Suewei Lin

27 papers receiving 1.4k citations

Peers

Suewei Lin
Comparison fields: 5 of 60
  • Cellular and Molecular Neuroscience 1.1k
  • Aging 92
  • Insect Science 230
  • Endocrine and Autonomic Systems 115
  • Genetics 470
Replace Chung-Hui Yang with:
Chung-Hui Yang United States
Marion Silies Germany
Haojiang Luan United States
Pierre-Yves Plaçais France
Keita Endo Japan
Yufeng Pan China
Tanja A. Godenschwege United States
Thomas Riemensperger Germany
Carol M. Singh United States
Sarah J. Certel United States
Suewei Lin relative to Chung-Hui Yang United States Chung-Hui Yang's profile →
Citations per field
00.5×1.5×
Chung-Hui Yang · 1×
Citations per year

Countries citing papers authored by Suewei Lin

Since Specialization
Citations

This map shows the geographic impact of Suewei Lin'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 Suewei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suewei Lin more than expected).

Fields of papers citing papers by Suewei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suewei Lin. 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 Suewei Lin. The network helps show where Suewei Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Suewei Lin, 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 Suewei Lin Line = papers co-authored together Suewei Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006189
2 2015167
3 2014164
4 2018125
5 201796
6 201386
7 201983
8 201959
9 200958
10 201255
11 201554
12 200942
13 200740
14 201137
15 201333
16 201628
17 200620
18 200915
19 20247
20 20237

About Suewei Lin

Suewei Lin is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Plant Science and Insect Science, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (24 papers), Insect and Arachnid Ecology and Behavior (7 papers), Plant Molecular Biology Research (7 papers), Insect Utilization and Effects (6 papers), Developmental Biology and Gene Regulation (5 papers), Animal Behavior and Reproduction (5 papers), Physiological and biochemical adaptations (3 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Aging (92 citations), Insect Science (230 citations), Endocrine and Autonomic Systems (115 citations) and Genetics (470 citations). Suewei Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Scott Waddell, Tzumin Lee, Wolf Huetteroth, Chang-Hui Tsao, Chih-Fei Kao, David Owald, Emmanuel Perisse, Takeshi Awasaki, Sijun Zhu and Ann‐Shyn Chiang. Their work appears in journals such as Cold Spring Harbor Protocols, Development, Current Biology, Proceedings of the National Academy of Sciences and Nature Neuroscience.

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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