Zhi Wei

20.5k total citations · 1 hit paper
259 papers, 6.2k citations indexed

About

Zhi Wei is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Zhi Wei has authored 259 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 42 papers in Genetics and 25 papers in Artificial Intelligence. Recurrent topics in Zhi Wei's work include Gene expression and cancer classification (20 papers), Genetic Associations and Epidemiology (20 papers) and RNA modifications and cancer (16 papers). Zhi Wei is often cited by papers focused on Gene expression and cancer classification (20 papers), Genetic Associations and Epidemiology (20 papers) and RNA modifications and cancer (16 papers). Zhi Wei collaborates with scholars based in United States, China and Saudi Arabia. Zhi Wei's co-authors include Tian Tian, Håkon Håkonarson, Hongzhe Li, Michael D. Feldman, Sagarika Banerjee, Natalie Shih, Jie Zhang, Turki Turki, Kai Wang and Meenhard Herlyn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Zhi Wei

238 papers receiving 6.1k citations

Hit Papers

Robust prediction of resp... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Zhi Wei 3.2k 966 908 838 652 259 6.2k
Jörg Rahnenführer 3.9k 1.2× 627 0.6× 748 0.8× 867 1.0× 426 0.7× 161 7.0k
Balasubramanian Narasimhan 2.4k 0.8× 600 0.6× 687 0.8× 733 0.9× 434 0.7× 67 5.5k
Hans A. Kestler 3.4k 1.1× 534 0.6× 917 1.0× 798 1.0× 634 1.0× 264 7.2k
Martin Hofmann‐Apitius 5.3k 1.6× 922 1.0× 1.3k 1.4× 676 0.8× 757 1.2× 290 11.6k
Jason Li 2.2k 0.7× 605 0.6× 1.0k 1.1× 1.1k 1.4× 418 0.6× 223 6.2k
Jan Komorowski 4.2k 1.3× 747 0.8× 566 0.6× 1.3k 1.5× 449 0.7× 224 6.9k
Marcel Reinders 5.9k 1.8× 1.1k 1.1× 636 0.7× 1.0k 1.2× 633 1.0× 298 11.1k
TL Lee 2.7k 0.9× 629 0.7× 635 0.7× 1.0k 1.2× 567 0.9× 136 5.3k
Shu‐Jen Chen 2.3k 0.7× 964 1.0× 843 0.9× 744 0.9× 274 0.4× 152 5.9k
Jun S. Wei 3.4k 1.1× 427 0.4× 730 0.8× 1.1k 1.3× 299 0.5× 92 5.4k

Countries citing papers authored by Zhi Wei

Since Specialization
Citations

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

Fields of papers citing papers by Zhi Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Zhi Wei. A scholar is included among the top collaborators of Zhi Wei 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 Zhi Wei. Zhi Wei 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.
Zha, Peijia, et al.. (2025). Trust in Information Sources and COVID‐19 Vaccine Uptake. Public Health Challenges. 4(4). e70145–e70145.
2.
Bonam, Srinivasa Reddy, Yuejin Liang, Xuxiang Zhang, et al.. (2024). Innate and Adaptive Immune Parameters following mRNA Vaccination in Mice. Vaccines. 12(5). 543–543. 7 indexed citations
3.
Yu, Qian, Ruizhuo Ning, Aoxing Liu, et al.. (2024). 1296P A phase II study to evaluate the efficacy and safety of BB-1701 in advanced or metastatic NSCLC patients with HER2 mutation/amplification. Annals of Oncology. 35. S825–S825. 1 indexed citations
4.
Wang, Haidong, et al.. (2024). Decoding Critical Targets and Signaling Pathways in EBV-Mediated Diseases Using Large Language Models. Viruses. 16(11). 1660–1660. 2 indexed citations
5.
Wang, Haozhe, Yue Wang, Bowen Song, et al.. (2024). Statistical modeling of single-cell epitranscriptomics enabled trajectory and regulatory inference of RNA methylation. Cell Genomics. 5(1). 100702–100702. 2 indexed citations
7.
Zhang, Shanshan, Yongtao Zhang, Dan Yang, et al.. (2023). Circ_KIAA0922 regulates Saos-2 cell proliferation and osteogenic differentiation by regulating the miR-148a-3p/SMAD5 axis and activating the TGF-β signaling pathway. Intractable & Rare Diseases Research. 12(4). 222–233. 1 indexed citations
8.
Wei, Zhenyu, Wei Tian, Ziping Ye, et al.. (2023). Simulation study on the optical processes at deep-sea neutrino telescope sites. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1054. 168367–168367. 4 indexed citations
9.
Li, Qiqi, Zhi Wei, Zhen Wang, et al.. (2023). Axial crashworthiness design of double-hat beams with various cross-sections. Engineering Structures. 283. 115916–115916. 8 indexed citations
11.
Rajasekaran, Karthik, Ryan M. Carey, Xiang Lin, et al.. (2021). The microbiome of HPV-positive tonsil squamous cell carcinoma and neck metastasis. Oral Oncology. 117. 105305–105305. 20 indexed citations
12.
Das, Soumyashree, Qiang Feng, Iyshwarya Balasubramanian, et al.. (2021). Colonic healing requires Wnt produced by epithelium as well as Tagln+ and Acta2+ stromal cells. Development. 149(1). 8 indexed citations
13.
Abegaz, Fentaw, François Van Lishout, Jestinah Mahachie John, et al.. (2019). Epistasis Detection in Genome-Wide Screening for Complex Human Diseases in Structured Populations. Open Repository and Bibliography (University of Liège). 2(1). 19–27. 7 indexed citations
14.
Simpkins, Fiona, Kibeom Jang, Hyunho Yoon, et al.. (2018). Dual Src and MEK Inhibition Decreases Ovarian Cancer Growth and Targets Tumor Initiating Stem-Like Cells. Clinical Cancer Research. 24(19). 4874–4886. 57 indexed citations
15.
Zhang, Dongmei, Gao Zhang, Zhongyi Hu, et al.. (2017). Oncogenic RAS Regulates Long Noncoding RNA Orilnc1 in Human Cancer. Cancer Research. 77(14). 3745–3757. 29 indexed citations
16.
Miller, Philip C., Dorraya El‐Ashry, Jun Sun, et al.. (2015). MAPK Activation Predicts Poor Outcome and the MEK Inhibitor, Selumetinib, Reverses Antiestrogen Resistance in ER-Positive High-Grade Serous Ovarian Cancer. Clinical Cancer Research. 22(4). 935–947. 46 indexed citations
17.
Liu, Dawei, et al.. (2014). Investigation on Improved Correlation of CFD and EFD for Supercritical Airfoil. Research Journal of Applied Sciences Engineering and Technology. 7(5). 1007–1011. 1 indexed citations
18.
Zhang, Zhenxi, Anna Maria Pinto, Lili Wan, et al.. (2013). Dysregulation of synaptogenesis genes antecedes motor neuron pathology in spinal muscular atrophy. Proceedings of the National Academy of Sciences. 110(48). 19348–19353. 148 indexed citations
19.
Hu, Haitao, Martin E. Nau, Philip K. Ehrenberg, et al.. (2012). Distinct gene-expression profiles associated with the susceptibility of pathogen-specific CD4 T cells to HIV-1 infection. Blood. 121(7). 1136–1144. 35 indexed citations
20.
Wei, Zhi. (2000). Dynamic response of shape memory alloy system and its vibration control. Chinese Journal of Mechanical Engineering. 13(4). 312–312. 1 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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