Man‐Di Wang

962 total citations
25 papers, 801 citations indexed

About

Man‐Di Wang is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Man‐Di Wang has authored 25 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Oncology and 9 papers in Biomedical Engineering. Recurrent topics in Man‐Di Wang's work include Peptidase Inhibition and Analysis (11 papers), Nanoplatforms for cancer theranostics (9 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Man‐Di Wang is often cited by papers focused on Peptidase Inhibition and Analysis (11 papers), Nanoplatforms for cancer theranostics (9 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Man‐Di Wang collaborates with scholars based in China, United States and Sweden. Man‐Di Wang's co-authors include Hao Wang, Da‐Yong Hou, Hong‐Wei An, Wanhai Xu, Ni‐Yuan Zhang, Xingjie Hu, Rui Zheng, Ziqi Wang, Lu Wang and Wuyi Xiao and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Man‐Di Wang

21 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Man‐Di Wang China 16 447 390 342 149 83 25 801
Rami W. Chakroun United States 12 430 1.0× 422 1.1× 592 1.7× 84 0.6× 111 1.3× 13 961
Xingjie Hu China 19 691 1.5× 439 1.1× 261 0.8× 98 0.7× 82 1.0× 36 1.1k
Kairong Shi China 20 825 1.8× 657 1.7× 851 2.5× 141 0.9× 102 1.2× 25 1.4k
Yaohua Wei China 18 326 0.7× 351 0.9× 405 1.2× 76 0.5× 69 0.8× 32 851
Seungho Lim South Korea 14 392 0.9× 444 1.1× 273 0.8× 112 0.8× 140 1.7× 18 863
Muhetaerjiang Mamuti China 12 214 0.5× 248 0.6× 163 0.5× 66 0.4× 119 1.4× 14 474
Debin Zheng China 11 269 0.6× 188 0.5× 268 0.8× 57 0.4× 39 0.5× 18 498
Debra Wu United States 11 385 0.9× 381 1.0× 292 0.9× 145 1.0× 251 3.0× 12 920
Jingxing Si China 14 297 0.7× 402 1.0× 292 0.9× 121 0.8× 93 1.1× 31 856
Xiangting Zhuang China 7 368 0.8× 481 1.2× 418 1.2× 128 0.9× 242 2.9× 9 813

Countries citing papers authored by Man‐Di Wang

Since Specialization
Citations

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

Fields of papers citing papers by Man‐Di Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Man‐Di Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Man‐Di Wang. A scholar is included among the top collaborators of Man‐Di 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 Man‐Di Wang. Man‐Di 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.
Krichel, Boris, David S. Roberts, Man‐Di Wang, et al.. (2025). Structural Heterogeneity of Proteoform-Ligand Complexes in Adenosine Monophosphate-Activated Protein Kinase Uncovered by Integrated Top-Down Mass Spectrometry. Journal of the American Chemical Society. 147(34). 30809–30819.
2.
Hu, Yaqi, et al.. (2025). Receptor-mediated membrane fusion drug delivery system based on chitosan derivatives to enhance tumor chemotherapy. International Journal of Biological Macromolecules. 311(Pt 4). 143869–143869.
3.
Hu, Xingjie, Yinghao Ding, Jie Li, et al.. (2025). Self-assembling peptide inspired by insulin and type 1 insulin-like growth factor for the treatment of androgenetic alopecia. Bioactive Materials. 53. 819–830.
4.
Wang, Man‐Di, Yanying Li, Jiaojiao Hu, et al.. (2024). Homologous Peptide Foldamer Promotes FUS Aggregation and Triggers Cancer Cell Death. Journal of the American Chemical Society. 146(42). 28669–28676. 3 indexed citations
5.
Wang, Xutong, et al.. (2024). Establishment of an Efficient Genetic Transformation System in Sanghuangporus baumii. Journal of Fungi. 10(2). 137–137.
6.
Wang, Man‐Di, Ting Xiao, Lu Wang, et al.. (2024). Bispecific fibrous glue synergistically boosts vascular normalization and antitumor immunity for advanced renal carcinoma therapy. Biomaterials. 308. 122550–122550. 5 indexed citations
7.
Roberts, David S., Timothy N. Tiambeng, J. H. Andrews, et al.. (2023). Structure and dynamics of endogenous cardiac troponin complex in human heart tissue captured by native nanoproteomics. Nature Communications. 14(1). 8400–8400. 16 indexed citations
8.
Chen, Qinghua, Man‐Di Wang, Yixuan Liu, et al.. (2023). Inter-crosslinking peptide augments 4-1BB receptor clustering for cancer immunotherapy. Nano Today. 53. 102035–102035. 6 indexed citations
9.
Zhang, Ni‐Yuan, Da‐Yong Hou, Xingjie Hu, et al.. (2023). Nano Proteolysis Targeting Chimeras (PROTACs) with Anti‐Hook Effect for Tumor Therapy. Angewandte Chemie International Edition. 62(37). e202308049–e202308049. 55 indexed citations
10.
Hu, Xingjie, Ni‐Yuan Zhang, Da‐Yong Hou, et al.. (2023). An In Vivo Self‐Assembled Bispecific Nanoblocker for Enhancing Tumor Immunotherapy. Advanced Materials. 35(45). e2303831–e2303831. 19 indexed citations
11.
Hou, Da‐Yong, Wuyi Xiao, Jiaqi Wang, et al.. (2022). OGA activated glycopeptide-based nano-activator to activate PKM2 tetramerization for switching catabolic pathways and sensitizing chemotherapy resistance. Biomaterials. 284. 121523–121523. 34 indexed citations
12.
Wei, Ziyu, Yu Yi, Zhen Luo, et al.. (2022). Selenopeptide Nanomedicine Activates Natural Killer Cells for Enhanced Tumor Chemoimmunotherapy. Advanced Materials. 34(17). e2108167–e2108167. 60 indexed citations
13.
Wang, Man‐Di, et al.. (2022). In Situ Self‐Assembly of Bispecific Peptide for Cancer Immunotherapy. Angewandte Chemie International Edition. 61(10). e202113649–e202113649. 79 indexed citations
14.
Hou, Da‐Yong, Man‐Di Wang, Shaoxin Xu, et al.. (2022). A Lysosome-Targeting Self-Condensation Prodrug-Nanoplatform System for Addressing Drug Resistance of Cancer. Nano Letters. 22(10). 3983–3992. 30 indexed citations
15.
Hou, Da‐Yong, Man‐Di Wang, Xingjie Hu, et al.. (2021). An activated excretion-retarded tumor imaging strategy towards metabolic organs. Bioactive Materials. 14. 110–119. 29 indexed citations
16.
Wang, Man‐Di, Da‐Yong Hou, Xingjie Hu, et al.. (2021). Targeted in situ self-assembly augments peptide drug conjugate cell-entry efficiency. Biomaterials. 278. 121139–121139. 64 indexed citations
17.
Mamuti, Muhetaerjiang, Xiaofeng Wang, Haodong Yao, et al.. (2021). Rationally designed modular drug delivery platform based on intracellular peptide self‐assembly. SHILAP Revista de lepidopterología. 1(2). 20210153–20210153. 68 indexed citations
18.
19.
Xiao, Wuyi, Yi Wang, Hong‐Wei An, et al.. (2020). Click Reaction-Assisted Peptide Immune Checkpoint Blockade for Solid Tumor Treatment. ACS Applied Materials & Interfaces. 12(36). 40042–40051. 31 indexed citations
20.
Wang, Ziqi, Hong‐Wei An, Da‐Yong Hou, et al.. (2019). Addressable Peptide Self‐Assembly on the Cancer Cell Membrane for Sensitizing Chemotherapy of Renal Cell Carcinoma. Advanced Materials. 31(11). e1807175–e1807175. 91 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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