Wen Wang

5.7k total citations
72 papers, 1.7k citations indexed

About

Wen Wang is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Wen Wang has authored 72 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Artificial Intelligence. Recurrent topics in Wen Wang's work include Bioinformatics and Genomic Networks (9 papers), Fungal and yeast genetics research (6 papers) and Speech Recognition and Synthesis (5 papers). Wen Wang is often cited by papers focused on Bioinformatics and Genomic Networks (9 papers), Fungal and yeast genetics research (6 papers) and Speech Recognition and Synthesis (5 papers). Wen Wang collaborates with scholars based in United States, China and Canada. Wen Wang's co-authors include Dong‐bao Chen, Shu G. Chen, Luxuan Guo, Robert B. Petersen, Payal N. Gandhi, Chad L. Myers, Amy L. Wilson‐Delfosse, Charles Boone, Michael Costanzo and Chelsey B. Reed and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Wen Wang

68 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Wang United States 25 771 285 212 151 129 72 1.7k
Lu Gan China 23 890 1.2× 125 0.4× 144 0.7× 101 0.7× 135 1.0× 71 2.0k
Satoshi Tsukamoto Japan 21 1.1k 1.5× 56 0.2× 140 0.7× 170 1.1× 114 0.9× 77 2.2k
Eryk Kropiwnicki United States 8 1.4k 1.8× 74 0.3× 193 0.9× 224 1.5× 395 3.1× 10 2.4k
Kyoko Watanabe Japan 20 379 0.5× 71 0.2× 69 0.3× 134 0.9× 36 0.3× 118 1.6k
Fredrik Pettersson Sweden 19 759 1.0× 116 0.4× 691 3.3× 106 0.7× 111 0.9× 42 2.1k
Lixia Lü China 31 1.3k 1.7× 202 0.7× 96 0.5× 167 1.1× 249 1.9× 111 2.5k
Francisco García‐García Spain 31 1.7k 2.3× 72 0.3× 686 3.2× 150 1.0× 455 3.5× 109 3.5k
Daniel Ho United States 17 1.5k 1.9× 93 0.3× 313 1.5× 278 1.8× 181 1.4× 18 2.3k
Ying‐Wooi Wan United States 23 982 1.3× 121 0.4× 358 1.7× 281 1.9× 252 2.0× 51 1.8k
Massimo Alessio Italy 30 1.0k 1.4× 304 1.1× 116 0.5× 295 2.0× 185 1.4× 82 2.8k

Countries citing papers authored by Wen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Wang. A scholar is included among the top collaborators of Wen 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 Wen Wang. Wen 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.
Zhang, Huijie, Guilian Yang, Xi Zhang, et al.. (2025). MAT2A Knockdown Enhances Recombinant Protein Expression in Transgenic CHO Cells Through Regulation of Cell Cycle. Biotechnology and Bioengineering. 122(6). 1461–1471. 1 indexed citations
2.
Zhang, Hefei, et al.. (2025). Systems-level design principles of metabolic rewiring in an animal. Nature. 640(8057). 203–211. 4 indexed citations
3.
Wang, Wen, Shaocheng Zhang, Xue-Fei Cai, et al.. (2024). Affinity molecular assay for detecting Candida albicans using chitin affinity and RPA-CRISPR/Cas12a. Nature Communications. 15(1). 9304–9304. 14 indexed citations
4.
Lyu, Wentao, et al.. (2024). Tracking investigation of archaeal composition and methanogenesis function from parental to offspring pigs. The Science of The Total Environment. 927. 172078–172078. 4 indexed citations
5.
Wang, Wen, et al.. (2024). Carbazomycins I and J, two novel carbazole alkaloids isolated from Saccharopolyspora phattalungensis. Phytochemistry Letters. 60. 1–5. 2 indexed citations
6.
Nanda, Shivani, Marc‐Antoine Jacques, Wen Wang, et al.. (2023). Systems‐level transcriptional regulation of Caenorhabditis elegans metabolism. Molecular Systems Biology. 19(5). e11443–e11443. 11 indexed citations
7.
Shoen, Carolyn, Michelle S DeStefano, Wen Wang, & Michael H. Cynamon. (2023). 2148. In vitro Potency of a Leucyl-tRNA Synthetase Inhibitor, MRX-6038, Against Mycobacterium tuberculosis, Mycobacterium avium, and Mycobacterium abscessus. Open Forum Infectious Diseases. 10(Supplement_2). 1 indexed citations
9.
Li, Jingyuan, et al.. (2022). A hybrid network integrating convolution and transformer for thymoma segmentation. SHILAP Revista de lepidopterología. 3(3). 164–172. 2 indexed citations
10.
Wang, Lei, Wuxiyar Otkur, Aman Wang, et al.. (2022). Norcantharidin overcomes vemurafenib resistance in melanoma by inhibiting pentose phosphate pathway and lipogenesis via downregulating the mTOR pathway. Frontiers in Pharmacology. 13. 906043–906043. 7 indexed citations
11.
Liu, Chang, Jianbo Gao, Jinghui Huang, et al.. (2021). Giraffa camelopardalis. Trends in Genetics. 37(9). 860–861.
12.
Kuzmin, Elena, Benjamin VanderSluis, Alex N. Nguyen Ba, et al.. (2020). Exploring whole-genome duplicate gene retention with complex genetic interaction analysis. Science. 368(6498). 70 indexed citations
13.
Fang, Gang, Wen Wang, Hamed Heydari, et al.. (2019). Discovering genetic interactions bridging pathways in genome-wide association studies. Nature Communications. 10(1). 4274–4274. 49 indexed citations
14.
Ušaj, Matej, Wen Wang, Benjamin VanderSluis, et al.. (2017). TheCellMap.org: A Web-Accessible Database for Visualizing and Mining the Global Yeast Genetic Interaction Network. G3 Genes Genomes Genetics. 7(5). 1539–1549. 84 indexed citations
15.
Wang, Wen, et al.. (2017). Pathway-based discovery of genetic interactions in breast cancer. PLoS Genetics. 13(9). e1006973–e1006973. 24 indexed citations
16.
Mitra, Amit, Holly A.F. Stessman, Robert Schaefer, et al.. (2016). Fine-Mapping of 18q21.1 Locus Identifies Single Nucleotide Polymorphisms Associated with Nonsyndromic Cleft Lip with or without Cleft Palate. Frontiers in Genetics. 7. 88–88. 5 indexed citations
17.
Tang, Qing, Kang Yin, Hongliang Qian, et al.. (2016). Cyclic di-GMP contributes to adaption and virulence of Bacillus thuringiensis through a riboswitch-regulated collagen adhesion protein. Scientific Reports. 6(1). 28807–28807. 29 indexed citations
18.
Eng, Jason W.‐L., Kathleen M. Kokolus, Chelsey B. Reed, et al.. (2014). A nervous tumor microenvironment: the impact of adrenergic stress on cancer cells, immunosuppression, and immunotherapeutic response. Cancer Immunology Immunotherapy. 63(11). 1115–1128. 134 indexed citations
19.
Chen, Jinfeng, Song Yang, Xianghai Zhao, et al.. (2014). Association study of common variations of FBN1 gene and essential hypertension in Han Chinese population. Molecular Biology Reports. 41(4). 2257–2264. 3 indexed citations
20.
Chen, Dong‐bao & Wen Wang. (2013). Human Placental MicroRNAs and Preeclampsia1. Biology of Reproduction. 88(5). 130–130. 138 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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