Sen-Lin Lai

2.1k citations
20 papers · 1.3k · h-index 12

Impact in

Papers in

Sen-Lin Lai

16 papers receiving 1.3k citations

Peers

Sen-Lin Lai
Comparison fields: 5 of 68
  • Aging 99
  • Cellular and Molecular Neuroscience 894
  • Developmental Neuroscience 74
  • Endocrine and Autonomic Systems 73
  • Sensory Systems 52
Replace Tanja A. Godenschwege with:
Tanja A. Godenschwege United States
Marion Silies Germany
Arzu Çelik Türkiye
Thomas O. Auer Switzerland
Thomas Hummel Austria
Steven Robinow United States
Yves Grau France
David J. Luginbuhl United States
Suewei Lin Taiwan
Sen-Lin Lai relative to Tanja A. Godenschwege United States Tanja A. Godenschwege's profile →
Citations per field
00.5×1.5×
Tanja A. Godenschwege · 1×
Citations per year

Countries citing papers authored by Sen-Lin Lai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sen-Lin Lai Line = papers co-authored together Sen-Lin Lai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2006382
2 2008255
3 2008151
4 2013129
5 201198
6 200957
7 201456
8 201233
9 202130
10 201828
11 200618
12 202211
13 199910
14 20209
15 20187
16 20013
17 20250
18 20250
19 20250
20 20250

About Sen-Lin Lai

Sen-Lin Lai is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Plant Science, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Developmental Biology and Gene Regulation (11 papers), Plant Molecular Biology Research (5 papers), Insect and Arachnid Ecology and Behavior (3 papers), Animal Behavior and Reproduction (3 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 (99 citations), Cellular and Molecular Neuroscience (894 citations), Developmental Neuroscience (74 citations), Endocrine and Autonomic Systems (73 citations) and Sensory Systems (52 citations). Sen-Lin Lai has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Tzumin Lee, Kei Ito, Takeshi Awasaki, Chris Q. Doe, Michael R. Miller, Minoree Kohwi, Christopher J. Burke, Wolf Huetteroth, Michael J. Krashes and Scott Waddell. Their work appears in journals such as eLife, Development, Developmental Biology, Journal of Neurochemistry 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.

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