Juping Wang
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Phylogenetic Studies 13
- Glycosylation and Glycoproteins Research 5
- Circular RNAs in diseases 2
- Genetics 17
- Lepidoptera: Biology and Taxonomy 16
- Genetic diversity and population structure 12
- Co-authors
- Feng Ding (4 shared papers)Tong Wang (6 shared papers)Xiaohong Du (2 shared papers)Xiaoming Lin (1 shared paper)Jiang Gu (3 shared papers)Xue Gao (3 shared papers)Junkang Zhao (3 shared papers)Zhengshan Chen (2 shared papers)
- Journals
- Current Pharmaceutical Design (2 papers)BioMed Research International (2 papers)Cell Death Discovery (1 paper)Frontiers in Immunology (1 paper)International Journal of Genomics (1 paper)
- Partner nations
- ChinaUnited StatesSlovakia
In The Last Decade
Juping Wang
42 papers receiving 467 citations
Peers
Comparison fields: 5 of 100
- Nephrology 41
- Cancer Research 79
- Immunology 86
- Molecular Biology 234
- Genetics 81
Countries citing papers authored by Juping Wang
This map shows the geographic impact of Juping 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 Juping Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juping Wang more than expected).
Fields of papers citing papers by Juping Wang
This network shows the impact of papers produced by Juping 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 Juping Wang. The network helps show where Juping Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Juping 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 60 | |
| 2 | 2012 | 52 | |
| 3 | 2022 | 45 | |
| 4 | 2014 | 23 | |
| 5 | 2012 | 22 | |
| 6 | 2020 | 22 | |
| 7 | 2016 | 20 | |
| 8 | 2019 | 20 | |
| 9 | 2021 | 19 | |
| 10 | 2022 | 19 | |
| 11 | 2021 | 17 | |
| 12 | 2015 | 17 | |
| 13 | 2022 | 15 | |
| 14 | 2018 | 11 | |
| 15 | 2015 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2022 | 8 | |
| 18 | 2020 | 8 | |
| 19 | 2015 | 8 | |
| 20 | 2015 | 7 |
About Juping Wang
Juping Wang is a scholar working on Molecular Biology, Genetics, Epidemiology, Immunology and Surgery, having authored 43 papers that have together received 469 indexed citations. Recurring topics across this work include Lepidoptera: Biology and Taxonomy (16 papers), Genomics and Phylogenetic Studies (13 papers), Genetic diversity and population structure (12 papers), Glycosylation and Glycoproteins Research (5 papers), Immune Cell Function and Interaction (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Circular RNAs in diseases (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Nephrology (41 citations), Cancer Research (79 citations), Immunology (86 citations), Molecular Biology (234 citations) and Genetics (81 citations). Juping Wang has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Feng Ding, Tong Wang, Xiaohong Du, Xiaoming Lin, Jiang Gu, Xue Gao, Junkang Zhao, Zhengshan Chen, Yingui Sun and Tao Huang. Their work appears in journals such as Current Pharmaceutical Design, BioMed Research International, Cell Death Discovery, Frontiers in Immunology and International Journal of Genomics.
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.