Na Yang
Impact in
- Geriatrics and Gerontology top 10%
- Pharmaceutical Science top 10%
- Advanced Drug Delivery Systems
Papers in
-
- FOXO transcription factor regulation 2
- Epidemiology 10
- Hepatitis B Virus Studies 6
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Gaoqing Yuan (4 shared papers)Min Yan (5 shared papers)Dayu Liu (4 shared papers)Quentin Liu (3 shared papers)Zihan Lin (1 shared paper)Kaihong Zeng (3 shared papers)Jian Ming (3 shared papers)Yi Song (3 shared papers)
- Journals
- Cellular Physiology and Biochemistry (2 papers)eLife (2 papers)Frontiers in Pharmacology (2 papers)The Journal of Organic Chemistry (2 papers)Electrochemistry Communications (2 papers)
- Partner nations
- ChinaGreeceUnited States
In The Last Decade
Na Yang
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 114
- Geriatrics and Gerontology 36
- Pharmaceutical Science 55
- Process Chemistry and Technology 26
- Catalysis 50
- Molecular Medicine 34
Countries citing papers authored by Na Yang
This map shows the geographic impact of Na Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Yang more than expected).
Fields of papers citing papers by Na Yang
This network shows the impact of papers produced by Na Yang. 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 Yang. The network helps show where Na Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Yang, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 93 | |
| 2 | 2017 | 84 | |
| 3 | 2017 | 77 | |
| 4 | 2016 | 67 | |
| 5 | 2014 | 59 | |
| 6 | 2014 | 58 | |
| 7 | 2021 | 54 | |
| 8 | 2013 | 52 | |
| 9 | 2018 | 52 | |
| 10 | 2019 | 47 | |
| 11 | 2015 | 45 | |
| 12 | 2016 | 43 | |
| 13 | 2019 | 36 | |
| 14 | 2014 | 28 | |
| 15 | 2019 | 26 | |
| 16 | 2021 | 26 | |
| 17 | 2023 | 25 | |
| 18 | 2016 | 22 | |
| 19 | 2015 | 22 | |
| 20 | 2018 | 18 |
About Na Yang
Na Yang is a scholar working on Molecular Biology, Epidemiology, Hepatology, Cancer Research and Biomedical Engineering, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), 3D Printing in Biomedical Research (3 papers), Microtubule and mitosis dynamics (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and FOXO transcription factor regulation (2 papers). The work is most often cited by research in Geriatrics and Gerontology (36 citations), Pharmaceutical Science (55 citations), Process Chemistry and Technology (26 citations), Catalysis (50 citations) and Molecular Medicine (34 citations). Na Yang has collaborated with scholars based in China, Greece and United States. Frequent co-authors include Gaoqing Yuan, Min Yan, Dayu Liu, Quentin Liu, Zihan Lin, Kaihong Zeng, Jian Ming, Yi Song, Qiang Ma and Yongtao Yang. Their work appears in journals such as Cellular Physiology and Biochemistry, eLife, Frontiers in Pharmacology, The Journal of Organic Chemistry and Electrochemistry Communications.
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.