Kuo Zhang
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Biomaterials top 2%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
Papers in
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- Extracellular vesicles in disease 7
- Advanced biosensing and bioanalysis techniques 6
- RNA Research and Splicing 5
- Angiogenesis and VEGF in Cancer 5
-
- Nanoplatforms for cancer theranostics 12
- Co-authors
- Jingyu Yang (18 shared papers)Lei Wang (32 shared papers)Hao Wang (23 shared papers)Chunfu Wu (14 shared papers)Pei‐Pei Yang (14 shared papers)Lü Jin (3 shared papers)Jingping Zhang (7 shared papers)Jie Ma (8 shared papers)
- Journals
- Journal of Ethnopharmacology (10 papers)Small (6 papers)ACS Nano (5 papers)Chinese Chemical Letters (5 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Kuo Zhang
151 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 142
- Biological Psychiatry 187
- Biomaterials 493
- Behavioral Neuroscience 125
- Cancer Research 391
- Complementary and alternative medicine 167
Countries citing papers authored by Kuo Zhang
This map shows the geographic impact of Kuo Zhang'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 Kuo Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo Zhang more than expected).
Fields of papers citing papers by Kuo Zhang
This network shows the impact of papers produced by Kuo Zhang. 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 Kuo Zhang. The network helps show where Kuo Zhang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kuo Zhang, 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 164 | |
| 2 | 2020 | 136 | |
| 3 | 2009 | 131 | |
| 4 | 2020 | 129 | |
| 5 | 2014 | 117 | |
| 6 | 2010 | 90 | |
| 7 | 2023 | 89 | |
| 8 | 2020 | 82 | |
| 9 | 2014 | 78 | |
| 10 | 2017 | 77 | |
| 11 | 2018 | 73 | |
| 12 | 2016 | 73 | |
| 13 | 2018 | 72 | |
| 14 | 2019 | 64 | |
| 15 | 2020 | 64 | |
| 16 | 2022 | 52 | |
| 17 | 2018 | 51 | |
| 18 | 2018 | 46 | |
| 19 | 2013 | 45 | |
| 20 | 2015 | 44 |
About Kuo Zhang
Kuo Zhang is a scholar working on Molecular Biology, Biomedical Engineering, Biomaterials, Materials Chemistry and Cancer Research, having authored 165 papers that have together received 3.5k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (12 papers), Supramolecular Self-Assembly in Materials (10 papers), Extracellular vesicles in disease (7 papers), Acupuncture Treatment Research Studies (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), RNA Research and Splicing (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Polydiacetylene-based materials and applications (5 papers). The work is most often cited by research in Biological Psychiatry (187 citations), Biomaterials (493 citations), Behavioral Neuroscience (125 citations), Cancer Research (391 citations) and Complementary and alternative medicine (167 citations). Kuo Zhang has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Jingyu Yang, Lei Wang, Hao Wang, Chunfu Wu, Pei‐Pei Yang, Lü Jin, Jingping Zhang, Jie Ma, Yingqi Zhang and Wangqian Zhang. Their work appears in journals such as Journal of Ethnopharmacology, Small, ACS Nano, Chinese Chemical Letters and PLoS ONE.
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.