Anna A. Tang
Impact in
- Bioengineering top 10%
- Analytical Chemistry and Sensors
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- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Advanced biosensing and bioanalysis techniques 5
- Glycosylation and Glycoproteins Research 4
- Advanced Biosensing Techniques and Applications 4
- Ubiquitin and proteasome pathways 3
- Protein purification and stability 2
-
- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Darren C. Tomlinson (15 shared papers)Michael J. McPherson (11 shared papers)Christian Tiede (10 shared papers)Sarah E. Deacon (2 shared papers)Suja E. George (2 shared papers)D. Nowak (1 shared paper)A. G. Davies (1 shared paper)Rajan Sharma (1 shared paper)
- Journals
- Science Signaling (2 papers)iScience (1 paper)Cell Reports (1 paper)ACS Sensors (1 paper)BioTechniques (1 paper)
- Partner nations
- United KingdomSouth KoreaAustralia
In The Last Decade
Anna A. Tang
16 papers receiving 444 citations
Peers
Comparison fields: 5 of 70
- Bioengineering 35
- Radiology, Nuclear Medicine and Imaging 112
- Molecular Biology 322
- Structural Biology 6
- Electrochemistry 19
Countries citing papers authored by Anna A. Tang
This map shows the geographic impact of Anna A. 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 Anna A. Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna A. Tang more than expected).
Fields of papers citing papers by Anna A. Tang
This network shows the impact of papers produced by Anna A. 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 Anna A. Tang. The network helps show where Anna A. Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna A. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 118 | |
| 2 | 2016 | 117 | |
| 3 | 2017 | 37 | |
| 4 | 2015 | 36 | |
| 5 | 2017 | 24 | |
| 6 | 2002 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2017 | 20 | |
| 9 | 2018 | 19 | |
| 10 | 2019 | 12 | |
| 11 | 2020 | 7 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2024 | 2 | |
| 16 | 2024 | 2 |
About Anna A. Tang
Anna A. Tang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 448 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Advanced biosensing and bioanalysis techniques (5 papers), Glycosylation and Glycoproteins Research (4 papers), Advanced Biosensing Techniques and Applications (4 papers), Ubiquitin and proteasome pathways (3 papers), Peptidase Inhibition and Analysis (3 papers), Protein purification and stability (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Bioengineering (35 citations), Radiology, Nuclear Medicine and Imaging (112 citations), Molecular Biology (322 citations), Structural Biology (6 citations) and Electrochemistry (19 citations). Anna A. Tang has collaborated with scholars based in United Kingdom, South Korea and Australia. Frequent co-authors include Darren C. Tomlinson, Michael J. McPherson, Christian Tiede, Sarah E. Deacon, Suja E. George, D. Nowak, A. G. Davies, Rajan Sharma, Christoph Wälti and Raymond J. Owens. Their work appears in journals such as Science Signaling, iScience, Cell Reports, ACS Sensors and BioTechniques.
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.