Wen Xi Cao

657 total citations · 1 hit paper
8 papers, 377 citations indexed

About

Wen Xi Cao is a scholar working on Molecular Biology, Aging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Wen Xi Cao has authored 8 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Aging and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Wen Xi Cao's work include RNA Research and Splicing (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and RNA modifications and cancer (3 papers). Wen Xi Cao is often cited by papers focused on RNA Research and Splicing (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and RNA modifications and cancer (3 papers). Wen Xi Cao collaborates with scholars based in Canada, United States and Germany. Wen Xi Cao's co-authors include Howard D. Lipshitz, Nadine L. Vastenhouw, Stéphane Angers, Sichun Lin, Craig A. Smibert, John Laver, Sachdev S. Sidhu, Angelo Karaiskakis, J. Timothy Westwood and Kun Nie and has published in prestigious journals such as Development, Genetics and Cell Reports.

In The Last Decade

Wen Xi Cao

7 papers receiving 373 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The maternal-to-zygotic transition revisited

2019 279 citations Nadine L. Vastenhouw, Wen Xi Cao et al. Development profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wen Xi Cao Canada	5	313	51	44	38	30	8	377
Jennifer L. Semotok Canada	6	325 1.0×	34 0.7×	24 0.5×	23 0.6×	18 0.6×	8	358
Zhaoying Shi China	8	388 1.2×	124 2.4×	46 1.0×	17 0.4×	37 1.2×	16	459
Amanda A. Amodeo United States	9	358 1.1×	50 1.0×	69 1.6×	23 0.6×	90 3.0×	13	437
Wei‐Siang Liau United States	12	236 0.8×	48 0.9×	24 0.5×	44 1.2×	14 0.5×	15	361
Shuhei Kimura Japan	12	312 1.0×	107 2.1×	53 1.2×	50 1.3×	22 0.7×	15	445
Sally Fujiyama‐Nakamura Japan	7	274 0.9×	37 0.7×	52 1.2×	29 0.8×	63 2.1×	8	327
Struan C. Murray United Kingdom	7	419 1.3×	38 0.7×	73 1.7×	13 0.3×	19 0.6×	9	502
Iva Kronja Germany	8	390 1.2×	38 0.7×	56 1.3×	47 1.2×	159 5.3×	8	471
Yuewan Luo China	5	551 1.8×	47 0.9×	71 1.6×	12 0.3×	14 0.5×	6	630
Emily L. Petty United States	9	370 1.2×	40 0.8×	87 2.0×	25 0.7×	55 1.8×	17	429

Countries citing papers authored by Wen Xi Cao

Since Specialization

Citations

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

Fields of papers citing papers by Wen Xi Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen Xi Cao. 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 Wen Xi Cao. The network helps show where Wen Xi Cao may publish in the future.

Co-authorship network of co-authors of Wen Xi Cao

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Cao, Wen Xi, et al.. (2024). Toolkits for detailed and high-throughput interrogation of synapses in C. elegans. eLife. 12.

2.

Cao, Wen Xi, et al.. (2024). Comparative analysis of new mScarlet-based red fluorescent tags in Caenorhabditis elegans. Genetics. 228(2). 1 indexed citations

3.

Cao, Wen Xi, et al.. (2023). Toolkits for detailed and high-throughput interrogation of synapses in C. elegans. eLife. 12. 3 indexed citations

4.

Cao, Wen Xi, Angelo Karaiskakis, Sichun Lin, Stéphane Angers, & Howard D. Lipshitz. (2021). The F-box protein Bard (CG14317) targets the Smaug RNA-binding protein for destruction during the Drosophila maternal-to-zygotic transition. Genetics. 220(1). 6 indexed citations

5.

Laver, John, Jimmy Ly, Jennifer Winn, et al.. (2020). The RNA-Binding Protein Rasputin/G3BP Enhances the Stability and Translation of Its Target mRNAs. Cell Reports. 30(10). 3353–3367.e7. 34 indexed citations

6.

Cao, Wen Xi, Meera Gupta, Sichun Lin, et al.. (2020). Precise Temporal Regulation of Post-transcriptional Repressors Is Required for an Orderly Drosophila Maternal-to-Zygotic Transition. Cell Reports. 31(12). 107783–107783. 39 indexed citations

7.

Vastenhouw, Nadine L., Wen Xi Cao, & Howard D. Lipshitz. (2019). The maternal-to-zygotic transition revisited. Development. 146(11). 279 indexed citations breakdown →

8.

Hong, Na, John Laver, Fateh Singh, et al.. (2016). A high-throughput pipeline for the production of synthetic antibodies for analysis of ribonucleoprotein complexes. RNA. 22(4). 636–655. 15 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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