Linus S. Lin

1.8k citations
20 papers · 401 · h-index 13

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Chemical Synthesis and Analysis 4
    • Pharmacological Receptor Mechanisms and Effects 3
    • Neuropeptides and Animal Physiology 5
    • Neurotransmitter Receptor Influence on Behavior 3

Linus S. Lin

20 papers receiving 391 citations

Peers

Linus S. Lin
Comparison fields: 5 of 73
  • Organic Chemistry 189
  • Immunology and Allergy 30
  • Cellular and Molecular Neuroscience 82
  • Pharmacology 68
  • Pharmacology 33
Replace Elena Guaita with:
Elena Guaita Italy
Lilia Weizel Germany
S. Skerratt United Kingdom
Kuniaki Kawamura Japan
Marie-Noëlle Dufour France
Lone Nielsen Denmark
Frank I. Carroll United States
Huiqiang Zhou United States
Bernard R. Neustadt United States
Robin J. Breckenridge United Kingdom
Linus S. Lin relative to Elena Guaita Italy Elena Guaita's profile →
Citations per field
00.5×1.5×1.9×
Elena Guaita · 1×
Citations per year

Countries citing papers authored by Linus S. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Linus S. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200666
2 200353
3 200037
4 200832
5 200124
6 201023
7 200216
8 200316
9 200716
10 200815
11 200415
12 200215
13 200414
14 201012
15 200611
16 200910
17 201110
18 20097
19 20106
20 20043

About Linus S. Lin

Linus S. Lin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Organic Chemistry, Pharmacology and Surgery, having authored 20 papers that have together received 401 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (5 papers), Cannabis and Cannabinoid Research (5 papers), Receptor Mechanisms and Signaling (4 papers), Chemical Synthesis and Analysis (4 papers), Catalytic Cross-Coupling Reactions (4 papers), Cell Adhesion Molecules Research (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). The work is most often cited by research in Organic Chemistry (189 citations), Immunology and Allergy (30 citations), Cellular and Molecular Neuroscience (82 citations), Pharmacology (68 citations) and Pharmacology (33 citations). Linus S. Lin has collaborated with scholars based in United States and Australia. Frequent co-authors include William K. Hagmann, Harry R. Chobanian, Thomas J. Lanza, Brett P. Fors, Theodore M. Kamenecka, James P. Jewell, Tung M. Fong, Chun-Pyn Shen, Jing Chen Xiao and Quang Truong. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Molecular Imaging and Biology, American Journal of Physiology-Endocrinology and Metabolism and Journal of Mass Spectrometry.

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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