Dan Wang

10.0k total citations · 2 hit papers
233 papers, 7.0k citations indexed

About

Dan Wang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Dan Wang has authored 233 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 134 papers in Molecular Biology, 102 papers in Genetics and 28 papers in Cancer Research. Recurrent topics in Dan Wang's work include Virus-based gene therapy research (38 papers), CRISPR and Genetic Engineering (32 papers) and RNA Interference and Gene Delivery (22 papers). Dan Wang is often cited by papers focused on Virus-based gene therapy research (38 papers), CRISPR and Genetic Engineering (32 papers) and RNA Interference and Gene Delivery (22 papers). Dan Wang collaborates with scholars based in China, United States and Japan. Dan Wang's co-authors include Guangping Gao, Phillip W.L. Tai, Feng Zhang, Kim M. Keeling, David M. Bedwell, Svend Strandgaard, Jens Iversen, Jun Xie, Wen Xue and Chao Ning and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Dan Wang

220 papers receiving 6.9k citations

Hit Papers

Adeno-associated virus vector as a platform for gene ther... 2019 2026 2021 2023 2019 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Wang China 41 4.5k 2.5k 694 540 530 233 7.0k
Michael J. Caplan United States 57 6.8k 1.5× 2.0k 0.8× 648 0.9× 484 0.9× 677 1.3× 193 10.6k
Janet A. Warrington United States 34 4.7k 1.0× 1.6k 0.6× 550 0.8× 922 1.7× 681 1.3× 60 7.8k
Michael Krause United States 53 8.1k 1.8× 1.1k 0.4× 617 0.9× 544 1.0× 1.2k 2.2× 129 11.4k
Rong Zeng China 53 5.6k 1.3× 778 0.3× 722 1.0× 906 1.7× 477 0.9× 222 8.5k
Tur‐Fu Huang Taiwan 45 3.1k 0.7× 2.9k 1.2× 414 0.6× 506 0.9× 583 1.1× 230 7.1k
Takao Hayakawa Japan 48 6.1k 1.3× 2.5k 1.0× 1.4k 1.9× 387 0.7× 1.1k 2.1× 284 9.2k
Markku Varjosalo Finland 39 4.3k 0.9× 802 0.3× 815 1.2× 414 0.8× 475 0.9× 152 6.1k
Chava Kimchi‐Sarfaty United States 26 3.3k 0.7× 1.1k 0.5× 1.6k 2.4× 392 0.7× 392 0.7× 88 6.0k
William Landschulz United States 22 5.6k 1.2× 1.5k 0.6× 875 1.3× 587 1.1× 1.0k 1.9× 33 8.5k

Countries citing papers authored by Dan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Wang. A scholar is included among the top collaborators of Dan Wang 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 Dan Wang. Dan Wang 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.
Wang, Jinguang, et al.. (2025). Extracellular vesicles in reproductive biology and disorders: a comprehensive review. Frontiers in Endocrinology. 16. 1550068–1550068. 5 indexed citations
3.
Liang, Shun‐Qing, Andrew W. Navia, Michele Martinez, et al.. (2024). AAV5 Delivery of CRISPR/Cas9 Mediates Genome Editing in the Lungs of Young Rhesus Monkeys. Human Gene Therapy. 35(19-20). 814–824. 5 indexed citations
4.
Zhang, Menghua, et al.. (2024). Genome-Wide Association Study on Body Conformation Traits in Xinjiang Brown Cattle. International Journal of Molecular Sciences. 25(19). 10557–10557. 5 indexed citations
5.
Liu, Chuan, et al.. (2024). PAMPHLET: PAM Prediction HomoLogous-Enhancement Toolkit for precise PAM prediction in CRISPR-Cas systems. Journal of genetics and genomics. 52(2). 258–268. 1 indexed citations
6.
Zhu, Qingtian, Chenchen Yuan, Dan Wang, et al.. (2024). The TRIM28/miR133a/CD47 axis acts as a potential therapeutic target in pancreatic necrosis by impairing efferocytosis. Molecular Therapy. 32(9). 3025–3041. 4 indexed citations
7.
Zhang, Qian, Yu Chen, Dan Wang, et al.. (2024). α-Synuclein-mediated mitochondrial translocation of cofilin-1 leads to oxidative stress and cell apoptosis in PD. Frontiers in Neuroscience. 18. 1420507–1420507. 2 indexed citations
8.
Brown, Robert H., et al.. (2023). Rescue of GM3 synthase deficiency by spatially controlled, rAAV-mediated ST3GAL5 delivery. JCI Insight. 8(9). 2 indexed citations
9.
Arbab, Mandana, Żaneta Matuszek, Gregory A. Newby, et al.. (2023). Base editing rescue of spinal muscular atrophy in cells and in mice. Science. 380(6642). eadg6518–eadg6518. 74 indexed citations
10.
Yu, Ying, Cuiyun Li, Wei Li, et al.. (2022). Neurodevelopmental disorders and anti-epileptic treatment in a patient with a SATB1 mutation: A case report. Frontiers in Pediatrics. 10. 931667–931667. 3 indexed citations
11.
Wang, Zaozao, Bin Kang, Qianqian Gao, et al.. (2021). Quadruple‐editing of the MAPK and PI3K pathways effectively blocks the progression of KRAS‐mutated colorectal cancer cells. Cancer Science. 112(9). 3895–3910. 8 indexed citations
12.
Ibraheim, Raed, Phillip W.L. Tai, Aamir Mir, et al.. (2021). Self-inactivating, all-in-one AAV vectors for precision Cas9 genome editing via homology-directed repair in vivo. Nature Communications. 12(1). 6267–6267. 80 indexed citations
13.
Sun, Yunmei, Yibo Wang, Yongyan Zhang, et al.. (2021). Dual activities of ACC synthase: Novel clues regarding the molecular evolution of ACS genes. Science Advances. 7(46). eabg8752–eabg8752. 27 indexed citations
14.
Li, Minshu, Xiuping Li, Dan Wang, et al.. (2021). Inhibition of exosome release augments neuroinflammation following intracerebral hemorrhage. The FASEB Journal. 35(6). e21617–e21617. 20 indexed citations
15.
Wang, Dan, Hui Tang, Jianfeng Liu, et al.. (2020). Rapid epistatic mixed-model association studies by controlling multiple polygenic effects. Bioinformatics. 36(19). 4833–4837. 23 indexed citations
16.
Ning, Chao, Dan Wang, Lei Zhou, et al.. (2019). Efficient multivariate analysis algorithms for longitudinal genome-wide association studies. Bioinformatics. 35(23). 4879–4885. 21 indexed citations
17.
Kano, Motohiro, LiHua Zhang, Hatice D. Saatcioglu, et al.. (2017). AMH/MIS as a contraceptive that protects the ovarian reserve during chemotherapy. Proceedings of the National Academy of Sciences. 114(9). E1688–E1697. 150 indexed citations
18.
Yuan, Baoying, Xingwen Wang, Dan Wang, et al.. (2015). High scavenger receptor class B type I expression is related to tumor aggressiveness and poor prognosis in breast cancer. Tumor Biology. 37(3). 3581–3588. 57 indexed citations
19.
Mhawech‐Fauceglia, Paulette, Dan Wang, Joshua P. Kesterson, et al.. (2011). Gene Expression Profiles in Stage I Uterine Serous Carcinoma in Comparison to Grade 3 and Grade 1 Stage I Endometrioid Adenocarcinoma. PLoS ONE. 6(3). e18066–e18066. 28 indexed citations
20.
Yang, Jing, Mingfeng Yang, Dan Wang, Fan Chen, & Shihua Shen. (2010). JcDof1, a Dof transcription factor gene, is associated with the light-mediated circadian clock inJatropha curcas. Physiologia Plantarum. 139(3). 324–34. 27 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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