Man‐Di Wang
Impact in
- Biomaterials top 2%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics
Papers in
-
- Advanced biosensing and bioanalysis techniques 5
- Glycosylation and Glycoproteins Research 3
- RNA Interference and Gene Delivery 3
- Oncology 13
- Peptidase Inhibition and Analysis 11
- Co-authors
- Hao Wang (19 shared papers)Da‐Yong Hou (16 shared papers)Wanhai Xu (13 shared papers)Hong‐Wei An (10 shared papers)Ni‐Yuan Zhang (7 shared papers)Ziqi Wang (3 shared papers)Xingjie Hu (9 shared papers)Lili Li (4 shared papers)
- Journals
- Advanced Materials (3 papers)Biomaterials (3 papers)Angewandte Chemie International Edition (3 papers)Nature Communications (2 papers)Bioactive Materials (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Man‐Di Wang
24 papers receiving 995 citations
Peers
Comparison fields: 5 of 75
- Biomaterials 446
- Biomedical Engineering 503
- Microbiology 67
- Molecular Biology 527
- Oncology 163
Countries citing papers authored by Man‐Di Wang
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
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-authors
The 25 scholars most cited alongside Man‐Di Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 169 | |
| 2 | 2020 | 106 | |
| 3 | 2019 | 93 | |
| 4 | 2022 | 83 | |
| 5 | 2021 | 70 | |
| 6 | 2021 | 65 | |
| 7 | 2023 | 63 | |
| 8 | 2022 | 63 | |
| 9 | 2022 | 43 | |
| 10 | 2023 | 37 | |
| 11 | 2022 | 34 | |
| 12 | 2022 | 32 | |
| 13 | 2020 | 31 | |
| 14 | 2021 | 30 | |
| 15 | 2023 | 21 | |
| 16 | 2022 | 17 | |
| 17 | 2023 | 16 | |
| 18 | 2023 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2020 | 5 |
About Man‐Di Wang
Man‐Di Wang is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Biomaterials and Immunology, having authored 26 papers that have together received 1.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (11 papers), Nanoplatforms for cancer theranostics (10 papers), Advanced biosensing and bioanalysis techniques (5 papers), Supramolecular Self-Assembly in Materials (4 papers), Glycosylation and Glycoproteins Research (3 papers), Nanoparticle-Based Drug Delivery (3 papers), RNA Interference and Gene Delivery (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Biomaterials (446 citations), Biomedical Engineering (503 citations), Microbiology (67 citations), Molecular Biology (527 citations) and Oncology (163 citations). Man‐Di Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Hao Wang, Da‐Yong Hou, Wanhai Xu, Hong‐Wei An, Ni‐Yuan Zhang, Ziqi Wang, Xingjie Hu, Lili Li, Rui Zheng and Yuliang Zhao. Their work appears in journals such as Advanced Materials, Biomaterials, Angewandte Chemie International Edition, Nature Communications and Bioactive Materials.
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.