Sen-Lin Lai
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
Papers in
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- Neurobiology and Insect Physiology Research 14
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- Developmental Biology and Gene Regulation 11
- Single-cell and spatial transcriptomics 2
- Co-authors
- Tzumin Lee (5 shared papers)Takeshi Awasaki (2 shared papers)Kei Ito (2 shared papers)Chris Q. Doe (12 shared papers)Minoree Kohwi (1 shared paper)Michael R. Miller (1 shared paper)Wolf Huetteroth (1 shared paper)Scott Waddell (1 shared paper)
- Journals
- eLife (6 papers)Development (3 papers)Developmental Biology (2 papers)Environmental Technology (1 paper)Current Biology (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Sen-Lin Lai
17 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 71
- Aging 107
- Cellular and Molecular Neuroscience 931
- Developmental Neuroscience 79
- Endocrine and Autonomic Systems 76
- Sensory Systems 54
Countries citing papers authored by Sen-Lin Lai
This map shows the geographic impact of Sen-Lin Lai'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 Sen-Lin Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen-Lin Lai more than expected).
Fields of papers citing papers by Sen-Lin Lai
This network shows the impact of papers produced by Sen-Lin Lai. 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 Sen-Lin Lai. The network helps show where Sen-Lin Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen-Lin Lai, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 413 | |
| 2 | 2008 | 258 | |
| 3 | 2008 | 151 | |
| 4 | 2013 | 135 | |
| 5 | 2011 | 99 | |
| 6 | 2014 | 58 | |
| 7 | 2009 | 58 | |
| 8 | 2012 | 34 | |
| 9 | 2021 | 30 | |
| 10 | 2018 | 29 | |
| 11 | 2006 | 20 | |
| 12 | 1999 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2020 | 9 | |
| 15 | 2018 | 7 | |
| 16 | 2001 | 4 | |
| 17 | 2007 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Sen-Lin Lai
Sen-Lin Lai is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (14 papers), Developmental Biology and Gene Regulation (11 papers), Plant Molecular Biology Research (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Animal Behavior and Reproduction (4 papers), Invertebrate Immune Response Mechanisms (2 papers), Single-cell and spatial transcriptomics (2 papers) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Aging (107 citations), Cellular and Molecular Neuroscience (931 citations), Developmental Neuroscience (79 citations), Endocrine and Autonomic Systems (76 citations) and Sensory Systems (54 citations). Sen-Lin Lai has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Tzumin Lee, Takeshi Awasaki, Kei Ito, Chris Q. Doe, Minoree Kohwi, Michael R. Miller, Wolf Huetteroth, Scott Waddell, Christopher J. Burke and Michael J. Krashes. Their work appears in journals such as eLife, Development, Developmental Biology, Environmental Technology and Current Biology.
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.