Yan Jun Tang
Impact in
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- Inflammasome and immune disorders
- Plant Gene Expression Analysis
- Plant Science top 10%
- Plant Stress Responses and Tolerance
- Plant Molecular Biology Research
Papers in
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- Inflammasome and immune disorders 5
- Co-authors
- Jinyin Lv (7 shared papers)Zhenxia Du (13 shared papers)Chunju Zhou (4 shared papers)Sally Zierler (1 shared paper)Nancy R Krieger (1 shared paper)Elaine C. Siegfried (1 shared paper)Jianwei Yin (10 shared papers)Lixin Zhang (2 shared papers)
- Journals
- International Journal of Molecular Sciences (4 papers)Plant Physiology and Biochemistry (3 papers)IEEE Transactions on Computers (3 papers)Molecular Biology Reports (3 papers)Food Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yan Jun Tang
115 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 158
- Molecular Biology 458
- Plant Science 230
- Analytical Chemistry 59
- Immunology 116
- Pollution 56
Countries citing papers authored by Yan Jun Tang
This map shows the geographic impact of Yan Jun Tang'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 Yan Jun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Jun Tang more than expected).
Fields of papers citing papers by Yan Jun Tang
This network shows the impact of papers produced by Yan Jun Tang. 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 Yan Jun Tang. The network helps show where Yan Jun Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Jun Tang, 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 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 119 | |
| 2 | 2000 | 107 | |
| 3 | 2021 | 61 | |
| 4 | 2022 | 60 | |
| 5 | 2020 | 57 | |
| 6 | 2020 | 55 | |
| 7 | 2024 | 50 | |
| 8 | 2016 | 49 | |
| 9 | 2019 | 49 | |
| 10 | 2019 | 41 | |
| 11 | 2023 | 38 | |
| 12 | 2023 | 36 | |
| 13 | 2019 | 34 | |
| 14 | 2019 | 32 | |
| 15 | 2018 | 31 | |
| 16 | 2023 | 27 | |
| 17 | 2021 | 27 | |
| 18 | 2016 | 24 | |
| 19 | 2022 | 22 | |
| 20 | 2020 | 21 |
About Yan Jun Tang
Yan Jun Tang is a scholar working on Molecular Biology, Plant Science, Immunology, Computer Networks and Communications and Information Systems, having authored 130 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (7 papers), Caching and Content Delivery (7 papers), Mass Spectrometry Techniques and Applications (6 papers), Cloud Data Security Solutions (5 papers), Inflammasome and immune disorders (5 papers), Neurobiology and Insect Physiology Research (5 papers), Analytical Chemistry and Chromatography (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Molecular Biology (458 citations), Plant Science (230 citations), Analytical Chemistry (59 citations), Immunology (116 citations) and Pollution (56 citations). Yan Jun Tang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jinyin Lv, Zhenxia Du, Chunju Zhou, Sally Zierler, Nancy R Krieger, Elaine C. Siegfried, Jianwei Yin, Lixin Zhang, Judith D. Auerbach and Xiaorui Li. Their work appears in journals such as International Journal of Molecular Sciences, Plant Physiology and Biochemistry, IEEE Transactions on Computers, Molecular Biology Reports and Food Chemistry.
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.