Lichun Tang
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Innovation and Socioeconomic Development
Papers in
-
- DNA Repair Mechanisms 4
- Ubiquitin and proteasome pathways 4
- CRISPR and Genetic Engineering 3
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
- Co-authors
- Peng Jin (2 shared papers)Pumin Zhang (2 shared papers)Qiang Shu (1 shared paper)Xiaowei Li (1 shared paper)Hui Shen (1 shared paper)Wei‐Hua Wang (1 shared paper)Yunhee Kang (1 shared paper)Jianqiao Liu (1 shared paper)
- Journals
- Molecular Genetics and Genomics (1 paper)Molecular Therapy (1 paper)Human Molecular Genetics (1 paper)Analytica Chimica Acta (1 paper)FEBS Letters (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Lichun Tang
20 papers receiving 643 citations
Peers
Comparison fields: 5 of 86
- Aging 76
- Business and International Management 52
- Cancer Research 132
- Molecular Biology 510
- 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 241 | |
| 2 | 2017 | 139 | |
| 3 | 2014 | 90 | |
| 4 | 2013 | 38 | |
| 5 | 2018 | 21 | |
| 6 | 2015 | 19 | |
| 7 | 2017 | 19 | |
| 8 | 2019 | 16 | |
| 9 | 2013 | 13 | |
| 10 | 2021 | 9 | |
| 11 | 2011 | 9 | |
| 12 | 2018 | 8 | |
| 13 | 2015 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 2012 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2012 | 2 | |
| 19 | 2016 | 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, Aging, Cell Biology, Biomedical Engineering and Genetics, having authored 22 papers that have together received 649 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), DNA Repair Mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), CRISPR and Genetic Engineering (3 papers), Microtubule and mitosis dynamics (3 papers), 3D Printing in Biomedical Research (3 papers), Meteorological Phenomena and Simulations (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Aging (76 citations), Business and International Management (52 citations), Cancer Research (132 citations), Molecular Biology (510 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, Qiang Shu, Xiaowei Li, Hui Shen, Wei‐Hua Wang, Yunhee Kang, Jianqiao Liu, Peng Jin and Liping Li. Their work appears in journals such as Molecular Genetics and Genomics, Molecular Therapy, Human Molecular Genetics, Analytica Chimica Acta and FEBS Letters.
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.