Ming Wang

16.5k total citations · 5 hit papers
364 papers, 14.0k citations indexed

About

Ming Wang is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Ming Wang has authored 364 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 157 papers in Molecular Biology, 61 papers in Biomedical Engineering and 57 papers in Oncology. Recurrent topics in Ming Wang's work include RNA Interference and Gene Delivery (55 papers), Advanced biosensing and bioanalysis techniques (45 papers) and CRISPR and Genetic Engineering (26 papers). Ming Wang is often cited by papers focused on RNA Interference and Gene Delivery (55 papers), Advanced biosensing and bioanalysis techniques (45 papers) and CRISPR and Genetic Engineering (26 papers). Ming Wang collaborates with scholars based in China, United States and United Kingdom. Ming Wang's co-authors include Deqing Zhang, Guanxin Zhang, Daoben Zhu, Lanqun Mao, Qiaobing Xu, Peter J. Stang, Shuo Sun, Yao‐Rong Zheng, Ben Zhong Tang and Ying Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Ming Wang

346 papers receiving 13.8k citations

Hit Papers

Fluorescent bio/chemosensors based on silole an... 1997 2026 2006 2016 2010 1997 2016 2019 2019 250 500 750

Peers

Ming Wang
Comparison fields: 5 of 188
  • Molecular Biology 6.2k
  • Materials Chemistry 4.2k
  • Organic Chemistry 2.2k
  • Biomedical Engineering 2.2k
  • Spectroscopy 1.9k
Replace Jia Li with:
Jia Li China
Yong Liu China
Kun Li China
Xiangmin Zhang China
Qi Wang China
Thomas V. O’Halloran United States
Xiaoyong Wang China
Wen Sun China
Binghe Wang United States
Bing Yan China
Jia Li China View profile →
Citations per field, relative to Ming Wang
Ming Wang · 1×
Citations per year, relative to Ming Wang
Ming Wang · 1×

Countries citing papers authored by Ming Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Wang. A scholar is included among the top collaborators of Ming 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 Ming Wang. Ming 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
# Work Indexed citations
1 1
2 1
3 0
4 2
5 2
6 6
7 21
8 3
9 17
10 5
11 13
12 70
13 0
14 26
15 7
16 70
17 4
18
Efficient delivery of genome-editing proteins using bioreducible lipid nanoparticles breakdown →
540
19
[Effect of lupeol on migration and invasion of human breast cancer MDA-MB-231 cells and its mechanism].
11
20 41

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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