I‐Ting Teng
- Molecular Biology top 5%
- Advanced biosensing and bioanalysis techniques 20
- RNA Interference and Gene Delivery 14
- DNA and Nucleic Acid Chemistry 6
- Biomaterials top 5%
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics 3
- Materials Chemistry top 10%
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- SARS-CoV-2 and COVID-19 Research 4
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- Respiratory viral infections research 3
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- Virus-based gene therapy research 2
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- Molecular Sensors and Ion Detection 2
- Journals
- Journal of the American Chemical Society (6 papers)ACS Nano (2 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- United StatesChinaNew Zealand
In The Last Decade
I‐Ting Teng
29 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Molecular Biology 1.9k
- Biomaterials 330
- Biomedical Engineering 807
- Cancer Research 137
- Materials Chemistry 414
Countries citing papers authored by I‐Ting Teng
This map shows the geographic impact of I‐Ting Teng'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 I‐Ting Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Ting Teng more than expected).
Fields of papers citing papers by I‐Ting Teng
This network shows the impact of papers produced by I‐Ting Teng. 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 I‐Ting Teng. The network helps show where I‐Ting Teng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside I‐Ting Teng, 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 | 2025 | 2 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 5 | |
| 8 | 2019 | 3 | |
| 9 | 2018 | 40 | |
| 10 | 2018 | 46 | |
| 11 | 2018 | 38 | |
| 12 | 2016 | 80 | |
| 13 | 2016 | 35 | |
| 14 | 2015 | 21 | |
| 15 | 2015 | 115 | |
| 16 | 2015 | 35 | |
| 17 | 2015 | 296 | |
| 18 | 2015 | 103 | |
| 19 | 2013 | 74 | |
| 20 | 2010 | 207 |
About I‐Ting Teng
I‐Ting Teng is a scholar working on Molecular Biology, Infectious Diseases, Animal Science and Zoology, Biophysics and Biomaterials, having authored 29 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (20 papers), RNA Interference and Gene Delivery (14 papers), DNA and Nucleic Acid Chemistry (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Respiratory viral infections research (3 papers), Nanoplatforms for cancer theranostics (3 papers), Virus-based gene therapy research (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Biomaterials (330 citations), Biomedical Engineering (807 citations), Cancer Research (137 citations) and Materials Chemistry (414 citations). I‐Ting Teng has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Weihong Tan, Liqin Zhang, Yuan Liu, Cheng Cui, Sena Cansız, Cuichen Wu, Weijia Hou, Juan Li, Yanyue Wang and Ren Cai. Their work appears in journals such as Journal of the American Chemical Society, ACS Nano, Angewandte Chemie International Edition, PLoS Pathogens and Nanoscale.
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.