Nian Chen
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
Papers in
-
- COVID-19 Clinical Research Studies 4
- Viral Infections and Vectors 2
-
- Photodynamic Therapy Research Studies 4
- Co-authors
- Aihua Yao (2 shared papers)Xuehao Wang (2 shared papers)Mark R. Bowles (3 shared papers)Liyong Pu (2 shared papers)Susan M. Pond (3 shared papers)Beicheng Sun (2 shared papers)Yaping Han (3 shared papers)Yue Yu (1 shared paper)
- Journals
- Photodiagnosis and Photodynamic Therapy (5 papers)Biochemical Pharmacology (2 papers)Journal of Imaging Informatics in Medicine (1 paper)American Journal of Clinical Pathology (1 paper)Synlett (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Nian Chen
32 papers receiving 415 citations
Peers
Comparison fields: 5 of 62
- Genetics 88
- Microbiology 7
- Infectious Diseases 105
- Hepatology 36
- General Dentistry 1
Countries citing papers authored by Nian Chen
This map shows the geographic impact of Nian 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 Nian Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nian Chen more than expected).
Fields of papers citing papers by Nian Chen
This network shows the impact of papers produced by Nian 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 Nian Chen. The network helps show where Nian Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Nian 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 83 | |
| 2 | 2021 | 54 | |
| 3 | 2009 | 52 | |
| 4 | 2013 | 41 | |
| 5 | 2021 | 37 | |
| 6 | 2022 | 23 | |
| 7 | 1994 | 19 | |
| 8 | 1992 | 15 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 1993 | 9 | |
| 12 | 2019 | 8 | |
| 13 | 2011 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2020 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2022 | 6 | |
| 18 | 2013 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2023 | 5 |
About Nian Chen
Nian Chen is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Epidemiology, Genetics and Surgery, having authored 35 papers that have together received 435 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Photodynamic Therapy Research Studies (4 papers), Cervical Cancer and HPV Research (2 papers), Mesenchymal stem cell research (2 papers), Genital Health and Disease (2 papers), Paraquat toxicity studies and treatments (2 papers), Liver physiology and pathology (2 papers) and Viral Infections and Vectors (2 papers). The work is most often cited by research in Genetics (88 citations), Microbiology (7 citations), Infectious Diseases (105 citations), Hepatology (36 citations) and General Dentistry (1 citation). Nian Chen has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Aihua Yao, Xuehao Wang, Mark R. Bowles, Liyong Pu, Susan M. Pond, Beicheng Sun, Yaping Han, Yue Yu, Ye Fan and Guoqiang Li. Their work appears in journals such as Photodiagnosis and Photodynamic Therapy, Biochemical Pharmacology, Journal of Imaging Informatics in Medicine, American Journal of Clinical Pathology and Synlett.
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.