonal and Polyclonal Antibodies Research 3
- COVID-19 diagnosis using AI 2
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- Advanced biosensing and bioanalysis techniques 5
- Co-authors
- Huaibin Shen (4 shared papers)Lin Song Li (4 shared papers)Hang Yuan (3 shared papers)Hengyue Xu (1 shared paper)Daqin Guan (1 shared paper)Hongzhe Wang (2 shared papers)Yan Yang (1 shared paper)Feng Wu (4 shared papers)
- Journals
- RSC Advances (3 papers)Scientific Reports (2 papers)Chemical Communications (1 paper)Dalton Transactions (1 paper)Frontiers in Bioengineering and Biotechnology (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Lan Ma
31 papers receiving 373 citations
Peers
Comparison fields: 5 of 87
- Health Informatics 7
- Biomaterials 53
- Materials Chemistry 156
- Media Technology 19
- Electrical and Electronic Engineering 97
Countries citing papers authored by Lan Ma
This map shows the geographic impact of Lan 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 Lan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Ma more than expected).
Fields of papers citing papers by Lan Ma
This network shows the impact of papers produced by Lan 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 Lan Ma. The network helps show where Lan Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 50 | |
| 2 | 2022 | 43 | |
| 3 | 2011 | 36 | |
| 4 | 2022 | 33 | |
| 5 | 2019 | 30 | |
| 6 | 2019 | 21 | |
| 7 | 2021 | 19 | |
| 8 | 2011 | 19 | |
| 9 | 2022 | 15 | |
| 10 | 2025 | 14 | |
| 11 | 2017 | 14 | |
| 12 | 2023 | 14 | |
| 13 | 2024 | 12 | |
| 14 | 2022 | 10 | |
| 15 | 2013 | 9 | |
| 16 | 2023 | 6 | |
| 17 | 2025 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Lan Ma
Lan Ma is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Materials Chemistry, Ophthalmology and Neurology, having authored 35 papers that have together received 379 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Retinal and Optic Conditions (4 papers), Quantum Dots Synthesis And Properties (3 papers), Retinal Diseases and Treatments (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Nanocluster Synthesis and Applications (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (7 citations), Biomaterials (53 citations), Materials Chemistry (156 citations), Media Technology (19 citations) and Electrical and Electronic Engineering (97 citations). Lan Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Huaibin Shen, Lin Song Li, Hang Yuan, Hengyue Xu, Daqin Guan, Hongzhe Wang, Yan Yang, Feng Wu, Yuee Chen and Lanlan Hou. Their work appears in journals such as RSC Advances, Scientific Reports, Chemical Communications, Dalton Transactions and Frontiers in Bioengineering and Biotechnology.
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.