Hanwen Wang

1.0k total citations
37 papers, 684 citations indexed

About

Hanwen Wang is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Hanwen Wang has authored 37 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 14 papers in Molecular Biology and 11 papers in Cancer Research. Recurrent topics in Hanwen Wang's work include Cancer Immunotherapy and Biomarkers (14 papers), Cancer Genomics and Diagnostics (9 papers) and Mathematical Biology Tumor Growth (8 papers). Hanwen Wang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (14 papers), Cancer Genomics and Diagnostics (9 papers) and Mathematical Biology Tumor Growth (8 papers). Hanwen Wang collaborates with scholars based in United States, China and Canada. Hanwen Wang's co-authors include Aleksander S. Popel, Richard J. Sové, Huilin Ma, Chen Zhao, Leisha A. Emens, Cesar A. Santa‐Maria, Mohammad Jafarnejad, Yu Zhang, Tianxu Fang and Zhitong Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Hanwen Wang

34 papers receiving 676 citations

Author Peers

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

Author Last Decade Papers Cites
Hanwen Wang 303 210 172 146 136 37 684
Mohammad Jafarnejad 313 1.0× 190 0.9× 77 0.4× 114 0.8× 69 0.5× 17 595
Antje‐Christine Walz 349 1.2× 402 1.9× 166 1.0× 153 1.0× 84 0.6× 34 892
Verena Becker 189 0.6× 474 2.3× 31 0.2× 79 0.5× 95 0.7× 20 789
Kuan‐lin Huang 171 0.6× 315 1.5× 30 0.2× 86 0.6× 168 1.2× 50 777
Federica Eduati 180 0.6× 390 1.9× 24 0.1× 68 0.5× 116 0.9× 29 721
Yo Sup Moon 163 0.5× 308 1.5× 21 0.1× 28 0.2× 178 1.3× 5 732
Alison Betts 582 1.9× 596 2.8× 769 4.5× 296 2.0× 47 0.3× 31 1.4k
Jiguang Bao 108 0.4× 295 1.4× 29 0.2× 55 0.4× 134 1.0× 82 1.2k
Hamidreza Aboulkheyr Es 318 1.0× 277 1.3× 32 0.2× 85 0.6× 187 1.4× 27 825
Orit Lavi 207 0.7× 314 1.5× 28 0.2× 38 0.3× 147 1.1× 15 593

Countries citing papers authored by Hanwen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hanwen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanwen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hanwen Wang. A scholar is included among the top collaborators of Hanwen 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 Hanwen Wang. Hanwen 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.
Chen, Mo, Tianxu Fang, Yueyang Deng, et al.. (2025). RSL3-loaded nanoparticles amplify the therapeutic potential of cold atmospheric plasma. Journal of Nanobiotechnology. 23(1). 136–136. 6 indexed citations
2.
Wang, Hanwen, Atul Deshpande, Ravi Varadhan, et al.. (2024). Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade. Proceedings of the National Academy of Sciences. 121(45). e2410911121–e2410911121. 4 indexed citations
3.
Wang, Hanwen, et al.. (2024). From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling. npj Digital Medicine. 7(1). 189–189. 35 indexed citations
4.
Wang, Hanwen, et al.. (2024). Identifying biomarkers for treatment of uveal melanoma by T cell engager using a QSP model. npj Systems Biology and Applications. 10(1). 108–108. 4 indexed citations
5.
Wang, Hanwen, et al.. (2024). Quantitative systems pharmacology modeling of macrophage‐targeted therapy combined with PD‐L1 inhibition in advanced NSCLC. Clinical and Translational Science. 17(6). e13811–e13811. 6 indexed citations
6.
Deshpande, Atul, Hanwen Wang, Haoyang Mi, et al.. (2024). Integration of Clinical Trial Spatial Multiomics Analysis and Virtual Clinical Trials Enables Immunotherapy Response Prediction and Biomarker Discovery. Cancer Research. 84(16). 2734–2748. 13 indexed citations
7.
Wang, Hanwen, et al.. (2024). Quantitative Systems Pharmacology Modeling in Immuno-Oncology: Hypothesis Testing, Dose Optimization, and Efficacy Prediction. Handbook of experimental pharmacology. 289. 261–284. 1 indexed citations
8.
Wang, Hanwen, et al.. (2024). Leveraging multi-omics data to empower quantitative systems pharmacology in immuno-oncology. Briefings in Bioinformatics. 25(3). 8 indexed citations
9.
Wang, Hanwen, et al.. (2023). Generating immunogenomic data-guided virtual patients using a QSP model to predict response of advanced NSCLC to PD-L1 inhibition. npj Precision Oncology. 7(1). 55–55. 19 indexed citations
10.
Wang, Hanwen, et al.. (2023). A transcriptome-informed QSP model of metastatic triple-negative breast cancer identifies predictive biomarkers for PD-1 inhibition. Science Advances. 9(26). eadg0289–eadg0289. 16 indexed citations
11.
Wang, Hanwen, et al.. (2023). Eliciting the antitumor immune response with a conditionally activated PD‐L1 targeting antibody analyzed with a quantitative systems pharmacology model. CPT Pharmacometrics & Systems Pharmacology. 13(1). 93–105. 8 indexed citations
12.
Hou, Qinghua, Baorong Chen, Hanwen Wang, et al.. (2023). Identification of molecular subgroups and establishment of risk model based on the response to oxidative stress to predict overall survival of patients with lung adenocarcinoma. European journal of medical research. 28(1). 333–333. 3 indexed citations
13.
Wang, Hanwen, et al.. (2023). Abstract 5697: Predicting response to PD-L1 inhibition in NSCLC using a quantitative systems pharmacology model guided by immunogenomic data. Cancer Research. 83(7_Supplement). 5697–5697. 1 indexed citations
14.
Wang, Hanwen, Chen Zhao, Cesar A. Santa‐Maria, Leisha A. Emens, & Aleksander S. Popel. (2022). Dynamics of tumor-associated macrophages in a quantitative systems pharmacology model of immunotherapy in triple-negative breast cancer. iScience. 25(8). 104702–104702. 31 indexed citations
15.
Gong, Chang, Hanwen Wang, Richard J. Sové, et al.. (2022). Simulations of tumor growth and response to immunotherapy by coupling a spatial agent-based model with a whole-patient quantitative systems pharmacology model. PLoS Computational Biology. 18(7). e1010254–e1010254. 36 indexed citations
16.
Sové, Richard J., et al.. (2022). Virtual clinical trials of anti-PD-1 and anti-CTLA-4 immunotherapy in advanced hepatocellular carcinoma using a quantitative systems pharmacology model. Journal for ImmunoTherapy of Cancer. 10(11). e005414–e005414. 32 indexed citations
17.
Wang, Hanwen, Huilin Ma, Richard J. Sové, Leisha A. Emens, & Aleksander S. Popel. (2021). Quantitative systems pharmacology model predictions for efficacy of atezolizumab and nab-paclitaxel in triple-negative breast cancer. Journal for ImmunoTherapy of Cancer. 9(2). e002100–e002100. 38 indexed citations
18.
Gong, Chang, Hanwen Wang, Emily F. Davis-Marcisak, et al.. (2021). Integrating single cell sequencing with a spatial quantitative systems pharmacology model spQSP for personalized prediction of triple-negative breast cancer immunotherapy response. SHILAP Revista de lepidopterología. 1-2. 100002–100002. 22 indexed citations
19.
Sové, Richard J., Mohammad Jafarnejad, Chen Zhao, et al.. (2020). QSP‐IO: A Quantitative Systems Pharmacology Toolbox for Mechanistic Multiscale Modeling for Immuno‐Oncology Applications. CPT Pharmacometrics & Systems Pharmacology. 9(9). 484–497. 43 indexed citations
20.
Wang, Hanwen, Oleg Milberg, Imke H. Bartelink, et al.. (2019). In silico simulation of a clinical trial with anti-CTLA-4 and anti-PD-L1 immunotherapies in metastatic breast cancer using a systems pharmacology model. Royal Society Open Science. 6(5). 190366–190366. 51 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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