Li-Nan Chen
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Receptor Mechanisms and Signaling
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
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- Receptor Mechanisms and Signaling 11
- RNA regulation and disease 2
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- Neuropeptides and Animal Physiology 4
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- Yan Zhang (12 shared papers)Dandan Shen (9 shared papers)Chunyou Mao (7 shared papers)Qingya Shen (6 shared papers)Huibing Zhang (8 shared papers)Zhiyong Yang (1 shared paper)Howard D. Lipshitz (1 shared paper)H. Eric Xu (3 shared papers)
- Journals
- Cell Research (3 papers)Nature Communications (3 papers)Molecular Cell (2 papers)Yeast (1 paper)Phytochemical Analysis (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li-Nan Chen
27 papers receiving 715 citations
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 173
- Molecular Biology 394
- Endocrine and Autonomic Systems 34
- Neurology 37
- Nutrition and Dietetics 54
Countries citing papers authored by Li-Nan Chen
This map shows the geographic impact of Li-Nan Chen'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 Li-Nan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li-Nan Chen more than expected).
Fields of papers citing papers by Li-Nan Chen
This network shows the impact of papers produced by Li-Nan Chen. 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 Li-Nan Chen. The network helps show where Li-Nan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Li-Nan Chen, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 85 | |
| 2 | 2020 | 80 | |
| 3 | 2013 | 74 | |
| 4 | 2021 | 60 | |
| 5 | 2021 | 56 | |
| 6 | 2019 | 53 | |
| 7 | 2013 | 46 | |
| 8 | 2021 | 40 | |
| 9 | 2022 | 36 | |
| 10 | 2015 | 36 | |
| 11 | 2022 | 25 | |
| 12 | 2022 | 25 | |
| 13 | 2024 | 19 | |
| 14 | 2022 | 16 | |
| 15 | 2023 | 15 | |
| 16 | 2023 | 11 | |
| 17 | 2010 | 10 | |
| 18 | 2024 | 8 | |
| 19 | 1994 | 7 | |
| 20 | 2023 | 5 |
About Li-Nan Chen
Li-Nan Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Immunology, having authored 29 papers that have together received 720 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Neuropeptides and Animal Physiology (4 papers), Diabetes Treatment and Management (3 papers), Rice Cultivation and Yield Improvement (2 papers), RNA regulation and disease (2 papers), Irrigation Practices and Water Management (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (173 citations), Molecular Biology (394 citations), Endocrine and Autonomic Systems (34 citations), Neurology (37 citations) and Nutrition and Dietetics (54 citations). Li-Nan Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yan Zhang, Dandan Shen, Chunyou Mao, Qingya Shen, Huibing Zhang, Zhiyong Yang, Howard D. Lipshitz, H. Eric Xu, Najeeb U. Siddiqui and Xiao Li. Their work appears in journals such as Cell Research, Nature Communications, Molecular Cell, Yeast and Phytochemical Analysis.
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.