Na Chen
Impact in
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- Heavy Metal Exposure and Toxicity
- Reproductive Medicine top 10%
- Sperm and Testicular Function
Papers in
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- Advanced biosensing and bioanalysis techniques 7
- Molecular Biology Techniques and Applications 5
- Gene expression and cancer classification 3
- Angiogenesis and VEGF in Cancer 3
- DNA and Nucleic Acid Chemistry 3
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- Heavy Metal Exposure and Toxicity 8
- Co-authors
- Xianjin Xiao (13 shared papers)Mei Wang (4 shared papers)Ping Su (4 shared papers)Hong Li (3 shared papers)Luoqing Li (2 shared papers)Yamin Li (1 shared paper)Na Liu (6 shared papers)Shanshan Wang (2 shared papers)
- Journals
- Analytica Chimica Acta (2 papers)Chemical Communications (2 papers)Analytical Chemistry (2 papers)Ecotoxicology and Environmental Safety (2 papers)Tumor Biology (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Na Chen
27 papers receiving 480 citations
Peers
Comparison fields: 5 of 91
- Health, Toxicology and Mutagenesis 108
- Reproductive Medicine 45
- Cancer Research 61
- Molecular Biology 227
- Nutrition and Dietetics 39
Countries citing papers authored by Na Chen
This map shows the geographic impact of Na 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 Na Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Chen more than expected).
Fields of papers citing papers by Na Chen
This network shows the impact of papers produced by Na 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 Na Chen. The network helps show where Na Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Na 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 70 | |
| 2 | 2018 | 62 | |
| 3 | 2012 | 46 | |
| 4 | 2019 | 43 | |
| 5 | 2021 | 40 | |
| 6 | 2018 | 36 | |
| 7 | 2017 | 23 | |
| 8 | 2016 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2017 | 15 | |
| 11 | 2017 | 14 | |
| 12 | 2015 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 10 | |
| 15 | 2024 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2019 | 7 | |
| 18 | 2021 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2012 | 5 |
About Na Chen
Na Chen is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Cancer Research, Computer Vision and Pattern Recognition and Ecology, having authored 28 papers that have together received 480 indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Cancer Genomics and Diagnostics (6 papers), Molecular Biology Techniques and Applications (5 papers), Gene expression and cancer classification (3 papers), Angiogenesis and VEGF in Cancer (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Image and Signal Denoising Methods (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (108 citations), Reproductive Medicine (45 citations), Cancer Research (61 citations), Molecular Biology (227 citations) and Nutrition and Dietetics (39 citations). Na Chen has collaborated with scholars based in China, United States and India. Frequent co-authors include Xianjin Xiao, Mei Wang, Ping Su, Hong Li, Luoqing Li, Yamin Li, Na Liu, Shanshan Wang, Na Liu and Lin Meng. Their work appears in journals such as Analytica Chimica Acta, Chemical Communications, Analytical Chemistry, Ecotoxicology and Environmental Safety and Tumor Biology.
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.