Yulin Zhao
- Modeling and Simulation top 5%
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- Neuroscience and Neuropharmacology Research 7
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- Mathematical and Theoretical Epidemiology and Ecology Models 4
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- Ion channel regulation and function 7
- Receptor Mechanisms and Signaling 5
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- Immune Response and Inflammation 6
- Aquaculture disease management and microbiota 4
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- Vibrio bacteria research studies 3
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- Cervical and Thoracic Myelopathy 3
- Co-authors
- Zhilan FengRobert W. PeoplesHong RenPaul A. SlesingerDonard S. DwyerIan W. GlaaserAimin LiJorge X. Velasco‐Hernández
- Cited by
- Modeling and SimulationCellular and Molecular NeurosciencePublic Health, Environmental and Occupational Health
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)The FASEB Journal (1 paper)
- Partner nations
- ChinaUnited StatesSerbia
In The Last Decade
Yulin Zhao
30 papers receiving 453 citations
Peers
Comparison fields: 5 of 83
- Modeling and Simulation 61
- Cellular and Molecular Neuroscience 140
- Public Health, Environmental and Occupational Health 99
- Molecular Biology 213
- Genetics 71
Countries citing papers authored by Yulin Zhao
This map shows the geographic impact of Yulin Zhao'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 Yulin Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulin Zhao more than expected).
Fields of papers citing papers by Yulin Zhao
This network shows the impact of papers produced by Yulin Zhao. 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 Yulin Zhao. The network helps show where Yulin Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yulin Zhao, 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 | 2023 | 3 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 28 | |
| 7 | 2021 | 22 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 6 | |
| 10 | 2019 | 17 | |
| 11 | 2018 | 11 | |
| 12 | 2018 | 20 | |
| 13 | 2016 | 10 | |
| 14 | 2015 | 22 | |
| 15 | 2014 | 40 | |
| 16 | 2013 | 15 | |
| 17 | 2013 | 26 | |
| 18 | 2012 | 39 | |
| 19 | 2009 | 16 | |
| 20 | 2006 | 9 |
About Yulin Zhao
Yulin Zhao is a scholar working on Endocrinology, Physiology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 461 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (7 papers), Immune Response and Inflammation (6 papers), Receptor Mechanisms and Signaling (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Aquaculture disease management and microbiota (4 papers), Vibrio bacteria research studies (3 papers) and Cervical and Thoracic Myelopathy (3 papers). The work is most often cited by research in Modeling and Simulation (61 citations), Cellular and Molecular Neuroscience (140 citations) and Public Health, Environmental and Occupational Health (99 citations). Yulin Zhao has collaborated with scholars based in China, United States and Serbia. Frequent co-authors include Zhilan Feng, Robert W. Peoples, Hong Ren, Paul A. Slesinger, Donard S. Dwyer, Ian W. Glaaser, Aimin Li, Jorge X. Velasco‐Hernández, Jun Li and Shimin Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The FASEB Journal.
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.