Guo‐Wei Wei

4.9k total citations
85 papers, 3.2k citations indexed

About

Guo‐Wei Wei is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics. According to data from OpenAlex, Guo‐Wei Wei has authored 85 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 47 papers in Computational Theory and Mathematics and 16 papers in Biophysics. Recurrent topics in Guo‐Wei Wei's work include Topological and Geometric Data Analysis (31 papers), Computational Drug Discovery Methods (24 papers) and Protein Structure and Dynamics (15 papers). Guo‐Wei Wei is often cited by papers focused on Topological and Geometric Data Analysis (31 papers), Computational Drug Discovery Methods (24 papers) and Protein Structure and Dynamics (15 papers). Guo‐Wei Wei collaborates with scholars based in United States, China and Singapore. Guo‐Wei Wei's co-authors include Zixuan Cang, Rui Wang, Kaifu Gao, Duc Duy Nguyen, Kelin Xia, Jiahui Chen, Menglun Wang, Lin Mu, Dong Chen and Yuta Hozumi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Nature Communications.

In The Last Decade

Guo‐Wei Wei

82 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guo‐Wei Wei United States 30 1.7k 1.6k 500 483 309 85 3.2k
Sheng‐You Huang China 34 1.8k 1.1× 4.3k 2.7× 506 1.0× 848 1.8× 316 1.0× 116 6.0k
Jiahui Chen China 27 491 0.3× 920 0.6× 1.4k 2.7× 189 0.4× 220 0.7× 81 2.7k
Ali Rana Atılgan Türkiye 27 748 0.4× 4.4k 2.7× 207 0.4× 1.7k 3.5× 66 0.2× 91 5.9k
Mark A. Moraes United States 6 827 0.5× 1.8k 1.1× 294 0.6× 297 0.6× 129 0.4× 7 3.3k
John Karanicolas United States 29 463 0.3× 3.6k 2.2× 107 0.2× 988 2.0× 121 0.4× 66 4.3k
Daisuke Kihara United States 45 1.1k 0.6× 4.7k 2.9× 157 0.3× 1.7k 3.5× 109 0.4× 233 5.9k
Yi Li United States 30 859 0.5× 395 0.2× 29 0.1× 205 0.4× 108 0.3× 165 3.5k
Dong Xu China 26 368 0.2× 2.4k 1.5× 155 0.3× 592 1.2× 134 0.4× 89 3.8k
Ahmet Bakan Türkiye 22 361 0.2× 2.0k 1.2× 115 0.2× 433 0.9× 147 0.5× 52 3.4k

Countries citing papers authored by Guo‐Wei Wei

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Wei Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo‐Wei Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Guo‐Wei Wei. A scholar is included among the top collaborators of Guo‐Wei 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 Guo‐Wei Wei. Guo‐Wei 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.
Wei, Guo‐Wei, et al.. (2025). Persistent Topological Laplacians—A Survey. Mathematics. 13(2). 208–208. 10 indexed citations
2.
Hozumi, Yuta, et al.. (2025). CAP: Commutative algebra prediction of protein-nucleic acid binding affinities. Machine Learning Science and Technology. 6(4). 45068–45068.
3.
Wang, Chunmei, et al.. (2025). PLNet : Persistent Laplacian neural network for protein–protein binding free energy prediction. Protein Science. 34(12). e70377–e70377. 1 indexed citations
4.
Wee, JunJie, Jiahui Chen, & Guo‐Wei Wei. (2024). Preventing future zoonosis: SARS-CoV-2 mutations enhance human–animal cross-transmission. Computers in Biology and Medicine. 182. 109101–109101. 6 indexed citations
5.
Hozumi, Yuta, et al.. (2024). K-nearest-neighbors induced topological PCA for single cell RNA-sequence data analysis. Computers in Biology and Medicine. 175. 108497–108497. 11 indexed citations
6.
Lü, Ke, Long Chen, Yueying Zhu, et al.. (2024). Transformer technology in molecular science. Wiley Interdisciplinary Reviews Computational Molecular Science. 14(4). 22 indexed citations
7.
Feng, Hongsong, et al.. (2023). Machine-learning analysis of opioid use disorder informed by MOR, DOR, KOR, NOR and ZOR-based interactome networks. Computers in Biology and Medicine. 157. 106745–106745. 12 indexed citations
8.
Feng, Hongsong, Jian Jiang, & Guo‐Wei Wei. (2023). Machine-learning repurposing of DrugBank compounds for opioid use disorder. Computers in Biology and Medicine. 160. 106921–106921. 20 indexed citations
9.
Gao, Kaifu, et al.. (2023). Structural insights into the elevator-type transport mechanism of a bacterial ZIP metal transporter. Nature Communications. 14(1). 385–385. 16 indexed citations
10.
Chen, Jiahui, et al.. (2023). Topological deep learning based deep mutational scanning. Computers in Biology and Medicine. 164. 107258–107258. 12 indexed citations
11.
Sun, Aixia, Christiane L. Mallett, Saumya Nigam, et al.. (2023). Deep learning-enabled quantification of simultaneous PET/MRI for cell transplantation monitoring. iScience. 26(7). 107083–107083. 3 indexed citations
12.
Wu, Jie, et al.. (2022). Aspects of topological approaches for data science. PubMed. 4(2). 165–165. 13 indexed citations
13.
Wang, Rui, et al.. (2021). HERMES: Persistent spectral graph software. PubMed. 3(1). 67–97. 22 indexed citations
14.
Du, Yuzhe, Yoshiko Nomura, Rong Gao, et al.. (2021). Charge substitutions at the voltage-sensing module of domain III enhance actions of site-3 and site-4 toxins on an insect sodium channel. Insect Biochemistry and Molecular Biology. 137. 103625–103625. 2 indexed citations
15.
Wang, Rui, Jiahui Chen, Kaifu Gao, & Guo‐Wei Wei. (2021). Vaccine-escape and fast-growing mutations in the United Kingdom, the United States, Singapore, Spain, India, and other COVID-19-devastated countries. Genomics. 113(4). 2158–2170. 126 indexed citations
16.
Chen, Jiahui, et al.. (2020). Evolutionary de Rham-Hodge method. Discrete and Continuous Dynamical Systems - B. 26(7). 3785–3821. 41 indexed citations
17.
Qin, Hong, Guo‐Wei Wei, Ippei Sakamaki, et al.. (2017). Novel BAFF-Receptor Antibody to Natively Folded Recombinant Protein Eliminates Drug-Resistant Human B-cell Malignancies In Vivo. Clinical Cancer Research. 24(5). 1114–1123. 24 indexed citations
18.
Qin, Hong, Zhenyuan Dong, Wesley A. Cheng, et al.. (2017). CAR-T Cells Targeting BAFF-Receptor for B-Cell Malignancies: A Potential Alternative to CD19. Blood. 130. 3180–3180. 2 indexed citations
19.
Mu, Lin, Kelin Xia, & Guo‐Wei Wei. (2016). Geometric and electrostatic modeling using molecular rigidity functions. Journal of Computational and Applied Mathematics. 313. 18–37. 7 indexed citations
20.
Qin, Hong, et al.. (2015). Targeting tumor-associated myeloid cells for cancer immunotherapy. OncoImmunology. 4(3). e983961–e983961. 8 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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