Niya Wang
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Analytical Chemistry top 5%
- Analytical chemistry methods development
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- Single-cell and spatial transcriptomics 2
-
- Alzheimer's disease research and treatments 6
- Co-authors
- Loong‐Tak Lim (2 shared papers)Jinhua Du (2 shared papers)Qingyun Cai (5 shared papers)Jiezhen Li (4 shared papers)Trần Thị Thanh Thủy (4 shared papers)Lijuan Yuan (4 shared papers)Jin Cai (2 shared papers)Liping Zhou (4 shared papers)
- Journals
- Scientific Reports (4 papers)Journal of Agricultural and Food Chemistry (2 papers)LWT (2 papers)Bioinformatics (2 papers)The Analyst (2 papers)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Niya Wang
33 papers receiving 906 citations
Peers
Comparison fields: 5 of 103
- Biochemistry 83
- Analytical Chemistry 116
- Environmental Chemistry 115
- Bioengineering 41
- Food Science 117
Countries citing papers authored by Niya Wang
This map shows the geographic impact of Niya Wang'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 Niya Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niya Wang more than expected).
Fields of papers citing papers by Niya Wang
This network shows the impact of papers produced by Niya Wang. 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 Niya Wang. The network helps show where Niya Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Niya Wang, 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 | 2008 | 108 | |
| 2 | 2013 | 107 | |
| 3 | 2012 | 87 | |
| 4 | 2020 | 86 | |
| 5 | 2014 | 78 | |
| 6 | 2013 | 78 | |
| 7 | 2006 | 54 | |
| 8 | 2011 | 51 | |
| 9 | 2013 | 45 | |
| 10 | 2016 | 42 | |
| 11 | 2014 | 41 | |
| 12 | 2013 | 24 | |
| 13 | 2024 | 15 | |
| 14 | 2020 | 14 | |
| 15 | 2014 | 13 | |
| 16 | 2013 | 13 | |
| 17 | 2013 | 11 | |
| 18 | 2010 | 10 | |
| 19 | 2016 | 8 | |
| 20 | 2016 | 7 |
About Niya Wang
Niya Wang is a scholar working on Molecular Biology, Physiology, Analytical Chemistry, Neurology and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 930 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (6 papers), Analytical chemistry methods development (4 papers), Neurological Disease Mechanisms and Treatments (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Robotic Path Planning Algorithms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Biochemistry (83 citations), Analytical Chemistry (116 citations), Environmental Chemistry (115 citations), Bioengineering (41 citations) and Food Science (117 citations). Niya Wang has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Loong‐Tak Lim, Jinhua Du, Qingyun Cai, Jiezhen Li, Trần Thị Thanh Thủy, Lijuan Yuan, Jin Cai, Liping Zhou, Hui Feng and Robert Clarke. Their work appears in journals such as Scientific Reports, Journal of Agricultural and Food Chemistry, LWT, Bioinformatics and The Analyst.
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.