Therese Ku

553 citations
18 papers · 419 · h-index 13

Impact in

Papers in

    • Receptor Mechanisms and Signaling 6
    • Biochemical and Molecular Research 4
    • Pharmacological Receptor Mechanisms and Effects 2
    • Neurotransmitter Receptor Influence on Behavior 5
    • Neuroscience and Neuropharmacology Research 3

Therese Ku

18 papers receiving 414 citations

Peers

Therese Ku
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 83
  • Pharmacology 72
  • Pulmonary and Respiratory Medicine 86
  • Biological Psychiatry 6
  • Virology 10
Replace Hiroki Iwashita with:
Hiroki Iwashita Japan
Jill Mwenifumbo Canada
Michał Załuski Poland
Peter Axerio-Cilies Canada
Sébastien Dilly Belgium
Melanie A Rehder Silinski United States
Catherine W. Goh Singapore
Zhenting Huang China
Yueming Xu China
Leonardo Tadeu S. Rocha Brazil
Therese Ku relative to Hiroki Iwashita Japan Hiroki Iwashita's profile →
Citations per field
00.5×1.5×1.8×
Hiroki Iwashita · 1×
Citations per year

Countries citing papers authored by Therese Ku

Since Specialization
Citations

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

Fields of papers citing papers by Therese Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011105
2 201053
3 202144
4 201539
5 201125
6 202021
7 201921
8 202115
9 201514
10 202013
11 201513
12 202012
13 202012
14 202111
15 20198
16 20116
17 20234
18 20243

About Therese Ku

Therese Ku is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases, Pharmacology and Organic Chemistry, having authored 18 papers that have together received 419 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), HIV/AIDS drug development and treatment (4 papers), Biochemical and Molecular Research (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Click Chemistry and Applications (2 papers), Cannabis and Cannabinoid Research (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (83 citations), Pharmacology (72 citations), Pulmonary and Respiratory Medicine (86 citations), Biological Psychiatry (6 citations) and Virology (10 citations). Therese Ku has collaborated with scholars based in United States, Denmark and Canada. Frequent co-authors include Katherine L. Seley‐Radtke, Amy Hauck Newman, Alessandro Bonifazi, Zhe Chen, Zheng‐Xiong Xi, Chloe J. Jordan, Sharon A. McGrath‐Morrow, Hiroaki Misonou, Enid Neptune and Hataya Poonyagariyagorn. Their work appears in journals such as Journal of Medicinal Chemistry, ACS Pharmacology & Translational Science, Chemico-Biological Interactions, The Annual Review of Pharmacology and Toxicology and PLoS ONE.

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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