Man‐Di Wang

962 citations
25 papers · 801 · h-index 16

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 5
    • Glycosylation and Glycoproteins Research 3
    • RNA Interference and Gene Delivery 3
    • Protein Degradation and Inhibitors 2
    • Peptidase Inhibition and Analysis 11

Man‐Di Wang

21 papers receiving 787 citations

Peers

Man‐Di Wang
Comparison fields: 5 of 73
  • Biomaterials 342
  • Biomedical Engineering 390
  • Microbiology 55
  • Molecular Biology 447
  • Oncology 149
Replace Rami W. Chakroun with:
Rami W. Chakroun United States
Xingjie Hu China
Kairong Shi China
Debin Zheng China
Muhetaerjiang Mamuti China
Ze‐Nan Zhuang China
Francesca Moret Italy
Debra Wu United States
Yaohua Wei China
Fengyun Shen China
Man‐Di Wang relative to Rami W. Chakroun United States Rami W. Chakroun's profile →
Citations per field
00.5×1.5×1.9×
Rami W. Chakroun · 1×
Citations per year

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-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.

Border = papers with Man‐Di Wang Line = papers co-authored together Man‐Di Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020105
2 201991
3 202279
4 202168
5 202164
6 202260
7 202355
8 202243
9 202234
10 202334
11 202031
12 202230
13 202129
14 202319
15 202316
16 202216
17 20238
18 20236
19 20205
20 20245

About Man‐Di Wang

Man‐Di Wang is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Biomaterials and Immunology, having authored 25 papers that have together received 801 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (11 papers), Nanoplatforms for cancer theranostics (9 papers), Advanced biosensing and bioanalysis techniques (5 papers), Supramolecular Self-Assembly in Materials (3 papers), Glycosylation and Glycoproteins Research (3 papers), Immunotherapy and Immune Responses (3 papers), RNA Interference and Gene Delivery (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Biomaterials (342 citations), Biomedical Engineering (390 citations), Microbiology (55 citations), Molecular Biology (447 citations) and Oncology (149 citations). Man‐Di Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Hao Wang, Da‐Yong Hou, Hong‐Wei An, Wanhai Xu, Ni‐Yuan Zhang, Xingjie Hu, Ziqi Wang, Rui Zheng, Lu Wang and Muhetaerjiang Mamuti. Their work appears in journals such as Angewandte Chemie International Edition, Biomaterials, Advanced Materials, Journal of the American Chemical Society 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.

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