Pei-Tseng Lee
Impact in
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- Neurobiology and Insect Physiology Research
- Aging top 5%
Papers in
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- Neurobiology and Insect Physiology Research 10
- Axon Guidance and Neuronal Signaling 2
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- CRISPR and Genetic Engineering 3
- Ubiquitin and proteasome pathways 2
- Co-authors
- Hugo J. Bellen (11 shared papers)Sonal Nagarkar-Jaiswal (5 shared papers)Ann‐Shyn Chiang (3 shared papers)Kuchuan Chen (2 shared papers)Mary Gwo-Shu Lee (3 shared papers)Zhongyuan Zuo (3 shared papers)Allan C. Spradling (2 shared papers)Bernd Schimanski (1 shared paper)
- Journals
- eLife (5 papers)Eukaryotic Cell (3 papers)Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Developmental Cell (1 paper)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Pei-Tseng Lee
18 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 757
- Aging 74
- Cell Biology 230
- Molecular Biology 701
- Endocrine and Autonomic Systems 61
Countries citing papers authored by Pei-Tseng Lee
This map shows the geographic impact of Pei-Tseng Lee'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 Pei-Tseng Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei-Tseng Lee more than expected).
Fields of papers citing papers by Pei-Tseng Lee
This network shows the impact of papers produced by Pei-Tseng Lee. 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 Pei-Tseng Lee. The network helps show where Pei-Tseng Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei-Tseng Lee, 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 | 2015 | 280 | |
| 2 | 2003 | 195 | |
| 3 | 2018 | 130 | |
| 4 | 2015 | 123 | |
| 5 | 2015 | 119 | |
| 6 | 2011 | 106 | |
| 7 | 2015 | 103 | |
| 8 | 2013 | 90 | |
| 9 | 2013 | 81 | |
| 10 | 2018 | 50 | |
| 11 | 2018 | 47 | |
| 12 | 2020 | 37 | |
| 13 | 2018 | 34 | |
| 14 | 2018 | 24 | |
| 15 | 2004 | 23 | |
| 16 | 2021 | 15 | |
| 17 | 2022 | 15 | |
| 18 | 2006 | 9 |
About Pei-Tseng Lee
Pei-Tseng Lee is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Epidemiology, Cell Biology and Ecology, Evolution, Behavior and Systematics, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (10 papers), Trypanosoma species research and implications (3 papers), Cellular transport and secretion (3 papers), CRISPR and Genetic Engineering (3 papers), Ubiquitin and proteasome pathways (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Axon Guidance and Neuronal Signaling (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (757 citations), Aging (74 citations), Cell Biology (230 citations), Molecular Biology (701 citations) and Endocrine and Autonomic Systems (61 citations). Pei-Tseng Lee has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Hugo J. Bellen, Sonal Nagarkar-Jaiswal, Ann‐Shyn Chiang, Kuchuan Chen, Mary Gwo-Shu Lee, Zhongyuan Zuo, Allan C. Spradling, Bernd Schimanski, Thomas Bruderer and Huimin Chung. Their work appears in journals such as eLife, Eukaryotic Cell, Cell, Proceedings of the National Academy of Sciences and Developmental Cell.
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.