Nicholas Liang

714 total citations
2 papers, 65 citations indexed

About

Nicholas Liang is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Nicholas Liang has authored 2 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Biomedical Engineering. Recurrent topics in Nicholas Liang's work include Pluripotent Stem Cells Research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). Nicholas Liang is often cited by papers focused on Pluripotent Stem Cells Research (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Advanced biosensing and bioanalysis techniques (1 paper). Nicholas Liang collaborates with scholars based in Brazil and United States. Nicholas Liang's co-authors include Alysson R. Muotri, Priscilla D. Negraes, Cleber A. Trujillo, Wei Wu, Salvador Martínez‐Bartolomé, Timothy H. Tran, Daniel B. McClatchy, Roberto H. Herai, Hang Yao and Ryan A. Szeto and has published in prestigious journals such as Molecular Psychiatry and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

In The Last Decade

Nicholas Liang

2 papers receiving 65 citations

Peers

Nicholas Liang
Justin Truong United States
Alexander Atamian United States
Chuan Tan Australia
Ka Man Wu Netherlands
Matthew Tegtmeyer United States
Rebecca de Frates United States
Justin Truong United States
Nicholas Liang
Citations per year, relative to Nicholas Liang Nicholas Liang (= 1×) peers Justin Truong

Countries citing papers authored by Nicholas Liang

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Liang

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

All Works

2 of 2 papers shown
1.
Negraes, Priscilla D., Cleber A. Trujillo, Nam‐Kyung Yu, et al.. (2021). Altered network and rescue of human neurons derived from individuals with early-onset genetic epilepsy. Molecular Psychiatry. 26(11). 7047–7068. 52 indexed citations
2.
Liang, Nicholas, Cleber A. Trujillo, Priscilla D. Negraes, et al.. (2017). Stem cell contributions to neurological disease modeling and personalized medicine. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 80(Pt A). 54–62. 13 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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