Christine S. Liu

2.1k total citations
9 papers, 449 citations indexed

About

Christine S. Liu is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Christine S. Liu has authored 9 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Christine S. Liu's work include Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (3 papers) and Single-cell and spatial transcriptomics (2 papers). Christine S. Liu is often cited by papers focused on Chromosomal and Genetic Variations (3 papers), RNA Research and Splicing (3 papers) and Single-cell and spatial transcriptomics (2 papers). Christine S. Liu collaborates with scholars based in United States and Netherlands. Christine S. Liu's co-authors include Jerold Chun, Benjamin Siddoway, William J. Romanow, Richard Rivera, Tao Long, Gwendolyn E. Kaeser, Chris Park, Igor Šegota, Grace Kennedy and Adam Hoagland and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Neuroscience.

In The Last Decade

Christine S. Liu

7 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christine S. Liu United States	6	228	87	87	75	51	9	449
Francesca Burgos‐Bravo Chile	10	190 0.8×	46 0.5×	27 0.3×	53 0.7×	51 1.0×	12	430
Veslemøy Rolseth Norway	14	459 2.0×	34 0.4×	76 0.9×	29 0.4×	45 0.9×	23	700
Naomi Hachiya Japan	18	990 4.3×	103 1.2×	53 0.6×	83 1.1×	99 1.9×	52	1.1k
Mark E. Corkins United States	12	285 1.3×	59 0.7×	66 0.8×	69 0.9×	7 0.1×	19	621
György Török Hungary	13	197 0.9×	90 1.0×	31 0.4×	19 0.3×	147 2.9×	35	593
Filipa Martins Portugal	13	265 1.2×	117 1.3×	23 0.3×	36 0.5×	32 0.6×	31	537
Madhuparna Roy India	11	303 1.3×	118 1.4×	20 0.2×	40 0.5×	22 0.4×	23	473
Sebastian Longen Germany	12	634 2.8×	47 0.5×	16 0.2×	46 0.6×	14 0.3×	16	771
Juan Carlos Fierro-González Sweden	12	521 2.3×	66 0.8×	25 0.3×	149 2.0×	8 0.2×	14	869
Albert R. Giandomenico United States	8	140 0.6×	63 0.7×	17 0.2×	53 0.7×	34 0.7×	13	444

Countries citing papers authored by Christine S. Liu

Since Specialization

Citations

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

Fields of papers citing papers by Christine S. Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christine S. Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Christine S. Liu. A scholar is included among the top collaborators of Christine S. 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 Christine S. Liu. Christine S. 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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9 of 9 papers shown

1.

Liu, Christine S., et al.. (2025). Sequence Diversity and Encoded Enzymatic Differences of Monocistronic L1 ORF2 mRNA Variants in the Aged Normal and Alzheimer's Disease Brain. Journal of Neuroscience. 45(25). e2298242025–e2298242025.

2.

Liu, Christine S., et al.. (2025). isoSeQL: comparing long-read isoforms across multiple datasets. Bioinformatics. 42(1).

3.

Liu, Christine S., Christopher Y. Park, Tony Ngo, et al.. (2024). RNA Isoform Diversity in Human Neurodegenerative Diseases. eNeuro. 11(12). ENEURO.0296–24.2024. 3 indexed citations

4.

Liu, Christine S., et al.. (2024). Human brain small extracellular vesicles contain selectively packaged, full-length mRNA. Cell Reports. 43(4). 114061–114061. 11 indexed citations

5.

Palmer, Carter R., et al.. (2021). Altered cell and RNA isoform diversity in aging Down syndrome brains. Proceedings of the National Academy of Sciences. 118(47). 52 indexed citations

6.

Xiao, Tong, Cheri M. Ackerman, Elizabeth C. Carroll, et al.. (2018). Copper regulates rest-activity cycles through the locus coeruleus-norepinephrine system. Nature Chemical Biology. 14(7). 655–663. 127 indexed citations

7.

Siddoway, Benjamin, Gwendolyn E. Kaeser, Igor Šegota, et al.. (2018). Somatic APP gene recombination in Alzheimer’s disease and normal neurons. Nature. 563(7733). 639–645. 151 indexed citations

8.

Siddoway, Benjamin, et al.. (2018). Genomic mosaicism in the developing and adult brain. Developmental Neurobiology. 78(11). 1026–1048. 71 indexed citations

9.

April, Craig, Fiona Kaper, Richard Rivera, et al.. (2018). Submegabase copy number variations arise during cerebral cortical neurogenesis as revealed by single-cell whole-genome sequencing. Proceedings of the National Academy of Sciences. 115(42). 10804–10809. 34 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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