Tai‐De Li
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Polymers and Plastics top 5%
- Conducting polymers and applications
Papers in
-
- Perovskite Materials and Applications 6
- Organic Electronics and Photovoltaics 4
- Molecular Junctions and Nanostructures 4
- Co-authors
- Elisa Riedo (9 shared papers)Robert Szoszkiewicz (4 shared papers)Daniel A. Fletcher (7 shared papers)Uzi Landman (1 shared paper)Jianping Gao (1 shared paper)Peter Bieling (5 shared papers)R. Dyche Mullins (4 shared papers)Ailey Crow (1 shared paper)
- Journals
- Nano Letters (4 papers)Biophysical Journal (2 papers)Nature (2 papers)Nature Communications (2 papers)Chemistry of Materials (2 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Tai‐De Li
44 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 120
- Cell Biology 368
- Polymers and Plastics 307
- Biomaterials 283
- Electrical and Electronic Engineering 924
- Automotive Engineering 173
Countries citing papers authored by Tai‐De Li
This map shows the geographic impact of Tai‐De Li'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 Tai‐De Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai‐De Li more than expected).
Fields of papers citing papers by Tai‐De Li
This network shows the impact of papers produced by Tai‐De Li. 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 Tai‐De Li. The network helps show where Tai‐De Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Tai‐De Li, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 307 | |
| 2 | 2007 | 279 | |
| 3 | 2010 | 275 | |
| 4 | 2017 | 273 | |
| 5 | 2016 | 193 | |
| 6 | 2021 | 178 | |
| 7 | 2007 | 143 | |
| 8 | 2007 | 110 | |
| 9 | 2008 | 75 | |
| 10 | 2017 | 72 | |
| 11 | 2020 | 72 | |
| 12 | 2017 | 62 | |
| 13 | 2022 | 56 | |
| 14 | 2020 | 47 | |
| 15 | 2016 | 43 | |
| 16 | 2018 | 40 | |
| 17 | 2021 | 38 | |
| 18 | 2021 | 29 | |
| 19 | 2014 | 29 | |
| 20 | 2022 | 23 |
About Tai‐De Li
Tai‐De Li is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Biomaterials, Materials Chemistry and Atomic and Molecular Physics, and Optics, having authored 48 papers that have together received 2.5k indexed citations. Recurring topics across this work include Force Microscopy Techniques and Applications (8 papers), Conducting polymers and applications (6 papers), Supramolecular Self-Assembly in Materials (6 papers), Perovskite Materials and Applications (6 papers), 2D Materials and Applications (5 papers), Organic Electronics and Photovoltaics (4 papers), Cellular Mechanics and Interactions (4 papers) and Molecular Junctions and Nanostructures (4 papers). The work is most often cited by research in Cell Biology (368 citations), Polymers and Plastics (307 citations), Biomaterials (283 citations), Electrical and Electronic Engineering (924 citations) and Automotive Engineering (173 citations). Tai‐De Li has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Elisa Riedo, Robert Szoszkiewicz, Daniel A. Fletcher, Uzi Landman, Jianping Gao, Peter Bieling, R. Dyche Mullins, Ailey Crow, Wilbur A. Lam and Ashley Kita. Their work appears in journals such as Nano Letters, Biophysical Journal, Nature, Nature Communications and Chemistry of Materials.
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.