Hsuan-Wen Lin

466 citations
9 papers · 323 indexed · h-index 6
Topics
Neurobiology and Insect Physiology Research (9 papers)Plant biochemistry and biosynthesis (3 papers)Animal Behavior and Reproduction (2 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Hsuan-Wen Lin

9 papers receiving 319 citations

Peers

Hsuan-Wen Lin
Comparison fields: 5 of 47
  • Cellular and Molecular Neuroscience 270
  • Genetics 108
  • Molecular Biology 82
  • Ecology, Evolution, Behavior and Systematics 74
  • Insect Science 55
Replace Gerit Arne Linneweber with:
Gerit Arne Linneweber Germany
Amanda Cavallaro United States
Atefeh Pooryasin Germany
Anton Miroschnikow Germany
Carla Margulies United States
Chang-Hui Tsao Taiwan
Andreas Schoofs Germany
Sebastian Hückesfeld Germany
Aaron M. Allen Canada
Magali Iché-Torres France
Hsuan-Wen Lin relative to Gerit Arne Linneweber Germany Gerit Arne Linneweber's profile →
Citations per field
00.5×1.5×2.4×
Gerit Arne Linneweber · 1×
Citations per year

Countries citing papers authored by Hsuan-Wen Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hsuan-Wen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsuan-Wen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hsuan-Wen Lin. A scholar is included among the top collaborators of Hsuan-Wen Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hsuan-Wen Lin. Hsuan-Wen Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 1
3 7
4 17
5 9
6 123
7 61
8 103
9 1

About Hsuan-Wen Lin

Hsuan-Wen Lin is a scholar working on Aging, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems, having authored 9 papers that have together received 323 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (9 papers), Plant biochemistry and biosynthesis (3 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Aging (28 citations), Cellular and Molecular Neuroscience (270 citations) and Endocrine and Autonomic Systems (39 citations). Hsuan-Wen Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ann‐Shyn Chiang, Tsai‐Feng Fu, Chun‐Chao Chen, Tim Tully, Chia‐Lin Wu, Pei-Tseng Lee, Josh Dubnau, Yu‐Hsuan Chang, Tzumin Lee and Jay Hirsh. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of 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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