Chunlei Wu

9.3k total citations · 3 hit papers
58 papers, 4.5k citations indexed

About

Chunlei Wu is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Chunlei Wu has authored 58 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 10 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Chunlei Wu's work include Gene expression and cancer classification (19 papers), Bioinformatics and Genomic Networks (13 papers) and Genomics and Phylogenetic Studies (10 papers). Chunlei Wu is often cited by papers focused on Gene expression and cancer classification (19 papers), Bioinformatics and Genomic Networks (13 papers) and Genomics and Phylogenetic Studies (10 papers). Chunlei Wu collaborates with scholars based in United States, China and United Kingdom. Chunlei Wu's co-authors include Andrew I. Su, Xiaoming Liu, Chang Li, Eric Boerwinkle, Serge Batalov, Camilo Madariaga Orozco, Jeff Janes, J. Haase, Jason Boyer and Cyrus Afrasiabi and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Biotechnology.

In The Last Decade

Chunlei Wu

53 papers receiving 4.5k citations

Hit Papers

BioGPS: an extensible and customizable portal for queryin... 2009 2026 2014 2020 2009 2015 2013 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunlei Wu United States 24 2.7k 1.0k 706 570 471 58 4.5k
Matt W. Wright United Kingdom 24 2.3k 0.9× 992 1.0× 523 0.7× 568 1.0× 727 1.5× 31 4.4k
Mario Albrecht Germany 38 3.7k 1.4× 792 0.8× 408 0.6× 406 0.7× 690 1.5× 74 6.4k
Oliver Hofmann United States 26 3.0k 1.1× 625 0.6× 647 0.9× 1.3k 2.2× 662 1.4× 80 4.9k
Yongwook Choi United States 21 2.8k 1.1× 1.6k 1.6× 290 0.4× 386 0.7× 279 0.6× 40 5.0k
Alex MacKenzie Canada 37 4.6k 1.7× 1.1k 1.0× 538 0.8× 588 1.0× 735 1.6× 125 6.8k
Eric W. Klee United States 34 2.1k 0.8× 1.0k 1.0× 416 0.6× 652 1.1× 201 0.4× 178 4.0k
Patrick Cahan United States 31 3.9k 1.5× 582 0.6× 598 0.8× 532 0.9× 380 0.8× 73 5.4k
Hongkai Ji United States 37 5.4k 2.0× 769 0.8× 316 0.4× 686 1.2× 494 1.0× 126 7.1k
Priit Adler Estonia 13 3.5k 1.3× 857 0.8× 324 0.5× 939 1.6× 823 1.7× 18 6.0k
Lan Jiang China 33 2.8k 1.0× 567 0.6× 288 0.4× 618 1.1× 488 1.0× 108 5.0k

Countries citing papers authored by Chunlei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chunlei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunlei Wu

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

All Works

20 of 20 papers shown
1.
Wu, Chunlei, et al.. (2025). High-Fold 3D Gaussian Splatting Model Pruning Method Assisted by Opacity. Applied Sciences. 15(3). 1535–1535.
2.
Hughes, Laura D., Ginger Tsueng, Jack DiGiovanna, et al.. (2023). Addressing barriers in FAIR data practices for biomedical data. Scientific Data. 10(1). 98–98. 22 indexed citations
3.
Xin, Jiwen, Marco Alvarado Cano, Anders Riutta, et al.. (2023). BioThings Explorer: a query engine for a federated knowledge graph of biomedical APIs. Bioinformatics. 39(9). 1 indexed citations
4.
Tsueng, Ginger, Marco Alvarado Cano, José Bento, et al.. (2023). Developing a standardized but extendable framework to increase the findability of infectious disease datasets. Scientific Data. 10(1). 99–99. 7 indexed citations
5.
Zhou, Xinghua, Cyrus Afrasiabi, Zhongchao Qian, et al.. (2022). BioThings SDK: a toolkit for building high-performance data APIs in biomedical research. Bioinformatics. 38(7). 2077–2079. 12 indexed citations
6.
Summers, Kim, Stephen J. Bush, Chunlei Wu, & David Hume. (2022). Generation and network analysis of an RNA-seq transcriptional atlas for the rat. NAR Genomics and Bioinformatics. 4(1). lqac017–lqac017. 7 indexed citations
7.
Wu, Chunlei, et al.. (2021). Development of an immune-related gene pairs signature for predicting clinical outcome in lung adenocarcinoma. Scientific Reports. 11(1). 3611–3611. 5 indexed citations
8.
Whetzel, Trish, Amrapali Zaveri, Kathleen M. Jagodnik, et al.. (2017). The smartAPI ecosystem for making Web APIs FAIR. Ghent University Academic Bibliography (Ghent University). 1931. 1–4. 2 indexed citations
9.
Putman, Tim, Sebastian Burgstaller-Muehlbacher, Andra Waagmeester, et al.. (2016). Centralizing content and distributing labor: a community model for curating the very long tail of microbial genomes. Database. 2016. baw028–baw028. 5 indexed citations
10.
11.
Xin, Jiwen, Adam Mark, Cyrus Afrasiabi, et al.. (2016). High-performance web services for querying gene and variant annotation. Genome biology. 17(1). 91–91. 112 indexed citations
12.
Xin, Jiwen, Cyrus Afrasiabi, Adam M. Mark, et al.. (2016). MyGene.info web frontend component. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
13.
Wu, Chunlei, Xuefeng Jin, Ginger Tsueng, Cyrus Afrasiabi, & Andrew I. Su. (2015). BioGPS: building your own mash-up of gene annotations and expression profiles. Nucleic Acids Research. 44(D1). D313–D316. 309 indexed citations
14.
Good, Benjamin M., et al.. (2014). The Cure: Design and Evaluation of a Crowdsourcing Game for Gene Selection for Breast Cancer Survival Prediction. JMIR Serious Games. 2(2). e7–e7. 27 indexed citations
15.
Shoulders, Matthew D., Lisa M. Ryno, Joseph C. Genereux, et al.. (2013). Stress-Independent Activation of XBP1s and/or ATF6 Reveals Three Functionally Diverse ER Proteostasis Environments. Cell Reports. 3(4). 1279–1292. 422 indexed citations breakdown →
16.
Freeman, Tom C., Alasdair Ivens, J. Kenneth Baillie, et al.. (2012). A gene expression atlas of the domestic pig. BMC Biology. 10(1). 90–90. 127 indexed citations
17.
Miller, Eric J, Jiayi Yang, Michael DeRan, et al.. (2012). Identification of Serum-Derived Sphingosine-1-Phosphate as a Small Molecule Regulator of YAP. Chemistry & Biology. 19(8). 955–962. 216 indexed citations
18.
Hu, Yue, Anna Galkin, Chunlei Wu, Venkateshwar A. Reddy, & Andrew I. Su. (2011). CAFET Algorithm Reveals Wnt/PCP Signature in Lung Squamous Cell Carcinoma. PLoS ONE. 6(10). e25807–e25807. 5 indexed citations
19.
Orozco, Camilo Madariaga, Chunlei Wu, Serge Batalov, et al.. (2008). A Gene Wiki for Community Annotation of Gene Function. PLoS Biology. 6(7). e175–e175. 83 indexed citations
20.
Zhang, Li, et al.. (2006). Free energy of DNA duplex formation on short oligonucleotide microarrays. Nucleic Acids Research. 35(3). e18–e18. 53 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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