Mi Wang
Impact in
- Pharmaceutical Science top 0.5%
- Advanced Drug Delivery Systems
- Advancements in Transdermal Drug Delivery
- Hematology top 2%
- Multiple Myeloma Research and Treatments
Papers in
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- Coccidia and coccidiosis research 12
-
- Protein Degradation and Inhibitors 25
- Ubiquitin and proteasome pathways 20
- Co-authors
- Shaomeng Wang (26 shared papers)Chao‐Yie Yang (14 shared papers)Jeanne A. Stuckey (18 shared papers)Krishnapriya Chinnaswamy (13 shared papers)Weisan Pan (5 shared papers)Donna McEachern (15 shared papers)Ning Li (3 shared papers)Liu Liu (6 shared papers)
- Journals
- Journal of Medicinal Chemistry (21 papers)Journal of Colloid and Interface Science (4 papers)Frontiers in Psychiatry (4 papers)Journal of Nuclear Materials (4 papers)Medicine (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Mi Wang
203 papers receiving 7.0k citations
Mi Wang's Hit Papers
Peers
Comparison fields: 5 of 162
- Pharmaceutical Science 470
- Hematology 711
- Oncology 1.3k
- Molecular Biology 3.4k
- Immunology 566
Countries citing papers authored by Mi Wang
This map shows the geographic impact of Mi 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 Mi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mi Wang more than expected).
Fields of papers citing papers by Mi Wang
This network shows the impact of papers produced by Mi 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 Mi Wang. The network helps show where Mi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mi 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 215 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Potent and Selective Small-Molecule Degrader of STAT3 Achieves Complete Tumor Regression In Vivo Hit paper breakdown → | 2019 | 502 |
| 2 | 2011 | 444 | |
| 3 | Bacteriostatic Effect of Quercetin as an Antibiotic Alternative In Vivo and Its Antibacterial Mechanism In Vitro Hit paper breakdown → | 2017 | 363 |
| 4 | 2019 | 338 | |
| 5 | 2010 | 281 | |
| 6 | 2018 | 262 | |
| 7 | 2018 | 229 | |
| 8 | 2009 | 223 | |
| 9 | 2019 | 215 | |
| 10 | 2019 | 188 | |
| 11 | 2019 | 177 | |
| 12 | 2018 | 141 | |
| 13 | 2020 | 134 | |
| 14 | 2012 | 133 | |
| 15 | 2017 | 91 | |
| 16 | 2004 | 89 | |
| 17 | 2007 | 73 | |
| 18 | 2014 | 72 | |
| 19 | 2020 | 69 | |
| 20 | 2022 | 68 |
About Mi Wang
Mi Wang is a scholar working on Animal Science and Zoology, Molecular Biology, Oncology, Hematology and Small Animals, having authored 215 papers that have together received 7.2k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (25 papers), Ubiquitin and proteasome pathways (20 papers), Peptidase Inhibition and Analysis (14 papers), Coccidia and coccidiosis research (12 papers), Multiple Myeloma Research and Treatments (11 papers), Nuclear Materials and Properties (11 papers), Veterinary medicine and infectious diseases (11 papers) and Fusion materials and technologies (10 papers). The work is most often cited by research in Pharmaceutical Science (470 citations), Hematology (711 citations), Oncology (1.3k citations), Molecular Biology (3.4k citations) and Immunology (566 citations). Mi Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shaomeng Wang, Chao‐Yie Yang, Jeanne A. Stuckey, Krishnapriya Chinnaswamy, Weisan Pan, Donna McEachern, Ning Li, Liu Liu, Xin Han and Miao Song. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Colloid and Interface Science, Frontiers in Psychiatry, Journal of Nuclear Materials and Medicine.
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.