Lin Ma
Impact in
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Fiscal Policy and Economic Growth 5
- Regional Economics and Spatial Analysis 3
-
- Migration and Labor Dynamics 5
- Co-authors
- Yang Tang (5 shared papers)Bo Huang (4 shared papers)Xiu Nie (4 shared papers)Shuo Chen (2 shared papers)Qin Cao (2 shared papers)Xiang Li (2 shared papers)Ya-jun Chen (1 shared paper)Jun He (1 shared paper)
- Journals
- Journal of Applied Physics (3 papers)Sensors (3 papers)Sustainability (3 papers)Journal of International Economics (3 papers)Journal of Urban Economics (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Lin Ma
54 papers receiving 969 citations
Peers
Comparison fields: 5 of 150
- Obstetrics and Gynecology 203
- Infectious Diseases 242
- Neurology 99
- Reproductive Medicine 53
- General Economics, Econometrics and Finance 48
Countries citing papers authored by Lin Ma
This map shows the geographic impact of Lin 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 Lin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Ma more than expected).
Fields of papers citing papers by Lin Ma
This network shows the impact of papers produced by Lin 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 Lin Ma. The network helps show where Lin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 298 | |
| 2 | 2020 | 73 | |
| 3 | 2020 | 68 | |
| 4 | 2019 | 63 | |
| 5 | 2020 | 42 | |
| 6 | 2015 | 34 | |
| 7 | 2020 | 32 | |
| 8 | 2015 | 31 | |
| 9 | 2022 | 29 | |
| 10 | 2010 | 25 | |
| 11 | 2005 | 25 | |
| 12 | 2020 | 24 | |
| 13 | 2021 | 23 | |
| 14 | 2021 | 19 | |
| 15 | 2014 | 18 | |
| 16 | 2019 | 18 | |
| 17 | 2014 | 17 | |
| 18 | 2016 | 13 | |
| 19 | 2015 | 12 | |
| 20 | 2023 | 11 |
About Lin Ma
Lin Ma is a scholar working on Economics and Econometrics, Sociology and Political Science, Electrical and Electronic Engineering, General Economics, Econometrics and Finance and Atomic and Molecular Physics, and Optics, having authored 62 papers that have together received 997 indexed citations. Recurring topics across this work include Global trade and economics (6 papers), Fiscal Policy and Economic Growth (5 papers), Migration and Labor Dynamics (5 papers), Semiconductor materials and interfaces (4 papers), Semiconductor materials and devices (4 papers), Inertial Sensor and Navigation (4 papers), Silicon and Solar Cell Technologies (4 papers) and Regional Economics and Spatial Analysis (3 papers). The work is most often cited by research in Obstetrics and Gynecology (203 citations), Infectious Diseases (242 citations), Neurology (99 citations), Reproductive Medicine (53 citations) and General Economics, Econometrics and Finance (48 citations). Lin Ma has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yang Tang, Bo Huang, Xiu Nie, Shuo Chen, Qin Cao, Xiang Li, Ya-jun Chen, Jun He, Jun Fan and Ming Zhou. Their work appears in journals such as Journal of Applied Physics, Sensors, Sustainability, Journal of International Economics and Journal of Urban Economics.
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.