Shuling Lin
Impact in
- Virology top 5%
- Poxvirus research and outbreaks
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 4
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- Neuroscience and Neuropharmacology Research 2
- Neuropeptides and Animal Physiology 2
- Co-authors
- Qiang Zhao (3 shared papers)Xiaojing Chu (3 shared papers)Beili Wu (3 shared papers)Shengnan Zhu (1 shared paper)Minhui Chen (1 shared paper)Peter Silvera (1 shared paper)Patricia L. Earl (1 shared paper)Cuiying Yi (2 shared papers)
- Journals
- Nature (2 papers)Cell Research (1 paper)Frontiers in Public Health (1 paper)Frontiers in Plant Science (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Shuling Lin
15 papers receiving 436 citations
Peers
Comparison fields: 5 of 75
- Virology 101
- Cellular and Molecular Neuroscience 97
- Molecular Biology 245
- Applied Microbiology and Biotechnology 6
- Infectious Diseases 47
Countries citing papers authored by Shuling Lin
This map shows the geographic impact of Shuling 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 Shuling Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuling Lin more than expected).
Fields of papers citing papers by Shuling Lin
This network shows the impact of papers produced by Shuling 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 Shuling Lin. The network helps show where Shuling Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuling 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 | 2021 | 103 | |
| 2 | 2008 | 100 | |
| 3 | 2020 | 45 | |
| 4 | 2023 | 39 | |
| 5 | 2023 | 35 | |
| 6 | 2004 | 26 | |
| 7 | 2018 | 22 | |
| 8 | 2021 | 19 | |
| 9 | 2004 | 14 | |
| 10 | 2010 | 13 | |
| 11 | Phenology and the production of seeds and wasps in Ficus microcarpa in Guangzhou, China. | 2008 | 12 |
| 12 | 2023 | 11 | |
| 13 | 2008 | 4 | |
| 14 | 2025 | 3 | |
| 15 | FLORAL ONTOGENY OF TWO JATROPHA SPECIES (EUPHORBIACEAE S.S) AND ITS SYSTEMATIC IMPLICATIONS | 2015 | 1 |
| 16 | 2026 | 0 |
About Shuling Lin
Shuling Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Virology, having authored 16 papers that have together received 447 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Plant and animal studies (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Immunotherapy and Immune Responses (2 papers), Plant Diversity and Evolution (2 papers), Neuropeptides and Animal Physiology (2 papers), Plant Physiology and Cultivation Studies (1 paper) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Virology (101 citations), Cellular and Molecular Neuroscience (97 citations), Molecular Biology (245 citations), Applied Microbiology and Biotechnology (6 citations) and Infectious Diseases (47 citations). Shuling Lin has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Qiang Zhao, Xiaojing Chu, Beili Wu, Shengnan Zhu, Minhui Chen, Peter Silvera, Patricia L. Earl, Cuiying Yi, Elizabeth Peters and Bernard Moss. Their work appears in journals such as Nature, Cell Research, Frontiers in Public Health, Frontiers in Plant Science and Journal of Molecular Biology.
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.