Jonathan Liu

985 total citations
11 papers, 275 citations indexed

About

Jonathan Liu is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jonathan Liu has authored 11 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Aging and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jonathan Liu's work include Genetics, Aging, and Longevity in Model Organisms (5 papers), CRISPR and Genetic Engineering (4 papers) and Photoreceptor and optogenetics research (2 papers). Jonathan Liu is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (5 papers), CRISPR and Genetic Engineering (4 papers) and Photoreceptor and optogenetics research (2 papers). Jonathan Liu collaborates with scholars based in United States, Germany and Canada. Jonathan Liu's co-authors include Paul W. Sternberg, Han Wang, Janice E. Clements, Kenneth W. Witwer, Stephanie L. Sarbanes, Navin Pokala, Erich M. Schwarz, Shahla Gharib, Andrew J. Hill and Kai P. Yuet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Methods and AIDS.

In The Last Decade

Jonathan Liu

11 papers receiving 274 citations

Peers

Jonathan Liu

AGING

VIROL

GENET

Gritta Tettweiler Canada

Monica S. Humby United States

J. Sebastián Gómez-Cavazos United States

Andrea J. Gossett United States

Emily L. Petty United States

Erika B. Sorensen United States

Angika Basant United Kingdom

Purnima Ravisankar United States

James Y.S. Kim United States

Kristopher L. Schmidt Canada

Gritta Tettweiler Canada

Jonathan Liu

222 ×1.4

54 ×0.6

AGING

4 ×0.1

VIROL

14 ×0.3

17 ×0.4

GENET

Citations per year, relative to Jonathan Liu Jonathan Liu (= 1×) peers Gritta Tettweiler

Countries citing papers authored by Jonathan Liu

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Liu

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

All Works

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11 of 11 papers shown

Gharib, Shahla, Han Wang, Jasmin S. Revanna, et al.. (2023). A cGAL-UAS bipartite expression toolkit for Caenorhabditis elegans sensory neurons. Proceedings of the National Academy of Sciences. 120(51). e2221680120–e2221680120. 3 indexed citations

Chan, Tiffany, et al.. (2020). Identifying Counterfeit Cigarettes Using Environmental Pollen Analysis: An Improved Procedure*. Journal of Forensic Sciences. 65(6). 2138–2145. 4 indexed citations

Wang, Han, et al.. (2018). An Efficient Genome Editing Strategy To Generate Putative Null Mutants in Caenorhabditis elegans Using CRISPR/Cas9. G3 Genes Genomes Genetics. 8(11). 3607–3616. 53 indexed citations

Liu, Jonathan, et al.. (2018). Application of the red-shifted channelrhodopsin Chrimson for the Caenorhabditis elegans cGAL bipartite system. PubMed. 2018. 1 indexed citations

Wang, Han, Jonathan Liu, Kai P. Yuet, Andrew J. Hill, & Paul W. Sternberg. (2018). Split cGAL, an intersectional strategy using a split intein for refined spatiotemporal transgene control in Caenorhabditis elegans. Proceedings of the National Academy of Sciences. 115(15). 3900–3905. 25 indexed citations

Wang, Han, et al.. (2017). Mapping results for a set of cGAL effectors and drivers. PubMed. 2017. 3 indexed citations

Wang, Han, Jonathan Liu, Shahla Gharib, et al.. (2016). cGAL, a temperature-robust GAL4–UAS system for Caenorhabditis elegans. Nature Methods. 14(2). 145–148. 50 indexed citations

Liu, Jonathan, Jeanne M. Sisk, Lúcio Gama, Janice E. Clements, & Kenneth W. Witwer. (2013). Tristetraprolin expression and microRNA-mediated regulation during simian immunodeficiency virus infection of the central nervous system. Molecular Brain. 6(1). 40–40. 13 indexed citations

Witwer, Kenneth W., Stephanie L. Sarbanes, Jonathan Liu, & Janice E. Clements. (2011). A plasma microRNA signature of acute lentiviral infection. AIDS. 25(17). 2057–2067. 55 indexed citations

10.

Gowrisankar, Sivakumar, Jordan Lerner‐Ellis, Stephanie Cox, et al.. (2010). Evaluation of Second-Generation Sequencing of 19 Dilated Cardiomyopathy Genes for Clinical Applications. Journal of Molecular Diagnostics. 12(6). 818–827. 27 indexed citations

11.

Osborne, John D., Melissa Da Silva, A. Michael Frace, et al.. (2007). Genomic differences of Vaccinia virus clones from Dryvax smallpox vaccine: The Dryvax-like ACAM2000 and the mouse neurovirulent Clone-3. Vaccine. 25(52). 8807–8832. 41 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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