Clara Liao

948 total citations · 2 hit papers
10 papers, 579 citations indexed

About

Clara Liao is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology and Organic Chemistry. According to data from OpenAlex, Clara Liao has authored 10 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 4 papers in Clinical Psychology and 3 papers in Organic Chemistry. Recurrent topics in Clara Liao's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Psychedelics and Drug Studies (4 papers) and Chemical synthesis and alkaloids (3 papers). Clara Liao is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Psychedelics and Drug Studies (4 papers) and Chemical synthesis and alkaloids (3 papers). Clara Liao collaborates with scholars based in United States, Switzerland and South Korea. Clara Liao's co-authors include Alex C. Kwan, Pasha A. Davoudian, Ian Gregg, Neil K. Savalia, Ling-Xiao Shao, Jesse R. Zamudio, Nadya Dimitrova, Elena Martínez‐Terroba, Jeremy A. Schofield and Joshua T. Zimmer and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Clara Liao

9 papers receiving 573 citations

Hit Papers

Psilocybin induces rapid and persistent growth of dendrit... 2021 2026 2022 2024 2021 2025 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Clara Liao United States 7 352 281 220 160 96 10 579
Maxemiliano V. Vargas United States 8 484 1.4× 423 1.5× 317 1.4× 161 1.0× 8 0.1× 9 763
Florian Enzler Austria 7 277 0.8× 195 0.7× 141 0.6× 124 0.8× 8 0.1× 11 447
Sarah M. Zimmerman United States 10 205 0.6× 350 1.2× 39 0.2× 170 1.1× 19 0.2× 17 698
Benjamin R. Chemel United States 9 77 0.2× 247 0.9× 94 0.4× 190 1.2× 7 0.1× 12 408
Shihao Huang China 12 44 0.1× 83 0.3× 25 0.1× 236 1.5× 86 0.9× 40 439
D. J. Vidyadhara United States 12 40 0.1× 168 0.6× 33 0.1× 132 0.8× 10 0.1× 23 509
Renato Filev Brazil 8 111 0.3× 115 0.4× 41 0.2× 45 0.3× 5 0.1× 17 271
In Soo Ryu South Korea 13 34 0.1× 161 0.6× 12 0.1× 182 1.1× 41 0.4× 30 336
Pier Francesca Porceddu Italy 10 47 0.1× 195 0.7× 46 0.2× 119 0.7× 5 0.1× 14 430
Barbara Hoefgen Germany 7 32 0.1× 114 0.4× 62 0.3× 154 1.0× 6 0.1× 7 383

Countries citing papers authored by Clara Liao

Since Specialization
Citations

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

Fields of papers citing papers by Clara Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Liao. A scholar is included among the top collaborators of Clara Liao 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 Clara Liao. Clara Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Liao, Clara, Pasha A. Davoudian, Neil K. Savalia, et al.. (2025). Psilocybin’s lasting action requires pyramidal cell types and 5-HT2A receptors. Nature. 642(8067). 411–420. 27 indexed citations breakdown →
2.
Davoudian, Pasha A., et al.. (2025). Classification of psychedelics and psychoactive drugs based on brain-wide imaging of cellular c-Fos expression. Nature Communications. 16(1). 1590–1590. 4 indexed citations
3.
Liao, Clara, et al.. (2024). Publisher Correction: Structural neural plasticity evoked by rapid-acting antidepressant interventions. Nature reviews. Neuroscience. 26(2). 135–135.
4.
Liao, Clara, et al.. (2024). Structural neural plasticity evoked by rapid-acting antidepressant interventions. Nature reviews. Neuroscience. 26(2). 101–114. 17 indexed citations
5.
Tejwani, Leon, Youngseob Jung, Hiroshi Kokubu, et al.. (2023). Reduction of nemo-like kinase increases lysosome biogenesis and ameliorates TDP-43–related neurodegeneration. Journal of Clinical Investigation. 133(16). 9 indexed citations
6.
Jefferson, Sarah J., Ian Gregg, Clara Liao, et al.. (2023). 5-MeO-DMT modifies innate behaviors and promotes structural neural plasticity in mice. Neuropsychopharmacology. 48(9). 1257–1266. 34 indexed citations
7.
Shao, Ling-Xiao, Clara Liao, Ian Gregg, et al.. (2021). Psilocybin induces rapid and persistent growth of dendritic spines in frontal cortex in vivo. Neuron. 109(16). 2535–2544.e4. 351 indexed citations breakdown →
8.
Liao, Clara & Alex C. Kwan. (2021). Applying Reinforcement Learning to Rodent Stress Research. SHILAP Revista de lepidopterología. 5. 227946908–227946908. 7 indexed citations
9.
Martínez‐Terroba, Elena, Joshua T. Zimmer, Clara Liao, et al.. (2020). p53 Activates the Long Noncoding RNA Pvt1b to Inhibit Myc and Suppress Tumorigenesis. Molecular Cell. 77(4). 761–774.e8. 124 indexed citations
10.
Liao, Clara, et al.. (2019). p53 Activates the Long Noncoding RNA Pvt1b to Inhibit Myc and Suppress Tumorigenesis. SSRN Electronic Journal. 6 indexed citations

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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