Junrui Wang
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 7
- Endocrinology top 5%
- Diphtheria, Corynebacterium, and Tetanus 8
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 9
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery 7
- Plant Science top 5%
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- Nanoplatforms for cancer theranostics 11
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- Genetic Mapping and Diversity in Plants and Animals 9
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- Streptococcal Infections and Treatments 8
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- Extracellular vesicles in disease 7
- Journals
- Journal of Nanobiotechnology (4 papers)Frontiers in Microbiology (4 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Junrui Wang
102 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 149
- Molecular Medicine 95
- Endocrinology 70
- Clinical Biochemistry 86
- Biomaterials 158
- Plant Science 403
Countries citing papers authored by Junrui Wang
This map shows the geographic impact of Junrui 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 Junrui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junrui Wang more than expected).
Fields of papers citing papers by Junrui Wang
This network shows the impact of papers produced by Junrui 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 Junrui Wang. The network helps show where Junrui Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junrui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 8 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 7 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 29 | |
| 13 | 2022 | 57 | |
| 14 | 2021 | 30 | |
| 15 | 2021 | 18 | |
| 16 | 2020 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 19 | |
| 19 | Origin and dissemination of rice in China revealed by rice physical remains from archaeological sites. | 2017 | 1 |
| 20 | 2016 | 22 |
About Junrui Wang
Junrui Wang is a scholar working on Endocrinology, Molecular Medicine, Clinical Biochemistry, Statistics, Probability and Uncertainty and Biomaterials, having authored 114 papers that have together received 1.9k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (11 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Bacterial Identification and Susceptibility Testing (9 papers), Streptococcal Infections and Treatments (8 papers), Diphtheria, Corynebacterium, and Tetanus (8 papers), Antibiotic Resistance in Bacteria (7 papers), Nanoparticle-Based Drug Delivery (7 papers) and Extracellular vesicles in disease (7 papers). The work is most often cited by research in Molecular Medicine (95 citations), Endocrinology (70 citations), Clinical Biochemistry (86 citations), Biomaterials (158 citations) and Plant Science (403 citations). Junrui Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Dajing Guo, Wenli Zhang, Haitao Ran, Yixin Zhong, Nan Xu, Songliang Ma, Zhigang Wang, Chao‐Shan Da, Weixi Jiang and Guangyu Sun. Their work appears in journals such as Journal of Nanobiotechnology, Frontiers in Microbiology, Scientific Reports, Frontiers in Plant Science and Chemical Engineering Journal.
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.