Nan Lin
- Communication top 0.1%
- Health top 0.1%
- Health disparities and outcomes 13
- Sociology and Political Science top 0.02%
- Social Capital and Networks 16
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- Statistical Methods and Inference 19
- Statistical Methods and Bayesian Inference 8
- Advanced Statistical Methods and Models 6
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- Anesthesia and Sedative Agents 8
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- China's Socioeconomic Reforms and Governance 6
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- Sparse and Compressive Sensing Techniques 5
Nan Lin
149 papers receiving 17.4k citations
Hit Papers
Peers
Comparison fields: 5 of 208
- Communication 2.2k
- Health 2.6k
- Sociology and Political Science 10.4k
- Management of Technology and Innovation 1.0k
- Organizational Behavior and Human Resource Management 1.5k
Countries citing papers authored by Nan Lin
This map shows the geographic impact of Nan Lin'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 Nan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nan Lin more than expected).
Fields of papers citing papers by Nan Lin
This network shows the impact of papers produced by Nan Lin. 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 Nan Lin. The network helps show where Nan Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nan Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2019 | 1 | |
| 8 | 2018 | 5 | |
| 9 | 2017 | 0 | |
| 10 | 2013 | 29 | |
| 11 | Reviews on Development of Soil Wind Erosion Models | 2013 | 1 |
| 12 | Social Capital and Its Institutional Contingency : A Study of the United States, China and Taiwan | 2013 | 22 |
| 13 | 2012 | 16 | |
| 14 | 2011 | 29 | |
| 15 | 2011 | 3 | |
| 16 | Economy and health | 2011 | 4 |
| 17 | 2011 | 318 | |
| 18 | 2010 | 120 | |
| 19 | The Chinese triangle of Mainland China, Taiwan, and Hong Kong : comparative institutional analyses | 2001 | 38 |
| 20 | 1981 | 118 |
About Nan Lin
Nan Lin is a scholar working on Statistics and Probability, General Engineering and Health, having authored 157 papers that have together received 19.5k indexed citations. Recurring topics across this work include Statistical Methods and Inference (19 papers), Social Capital and Networks (16 papers), Health disparities and outcomes (13 papers), Anesthesia and Sedative Agents (8 papers), Statistical Methods and Bayesian Inference (8 papers), China's Socioeconomic Reforms and Governance (6 papers), Advanced Statistical Methods and Models (6 papers) and Sparse and Compressive Sensing Techniques (5 papers). The work is most often cited by research in Communication (2.2k citations), Health (2.6k citations) and Sociology and Political Science (10.4k citations). Nan Lin has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Walter M. Ensel, Alfred Dean, Peter V. Marsden, S. D. Berkowitz, Ronald S. Burt, Michael Lounsbury, Karen S. Cook, John C. Vaughn, Wen H. Kuo and Ronald S. Simeone. Their work appears in journals such as Journal of Health and Social Behavior, Anesthesiology, Social Networks, Social Forces and Journal of Multivariate Analysis.
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.