Jun Lin
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
- Pathology and Forensic Medicine top 10%
- Tea Polyphenols and Effects
Papers in
-
- Protein purification and stability 5
- Metabolomics and Mass Spectrometry Studies 3
-
- Tea Polyphenols and Effects 5
- Co-authors
- Wendi Fang (1 shared paper)Derek C. G. Muir (1 shared paper)Xiaowei Zhang (1 shared paper)Ying Peng (1 shared paper)Xiaomin Yu (7 shared papers)Zhenbiao Yang (4 shared papers)Ying Shi (2 shared papers)Si Chen (3 shared papers)
- Journals
- Molecules (3 papers)Cancer Research (2 papers)ACS Applied Materials & Interfaces (2 papers)Journal of Chromatography B (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jun Lin
42 papers receiving 974 citations
Peers
Comparison fields: 5 of 121
- Biochemistry 76
- Pathology and Forensic Medicine 177
- Pollution 119
- Food Science 144
- Health, Toxicology and Mutagenesis 101
Countries citing papers authored by Jun Lin
This map shows the geographic impact of Jun 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 Jun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lin more than expected).
Fields of papers citing papers by Jun Lin
This network shows the impact of papers produced by Jun 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 Jun Lin. The network helps show where Jun Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 143 | |
| 2 | 2020 | 126 | |
| 3 | 2018 | 98 | |
| 4 | 2014 | 77 | |
| 5 | 2020 | 54 | |
| 6 | 2012 | 44 | |
| 7 | 2017 | 43 | |
| 8 | 2011 | 40 | |
| 9 | 2018 | 39 | |
| 10 | 2016 | 34 | |
| 11 | 2019 | 30 | |
| 12 | 2019 | 29 | |
| 13 | 2018 | 29 | |
| 14 | 2022 | 21 | |
| 15 | 2012 | 20 | |
| 16 | 2006 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2022 | 15 | |
| 19 | 2023 | 13 | |
| 20 | 2023 | 13 |
About Jun Lin
Jun Lin is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Electronic, Optical and Magnetic Materials and Materials Chemistry, having authored 44 papers that have together received 983 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), ZnO doping and properties (6 papers), Ga2O3 and related materials (6 papers), Protein purification and stability (5 papers), Tea Polyphenols and Effects (5 papers), Coral and Marine Ecosystems Studies (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Marine and fisheries research (3 papers). The work is most often cited by research in Biochemistry (76 citations), Pathology and Forensic Medicine (177 citations), Pollution (119 citations), Food Science (144 citations) and Health, Toxicology and Mutagenesis (101 citations). Jun Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wendi Fang, Derek C. G. Muir, Xiaowei Zhang, Ying Peng, Xiaomin Yu, Zhenbiao Yang, Ying Shi, Si Chen, Xiaoxia Wang and Qichang Hu. Their work appears in journals such as Molecules, Cancer Research, ACS Applied Materials & Interfaces, Journal of Chromatography B and Nature Communications.
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.