Junrong Wang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Circular RNAs in diseases 3
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
- Co-authors
- Stefanie Tiede (1 shared paper)Gerhard Christofori (1 shared paper)Christoph Hess (1 shared paper)Maren Diepenbruck (1 shared paper)Marco Morini (1 shared paper)Dana Ishay-Ronen (1 shared paper)Ravi Kiran Reddy Kalathur (1 shared paper)Robert Ivánek (1 shared paper)
- Journals
- Advanced Functional Materials (2 papers)PLoS ONE (2 papers)Plant Disease (2 papers)Laser & Photonics Review (2 papers)Gene (1 paper)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Junrong Wang
34 papers receiving 601 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 130
- Molecular Medicine 37
- Oncology 129
- Molecular Biology 273
- Immunology 60
Countries citing papers authored by Junrong Wang
This map shows the geographic impact of Junrong 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 Junrong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junrong Wang more than expected).
Fields of papers citing papers by Junrong Wang
This network shows the impact of papers produced by Junrong 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 Junrong Wang. The network helps show where Junrong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junrong 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 213 | |
| 2 | 2024 | 50 | |
| 3 | 2021 | 40 | |
| 4 | 2023 | 30 | |
| 5 | 2023 | 26 | |
| 6 | 2010 | 24 | |
| 7 | 2018 | 23 | |
| 8 | 2022 | 23 | |
| 9 | 2007 | 21 | |
| 10 | 2017 | 16 | |
| 11 | 2023 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2016 | 12 | |
| 14 | 2016 | 11 | |
| 15 | 2013 | 9 | |
| 16 | 2025 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2023 | 6 |
About Junrong Wang
Junrong Wang is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Genetics and Plant Science, having authored 38 papers that have together received 606 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Plant Pathogens and Fungal Diseases (3 papers), Autophagy in Disease and Therapy (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), Antibiotic Resistance in Bacteria (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Cancer Research (130 citations), Molecular Medicine (37 citations), Oncology (129 citations), Molecular Biology (273 citations) and Immunology (60 citations). Junrong Wang has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Stefanie Tiede, Gerhard Christofori, Christoph Hess, Maren Diepenbruck, Marco Morini, Dana Ishay-Ronen, Ravi Kiran Reddy Kalathur, Robert Ivánek, Nami Sugiyama and Glenn R. Bantug. Their work appears in journals such as Advanced Functional Materials, PLoS ONE, Plant Disease, Laser & Photonics Review and Gene.
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.