Tzu‐Lan Liu

492 total citations
8 papers, 362 citations indexed

About

Tzu‐Lan Liu is a scholar working on Cognitive Neuroscience, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Tzu‐Lan Liu has authored 8 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Tzu‐Lan Liu's work include Memory and Neural Mechanisms (5 papers), Neural dynamics and brain function (3 papers) and Receptor Mechanisms and Signaling (3 papers). Tzu‐Lan Liu is often cited by papers focused on Memory and Neural Mechanisms (5 papers), Neural dynamics and brain function (3 papers) and Receptor Mechanisms and Signaling (3 papers). Tzu‐Lan Liu collaborates with scholars based in Taiwan and United States. Tzu‐Lan Liu's co-authors include Geoffrey Schoenbaum, Michael A. McDannald, Yuji K. Takahashi, Thomas A. Stalnaker, Nisha K. Cooch, Heather M. Wied, Keng‐Chen Liang, Chien‐Chin Hsu, Jhi‐Joung Wang and Yuan Kao and has published in prestigious journals such as Nature Communications, Annals of the New York Academy of Sciences and Psychopharmacology.

In The Last Decade

Tzu‐Lan Liu

8 papers receiving 350 citations

Peers

Tzu‐Lan Liu
Comparison fields: 5 of 58
  • Cognitive Neuroscience 283
  • Cellular and Molecular Neuroscience 110
  • Experimental and Cognitive Psychology 53
  • Social Psychology 39
  • Molecular Biology 28
Replace Leonhard Waschke with:
Leonhard Waschke Germany
Moonsang Seo United Kingdom
В. Б. Стрелец Russia
Geoffrey Schnirman United States
Azadeh HajiHosseini Canada
Chris Retzler United Kingdom
Aaron S. Geller United States
Patricia Pelz Germany
Luciana Benedetto Uruguay
Leonhard Waschke Germany View profile →
Citations per field, relative to Tzu‐Lan Liu
Tzu‐Lan Liu · 1×
Citations per year, relative to Tzu‐Lan Liu
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Countries citing papers authored by Tzu‐Lan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Tzu‐Lan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu‐Lan Liu. 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 Tzu‐Lan Liu. The network helps show where Tzu‐Lan Liu may publish in the future.

Co-authorship network of co-authors of Tzu‐Lan Liu

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

All Works

8 of 8 papers shown
# Work Indexed citations
1 19
2 31
3 18
4 87
5 1
6 7
7 187
8 12

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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