Lichun Tang
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Innovation and Socioeconomic Development
Papers in
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- DNA Repair Mechanisms 4
- Ubiquitin and proteasome pathways 4
- CRISPR and Genetic Engineering 3
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- Microtubule and mitosis dynamics 3
- Co-authors
- Peng Jin (2 shared papers)Pumin Zhang (2 shared papers)Ziyi Li (1 shared paper)Deng Chen (1 shared paper)Hui Shen (1 shared paper)Yunhee Kang (1 shared paper)Xiaowei Li (1 shared paper)Pumin Zhang (6 shared papers)
- Journals
- Nature Communications (1 paper)Biochemical and Biophysical Research Communications (1 paper)Biosensors and Bioelectronics (1 paper)Human Molecular Genetics (1 paper)Cell Cycle (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Lichun Tang
20 papers receiving 654 citations
Peers
Comparison fields: 5 of 88
- Aging 75
- Business and International Management 47
- Cancer Research 117
- Molecular Biology 496
- Endocrine and Autonomic Systems 20
Countries citing papers authored by Lichun Tang
This map shows the geographic impact of Lichun 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 Lichun Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichun Tang more than expected).
Fields of papers citing papers by Lichun Tang
This network shows the impact of papers produced by Lichun 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 Lichun Tang. The network helps show where Lichun Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lichun 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 244 | |
| 2 | 2017 | 140 | |
| 3 | 2014 | 89 | |
| 4 | 2013 | 38 | |
| 5 | 2018 | 24 | |
| 6 | 2017 | 19 | |
| 7 | 2015 | 19 | |
| 8 | 2019 | 16 | |
| 9 | 2013 | 13 | |
| 10 | 2011 | 9 | |
| 11 | 2021 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2015 | 7 | |
| 14 | 2021 | 6 | |
| 15 | 2012 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2016 | 4 | |
| 18 | 2016 | 3 | |
| 19 | 2012 | 2 | |
| 20 | Determination of 1-naphthalenamine and 2-naphthalenamine in textiles by single ion monitoring method | 2003 | 1 |
About Lichun Tang
Lichun Tang is a scholar working on Molecular Biology, Cell Biology, Aging, Biomedical Engineering and Atmospheric Science, having authored 23 papers that have together received 660 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Microtubule and mitosis dynamics (3 papers), Tropical and Extratropical Cyclones Research (3 papers), 3D Printing in Biomedical Research (3 papers), CRISPR and Genetic Engineering (3 papers) and Climate variability and models (2 papers). The work is most often cited by research in Aging (75 citations), Business and International Management (47 citations), Cancer Research (117 citations), Molecular Biology (496 citations) and Endocrine and Autonomic Systems (20 citations). Lichun Tang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Peng Jin, Pumin Zhang, Ziyi Li, Deng Chen, Hui Shen, Yunhee Kang, Xiaowei Li, Pumin Zhang, Chunyue Feng and Peng Jin. Their work appears in journals such as Nature Communications, Biochemical and Biophysical Research Communications, Biosensors and Bioelectronics, Human Molecular Genetics and Cell Cycle.
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.