Zichen Wang

29.7k total citations · 5 hit papers
90 papers, 15.4k citations indexed

About

Zichen Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Zichen Wang has authored 90 papers receiving a total of 15.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 9 papers in Artificial Intelligence. Recurrent topics in Zichen Wang's work include Bioinformatics and Genomic Networks (15 papers), Computational Drug Discovery Methods (11 papers) and Gene expression and cancer classification (8 papers). Zichen Wang is often cited by papers focused on Bioinformatics and Genomic Networks (15 papers), Computational Drug Discovery Methods (11 papers) and Gene expression and cancer classification (8 papers). Zichen Wang collaborates with scholars based in United States, China and Australia. Zichen Wang's co-authors include Avi Ma’ayan, Qiaonan Duan, Neil R. Clark, Nicolas Fernandez, Andrew D. Rouillard, Yan Kou, Gregory W. Gundersen, Caroline D. Monteiro, Christopher M. Tan and Edward Y. Chen and has published in prestigious journals such as Science, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Zichen Wang

84 papers receiving 15.3k citations

Hit Papers

Enrichr: a comprehensive gene set enrichment analysis web... 2013 2026 2017 2021 2016 2013 2016 2019 2023 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zichen Wang United States 32 9.2k 2.4k 2.2k 1.6k 1.5k 90 15.4k
Alberto Santos Denmark 23 10.2k 1.1× 2.8k 1.2× 1.5k 0.7× 1.4k 0.9× 1.4k 1.0× 30 16.3k
Qiaonan Duan United States 12 7.5k 0.8× 2.0k 0.8× 2.2k 1.0× 1.3k 0.8× 1.2k 0.8× 20 12.7k
Sumit K. Chanda United States 36 8.2k 0.9× 2.0k 0.8× 2.5k 1.1× 1.7k 1.1× 1.2k 0.8× 82 13.8k
Alexander Lachmann United States 26 7.9k 0.9× 2.0k 0.8× 1.7k 0.8× 1.3k 0.8× 1.1k 0.8× 46 12.1k
Andrea Franceschini Switzerland 8 9.8k 1.1× 2.2k 0.9× 1.4k 0.6× 1.1k 0.7× 1.4k 0.9× 11 14.7k
Min Wang China 66 7.8k 0.9× 2.3k 1.0× 2.0k 0.9× 2.4k 1.5× 808 0.6× 417 14.0k
Li Li China 57 8.9k 1.0× 2.8k 1.2× 1.6k 0.7× 1.9k 1.2× 841 0.6× 493 13.6k
Annika L. Gable Switzerland 8 12.5k 1.4× 3.3k 1.4× 2.4k 1.1× 2.1k 1.3× 1.8k 1.2× 8 21.0k
David Lyon United States 26 11.5k 1.3× 2.8k 1.2× 2.1k 1.0× 2.0k 1.3× 1.5k 1.1× 51 19.1k
Max W. Chang United States 23 6.4k 0.7× 1.7k 0.7× 1.7k 0.8× 1.2k 0.8× 891 0.6× 40 11.8k

Countries citing papers authored by Zichen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zichen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zichen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zichen Wang. A scholar is included among the top collaborators of Zichen 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 Zichen Wang. Zichen 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, Zichen, Liren Jiang, Yu Shang, et al.. (2025). Genetic and pathogenic characteristics of a novel recombinant GI-19 infectious bronchitis virus strain isolated from northeastern China. Poultry Science. 104(4). 104985–104985. 2 indexed citations
2.
Zhang, Hong, Xi Liu, Zichen Wang, et al.. (2025). Centimeter‐Scale Self‐Assembling Tendon Organoids Drive Tissue Regeneration. Advanced Science. 12(43). e09453–e09453.
3.
Webb, Bryn D., D Corrigan, Lisong Shi, et al.. (2024). An algorithm to identify patients aged 0–3 with rare genetic disorders. Orphanet Journal of Rare Diseases. 19(1). 183–183.
4.
Zheng, Da, Qi Zhu, Zichen Wang, et al.. (2024). GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. 6356–6367. 3 indexed citations
5.
Wang, Zichen, Ryan Brand, Jared Adolf‐Bryfogle, et al.. (2024). EGGNet, a Generalizable Geometric Deep Learning Framework for Protein Complex Pose Scoring. ACS Omega. 9(7). 7471–7479. 2 indexed citations
6.
7.
Chen, Shengquan, Nan Jiang, Zheng Wu, & Zichen Wang. (2023). JSVulExplorer: a JavaScript vulnerability detection model based on transfer learning.
8.
Han, Xuesong, et al.. (2023). Eurasian otters prefer to prey on religious released non-native fish on the Qinghai-Tibetan Plateau. Current Zoology. 70(4). 472–479. 1 indexed citations
9.
Wang, Zichen, et al.. (2023). VertU: universal multilocus primer sets for eDNA metabarcoding of vertebrate diversity, evaluated by both artificial and natural cases. Frontiers in Ecology and Evolution. 11. 15 indexed citations
10.
Jin, Mingchao, et al.. (2023). Mesenchymal stem cells and macrophages and their interactions in tendon-bone healing. Journal of Orthopaedic Translation. 39. 63–73. 72 indexed citations breakdown →
11.
Wang, Zichen, Xin Wang, & Chen Zhao. (2023). Event-Triggered Containment Control for Nonlinear Multiagent Systems via Reinforcement Learning. IEEE Transactions on Circuits & Systems II Express Briefs. 70(8). 2904–2908. 8 indexed citations
12.
Kuang, Geling, Zichen Wang, Jiandong Cui, et al.. (2023). Immobilization of lipase on hydrophobic MOF synthesized simultaneously with oleic acid and application in hydrolysis of natural oils for improving unsaturated fatty acid production. International Journal of Biological Macromolecules. 242(Pt 2). 124807–124807. 75 indexed citations
13.
Zheutlin, Amanda B., Luciana Vieira, Shilong Li, et al.. (2021). Improving postpartum hemorrhage risk prediction using longitudinal electronic medical records. Journal of the American Medical Informatics Association. 29(2). 296–305. 24 indexed citations
14.
Zheutlin, Amanda B., Luciana Vieira, Shilong Li, et al.. (2021). A comprehensive digital phenotype for postpartum hemorrhage. Journal of the American Medical Informatics Association. 29(2). 321–328. 9 indexed citations
15.
Guan, Su, Kun Liu, Zimeng Liu, et al.. (2021). UPLC–Q-TOF/MS-Based Plasma and Urine Metabolomics Contribute to the Diagnosis of Sepsis. Journal of Proteome Research. 21(1). 209–219. 12 indexed citations
16.
Heitman, Nicholas, Rachel Sennett, Ka‐Wai Mok, et al.. (2019). Dermal sheath contraction powers stem cell niche relocation during hair cycle regression. Science. 367(6474). 161–166. 74 indexed citations
17.
Breen, Michael S., Süreyya Özcan, Jordan M. Ramsey, et al.. (2018). Temporal proteomic profiling of postnatal human cortical development. Translational Psychiatry. 8(1). 267–267. 19 indexed citations
18.
Wang, Zichen, Alexander Lachmann, Alexandra Keenan, & Avi Ma’ayan. (2018). L1000FWD: fireworks visualization of drug-induced transcriptomic signatures. Bioinformatics. 34(12). 2150–2152. 114 indexed citations
19.
Mok, Ka‐Wai, Nivedita Saxena, Nicholas Heitman, et al.. (2018). Dermal Condensate Niche Fate Specification Occurs Prior to Formation and Is Placode Progenitor Dependent. Developmental Cell. 48(1). 32–48.e5. 76 indexed citations
20.
Kuleshov, Maxim V., Matthew R. Jones, Andrew D. Rouillard, et al.. (2016). Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Research. 44(W1). W90–W97. 6065 indexed citations breakdown →

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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