Zhengpeng Wan

2.0k total citations · 1 hit paper
42 papers, 1.3k citations indexed

About

Zhengpeng Wan is a scholar working on Molecular Biology, Immunology and Biomedical Engineering. According to data from OpenAlex, Zhengpeng Wan has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Immunology and 12 papers in Biomedical Engineering. Recurrent topics in Zhengpeng Wan's work include Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (10 papers) and 3D Printing in Biomedical Research (9 papers). Zhengpeng Wan is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (10 papers) and 3D Printing in Biomedical Research (9 papers). Zhengpeng Wan collaborates with scholars based in United States, China and South Korea. Zhengpeng Wan's co-authors include Roger D. Kamm, Shun Zhang, Wanli Liu, Fei Wang, Chunyang Xiong, Jing Wang, Mark F. Coughlin, Weidong Han, Kai Liu and Sarah E. Shelton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Zhengpeng Wan

39 papers receiving 1.3k citations

Hit Papers

Vascularized organoids on a chip: strategies for engineer... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhengpeng Wan United States 20 449 430 349 244 221 42 1.3k
Jennifer M. Munson United States 19 604 1.3× 482 1.1× 240 0.7× 513 2.1× 239 1.1× 54 1.6k
Jau‐Shiuh Chen Taiwan 17 252 0.6× 386 0.9× 229 0.7× 256 1.0× 139 0.6× 43 1.4k
Rajender Nandigama Germany 12 280 0.6× 426 1.0× 226 0.6× 500 2.0× 134 0.6× 21 1.3k
J. Matthew Barnes United States 14 294 0.7× 412 1.0× 116 0.3× 379 1.6× 353 1.6× 21 1.2k
Weiyang Jin China 12 149 0.3× 320 0.7× 318 0.9× 219 0.9× 254 1.1× 19 922
Aaron S. Meyer United States 17 156 0.3× 445 1.0× 247 0.7× 263 1.1× 164 0.7× 44 1000
Shaoying Lu United States 24 364 0.8× 823 1.9× 151 0.4× 312 1.3× 639 2.9× 49 1.7k
Jennifer Mataraza United States 14 265 0.6× 662 1.5× 348 1.0× 330 1.4× 186 0.8× 24 1.4k
Amandine Hurbin France 25 236 0.5× 1.1k 2.5× 156 0.4× 429 1.8× 123 0.6× 44 1.9k
Matthias Mehling Switzerland 25 352 0.8× 977 2.3× 841 2.4× 445 1.8× 151 0.7× 47 2.7k

Countries citing papers authored by Zhengpeng Wan

Since Specialization
Citations

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

Fields of papers citing papers by Zhengpeng Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhengpeng Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Zhengpeng Wan. A scholar is included among the top collaborators of Zhengpeng Wan 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 Zhengpeng Wan. Zhengpeng Wan 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.
Cambria, Elena, Adriana Blazeski, Mark F. Coughlin, et al.. (2025). Long-term physiological flow rescues regressed microvascular networks and increases their longevity. PubMed. 2(1). 24–24.
2.
Wan, Zhengpeng, Shun Zhang, Liling Xu, et al.. (2024). Transmural Flow Upregulates PD‐L1 Expression in Microvascular Networks. Advanced Science. 11(26). e2400921–e2400921. 3 indexed citations
3.
Spitz, Sarah, Zhengpeng Wan, Manuel Levy, et al.. (2024). Deep and dynamic metabolic and structural imaging in living tissues. Science Advances. 10(50). eadp2438–eadp2438. 5 indexed citations
4.
Nguyen, Huu Tuan, Mouhita Humayun, Nadia Gurvich, et al.. (2024). Patient-specific vascularized tumor model: Blocking monocyte recruitment with multispecific antibodies targeting CCR2 and CSF-1R. Biomaterials. 312. 122731–122731. 17 indexed citations
5.
Richards, Alexsia, Andrew Khalil, Max Friesen, et al.. (2024). SARS-CoV-2 infection of human pluripotent stem cell-derived vascular cells reveals smooth muscle cells as key mediators of vascular pathology during infection. Nature Communications. 15(1). 10754–10754. 2 indexed citations
7.
Offeddu, Giovanni S., Elena Cambria, Sarah E. Shelton, et al.. (2024). Personalized Vascularized Models of Breast Cancer Desmoplasia Reveal Biomechanical Determinants of Drug Delivery to the Tumor. Advanced Science. 11(38). e2402757–e2402757. 15 indexed citations
8.
Rustenhoven, Justin, Steffen E. Storck, Taitea Dykstra, et al.. (2023). Age-related alterations in meningeal immunity drive impaired CNS lymphatic drainage. The Journal of Experimental Medicine. 220(7). 53 indexed citations
9.
Chen, Sophia, et al.. (2023). Impact of Fibrinogen, Fibrin Thrombi, and Thrombin on Cancer Cell Extravasation Using In Vitro Microvascular Networks. Advanced Healthcare Materials. 12(19). e2202984–e2202984. 18 indexed citations
10.
Wan, Zhengpeng, Shun Zhang, Mark F. Coughlin, et al.. (2022). A Robust Method for Perfusable Microvascular Network Formation In Vitro. Small Methods. 6(6). e2200143–e2200143. 39 indexed citations
11.
Wan, Zhengpeng, Mark F. Coughlin, Shun Zhang, et al.. (2022). New Strategy for Promoting Vascularization in Tumor Spheroids in a Microfluidic Assay. Advanced Healthcare Materials. 12(14). e2201784–e2201784. 53 indexed citations
12.
13.
Offeddu, Giovanni S., et al.. (2021). The cancer glycocalyx mediates intravascular adhesion and extravasation during metastatic dissemination. Communications Biology. 4(1). 255–255. 55 indexed citations
14.
Wan, Zhengpeng, Shun Zhang, Sarah E. Shelton, et al.. (2021). A robust vasculogenic microfluidic model using human immortalized endothelial cells and Thy1 positive fibroblasts. Biomaterials. 276. 121032–121032. 31 indexed citations
15.
Zhang, Shun, Zhengpeng Wan, & Roger D. Kamm. (2021). Vascularized organoids on a chip: strategies for engineering organoids with functional vasculature. Lab on a Chip. 21(3). 473–488. 210 indexed citations breakdown →
16.
Wan, Zhengpeng, et al.. (2019). B cell mechanosensing: A mechanistic overview. Advances in immunology. 144. 23–63. 9 indexed citations
17.
Lin, Feng, Zhengpeng Wan, Xiaolin Sun, et al.. (2018). Profiling the origin, dynamics, and function of traction force in B cell activation. Science Signaling. 11(542). 66 indexed citations
18.
Xu, Liling, Gen Li, Jing Wang, et al.. (2014). Through an ITIM-Independent Mechanism the FcγRIIB Blocks B Cell Activation by Disrupting the Colocalized Microclustering of the B Cell Receptor and CD19. The Journal of Immunology. 192(11). 5179–5191. 28 indexed citations
19.
Wan, Zhengpeng, Shaosen Zhang, Yilin Fan, et al.. (2013). B Cell Activation Is Regulated by the Stiffness Properties of the Substrate Presenting the Antigens. The Journal of Immunology. 190(9). 4661–4675. 105 indexed citations
20.
Perkumas, Kristin, et al.. (2006). Myocilin–Associated Exosomes In Human Samples. Investigative Ophthalmology & Visual Science. 47(13). 1869–1869. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026