Wenwu Cui

3.7k total citations · 1 hit paper
16 papers, 2.0k citations indexed

About

Wenwu Cui is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Wenwu Cui has authored 16 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Genetics. Recurrent topics in Wenwu Cui's work include Advanced biosensing and bioanalysis techniques (4 papers), RNA and protein synthesis mechanisms (4 papers) and Molecular Biology Techniques and Applications (3 papers). Wenwu Cui is often cited by papers focused on Advanced biosensing and bioanalysis techniques (4 papers), RNA and protein synthesis mechanisms (4 papers) and Molecular Biology Techniques and Applications (3 papers). Wenwu Cui collaborates with scholars based in United States, Argentina and United Kingdom. Wenwu Cui's co-authors include Kyle Kai‐How Farh, Amirali Kia, Yang Li, Siavash Fazel Darbandi, Serafim Batzoglou, Sofia Kyriazopoulou Panagiotopoulou, Eric D. Chow, Jack A. Kosmicki, Grace Schwartz and Jeremy F. McRae and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Wenwu Cui

16 papers receiving 2.0k 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.

Predicting Splicing from Primary Sequence with Deep Learning

2019 1.3k citations Kishore Jaganathan, Sofia Kyriazopoulou Panagiotopoulou et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenwu Cui United States	11	1.4k	567	226	144	142	16	2.0k
Shaun S. Abeysinghe United Kingdom	8	1.4k 1.0×	845 1.5×	186 0.8×	80 0.6×	106 0.7×	8	2.1k
Philip D. Cotter United States	26	1.3k 1.0×	994 1.8×	298 1.3×	153 1.1×	200 1.4×	95	2.4k
David Valle‐García United States	20	2.2k 1.6×	784 1.4×	402 1.8×	153 1.1×	173 1.2×	35	3.0k
Charles E. Chapple France	10	859 0.6×	494 0.9×	140 0.6×	83 0.6×	117 0.8×	11	1.6k
William G. Fairbrother United States	25	2.5k 1.8×	366 0.6×	342 1.5×	151 1.0×	160 1.1×	48	3.0k
Giovanna Ambrosini Switzerland	22	1.3k 0.9×	268 0.5×	276 1.2×	172 1.2×	206 1.5×	37	1.8k
Vittorio Enrico Avvedimento Italy	25	1.1k 0.8×	352 0.6×	154 0.7×	121 0.8×	166 1.2×	53	1.9k
Alejandro Sifrim Belgium	16	1.1k 0.8×	510 0.9×	268 1.2×	129 0.9×	262 1.8×	28	1.8k
Robbyn Issner United States	12	2.8k 2.0×	564 1.0×	377 1.7×	209 1.5×	161 1.1×	16	3.2k
Peggy D. Robertson United States	9	946 0.7×	855 1.5×	272 1.2×	82 0.6×	88 0.6×	12	1.7k

Countries citing papers authored by Wenwu Cui

Since Specialization

Citations

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

Fields of papers citing papers by Wenwu Cui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenwu Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Wenwu Cui. A scholar is included among the top collaborators of Wenwu Cui 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 Wenwu Cui. Wenwu Cui 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:

16 of 16 papers shown

Stanley, John, et al.. (2023). High throughput isolation of RNA from single-cells within an intact tissue for spatial and temporal sequencing a reality. PLoS ONE. 18(8). e0289279–e0289279. 1 indexed citations

Jaganathan, Kishore, Sofia Kyriazopoulou Panagiotopoulou, Jeremy F. McRae, et al.. (2019). Predicting Splicing from Primary Sequence with Deep Learning. Cell. 176(3). 535–548.e24. 1250 indexed citations breakdown →

Kupershmidt, Ilya, Qiaojuan Jane Su, Anoop Grewal, et al.. (2010). Ontology-Based Meta-Analysis of Global Collections of High-Throughput Public Data. PLoS ONE. 5(9). e13066–e13066. 287 indexed citations

Byun, Jung S., Madeline Wong, Wenwu Cui, et al.. (2009). Dynamic bookmarking of primary response genes by p300 and RNA polymerase II complexes. Proceedings of the National Academy of Sciences. 106(46). 19286–19291. 52 indexed citations

Cui, Wenwu, et al.. (2008). [Gene expression profile of human normal gastrointestinal tract tissues: bioinformatic study].. PubMed. 24(3). 334–7. 1 indexed citations

Idelman, Gila, Silje Nord, Wenwu Cui, et al.. (2008). Transcriptional Networks Inferred from Molecular Signatures of Breast Cancer. American Journal Of Pathology. 172(2). 495–509. 10 indexed citations

Cui, Wenwu, Dennis D. Taub, & Kathy Gardner. (2006). qPrimerDepot: a primer database for quantitative real time PCR. Nucleic Acids Research. 35(Database). D805–D809. 142 indexed citations

Ge, Yubin, Gabriella Rustici, Wendy Freebern, et al.. (2006). Selective leukemic-cell killing by a novel functional class of thalidomide analogs. Blood. 108(13). 4126–4135. 25 indexed citations

McNutt, Markey, Wenwu Cui, Irene Collins, et al.. (2005). Human promoter genomic composition demonstrates non-random groupings that reflect general cellular function. BMC Bioinformatics. 6(1). 259–259. 4 indexed citations

10.

Cui, Wenwu, Jianchang Ning, Ulhas P. Naik, & Melinda K. Duncan. (2004). OptiRNAi, a Web-based program to select siRNA sequences. 433–434. 1 indexed citations

11.

Cui, Wenwu, Stanislav I. Tomarev, Joram Piatigorsky, Ana B. Chepelinsky, & Melinda K. Duncan. (2004). Mafs, Prox1, and Pax6 Can Regulate Chicken βB1-Crystallin Gene Expression. Journal of Biological Chemistry. 279(12). 11088–11095. 70 indexed citations

12.

Duncan, Melinda K., Leike Xie, Larry L. David, et al.. (2004). Ectopic Pax6 Expression Disturbs Lens Fiber Cell Differentiation. Investigative Ophthalmology & Visual Science. 45(10). 3589–3589. 43 indexed citations

13.

Cui, Wenwu. (2004). OptiRNAi, an RNAi design tool. Computer Methods and Programs in Biomedicine. 75(1). 67–73. 4 indexed citations

14.

Cui, Wenwu, Jianchang Ning, Ulhas P. Naik, & Melinda K. Duncan. (2003). OptiRNAi, an RNAi design tool. Computer Methods and Programs in Biomedicine. 75(1). 67–73. 29 indexed citations

15.

Duncan, Melinda K., Wenwu Cui, Dong‐Jin Oh, & Stanislav I. Tomarev. (2002). Prox1 is differentially localized during lens development. Mechanisms of Development. 112(1-2). 195–198. 77 indexed citations

16.

Martins, Wellington S., Juan del Cuvillo, Wenwu Cui, & Guang R. Gao. (2001). Whole Genome Alignment using a Multithreaded Parallel Implementation. 1–8. 11 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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