Cailu Lin

2.1k citations
34 papers · 841 · h-index 12

Impact in

Papers in

Cailu Lin

33 papers receiving 823 citations

Peers

Cailu Lin
Comparison fields: 5 of 91
  • Sensory Systems 393
  • Nutrition and Dietetics 387
  • Endocrine and Autonomic Systems 52
  • Reproductive Medicine 63
  • Biomedical Engineering 285
Replace Makoto Asakawa with:
Makoto Asakawa Japan
Yu‐Ming Chang United States
Marco Tizzano United States
Sunil K. Sukumaran United States
Kazuyuki Ono Japan
Shujiro Minami Japan
Brunhilde Illgen-Wilcke Switzerland
Bong Jik Kim South Korea
Madlaina Boillat Switzerland
Yuki Satoh Japan
Cailu Lin relative to Makoto Asakawa Japan Makoto Asakawa's profile →
Citations per field
00.5×10×15×17.8×
Makoto Asakawa · 1×
Citations per year

Countries citing papers authored by Cailu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Cailu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014148
2 2020130
3 202087
4 201168
5 201964
6 200553
7 202048
8 201841
9 200538
10 200625
11 201316
12 202014
13 201811
14 202411
15 200610
16 20219
17 20239
18 20207
19 20207
20 20246

About Cailu Lin

Cailu Lin is a scholar working on Nutrition and Dietetics, Sensory Systems, Biomedical Engineering, Genetics and Physiology, having authored 34 papers that have together received 841 indexed citations. Recurring topics across this work include Biochemical Analysis and Sensing Techniques (18 papers), Olfactory and Sensory Function Studies (16 papers), Advanced Chemical Sensor Technologies (12 papers), Genetic and phenotypic traits in livestock (7 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Asthma and respiratory diseases (4 papers), IL-33, ST2, and ILC Pathways (3 papers) and Sperm and Testicular Function (3 papers). The work is most often cited by research in Sensory Systems (393 citations), Nutrition and Dietetics (387 citations), Endocrine and Autonomic Systems (52 citations), Reproductive Medicine (63 citations) and Biomedical Engineering (285 citations). Cailu Lin has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Danielle R. Reed, Alexander A. Bachmanov, Natalia P. Bosak, Paule V. Joseph, Vicente A Ramirez, Riley D Herriman, Mackenzie E. Hannum, Theodore M. Nelson, K. Schellander and Ernst Tholen. Their work appears in journals such as Chemical Senses, International Forum of Allergy & Rhinology, PLoS ONE, Mammalian Genome and iScience.

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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