An‐Na Tang
Impact in
- Analytical Chemistry top 0.5%
- Analytical chemistry methods development
- Electrochemistry top 2%
Papers in
-
- Analytical chemistry methods development 12
- Spectroscopy 17
- Analytical Chemistry and Chromatography 14
- Co-authors
- De-Ming Kong (53 shared papers)Dongxia Wang (17 shared papers)Yichen Du (13 shared papers)Jing Wang (15 shared papers)Guosheng Ding (15 shared papers)Yunxi Cui (14 shared papers)Yaxin Wang (8 shared papers)Xiu‐Ping Yan (4 shared papers)
- Journals
- Talanta (8 papers)Analytical Chemistry (7 papers)ACS Applied Materials & Interfaces (5 papers)Journal of Chromatography A (4 papers)Chemical Communications (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
An‐Na Tang
83 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 106
- Analytical Chemistry 459
- Electrochemistry 225
- Inorganic Chemistry 339
- Molecular Biology 1.2k
- Biomedical Engineering 801
Countries citing papers authored by An‐Na Tang
This map shows the geographic impact of An‐Na Tang'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 An‐Na Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites An‐Na Tang more than expected).
Fields of papers citing papers by An‐Na Tang
This network shows the impact of papers produced by An‐Na Tang. 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 An‐Na Tang. The network helps show where An‐Na Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside An‐Na Tang, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 141 | |
| 2 | 2021 | 124 | |
| 3 | 2016 | 101 | |
| 4 | 2014 | 88 | |
| 5 | 2020 | 85 | |
| 6 | 2004 | 84 | |
| 7 | 2020 | 84 | |
| 8 | 2018 | 83 | |
| 9 | 2018 | 74 | |
| 10 | 2011 | 71 | |
| 11 | 2022 | 71 | |
| 12 | 2020 | 67 | |
| 13 | 2004 | 66 | |
| 14 | 2022 | 65 | |
| 15 | 2019 | 64 | |
| 16 | 2015 | 59 | |
| 17 | 2005 | 58 | |
| 18 | 2019 | 57 | |
| 19 | 2020 | 55 | |
| 20 | 2018 | 52 |
About An‐Na Tang
An‐Na Tang is a scholar working on Analytical Chemistry, Spectroscopy, Inorganic Chemistry, Biomedical Engineering and Molecular Biology, having authored 85 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (33 papers), Covalent Organic Framework Applications (16 papers), Metal-Organic Frameworks: Synthesis and Applications (14 papers), Analytical Chemistry and Chromatography (14 papers), Microfluidic and Capillary Electrophoresis Applications (14 papers), DNA and Nucleic Acid Chemistry (14 papers), Analytical chemistry methods development (12 papers) and RNA Interference and Gene Delivery (10 papers). The work is most often cited by research in Analytical Chemistry (459 citations), Electrochemistry (225 citations), Inorganic Chemistry (339 citations), Molecular Biology (1.2k citations) and Biomedical Engineering (801 citations). An‐Na Tang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include De-Ming Kong, Dongxia Wang, Yichen Du, Jing Wang, Guosheng Ding, Yunxi Cui, Yaxin Wang, Xiu‐Ping Yan, Jiayi Ma and Hongxin Jiang. Their work appears in journals such as Talanta, Analytical Chemistry, ACS Applied Materials & Interfaces, Journal of Chromatography A and Chemical 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.