Junru Wang
Impact in
- Environmental Chemistry top 1%
- Arsenic contamination and mitigation
Papers in
- Genetics 20
- Genetic and phenotypic traits in livestock 20
-
- Effects of Radiation Exposure 12
- Co-authors
- Martin Hauer‐Jensen (18 shared papers)Jiangkun Dai (21 shared papers)S. P. McGrath (2 shared papers)Fang-Jie Zhao (2 shared papers)Xuejun Jiang (5 shared papers)Wenjia Dan (13 shared papers)Xinjiang Wang (3 shared papers)Jörg Feldmann (1 shared paper)
- Journals
- Radiation Research (6 papers)European Journal of Medicinal Chemistry (5 papers)Molecular Biology Reports (5 papers)Molecules (5 papers)International Journal of Molecular Sciences (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junru Wang
218 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 127
- Environmental Chemistry 468
- Drug Discovery 2
- Radiology, Nuclear Medicine and Imaging 392
- Molecular Biology 1.1k
- Pollution 148
Countries citing papers authored by Junru Wang
This map shows the geographic impact of Junru 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 Junru Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junru Wang more than expected).
Fields of papers citing papers by Junru Wang
This network shows the impact of papers produced by Junru 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 Junru Wang. The network helps show where Junru Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junru 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 230 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 604 | |
| 2 | 2002 | 552 | |
| 3 | 2003 | 217 | |
| 4 | 2018 | 159 | |
| 5 | 2011 | 146 | |
| 6 | 2009 | 123 | |
| 7 | 2012 | 118 | |
| 8 | 2003 | 106 | |
| 9 | 2000 | 104 | |
| 10 | 2011 | 100 | |
| 11 | 2014 | 99 | |
| 12 | 2015 | 98 | |
| 13 | 2007 | 92 | |
| 14 | 2013 | 91 | |
| 15 | 2022 | 84 | |
| 16 | 2019 | 83 | |
| 17 | 2006 | 79 | |
| 18 | 2020 | 77 | |
| 19 | 2012 | 73 | |
| 20 | 2004 | 70 |
About Junru Wang
Junru Wang is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Inorganic Chemistry and Food Science, having authored 230 papers that have together received 6.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (20 papers), Synthesis and bioactivity of alkaloids (12 papers), Effects of Radiation Exposure (12 papers), 2D Materials and Applications (6 papers), Aquaculture disease management and microbiota (4 papers), Fungal Biology and Applications (4 papers), Virology and Viral Diseases (4 papers) and Protein Hydrolysis and Bioactive Peptides (3 papers). The work is most often cited by research in Environmental Chemistry (468 citations), Drug Discovery (2 citations), Radiology, Nuclear Medicine and Imaging (392 citations), Molecular Biology (1.1k citations) and Pollution (148 citations). Junru Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Martin Hauer‐Jensen, Jiangkun Dai, S. P. McGrath, Fang-Jie Zhao, Xuejun Jiang, Wenjia Dan, Xinjiang Wang, Jörg Feldmann, Andrew A. Meharg and Andrea Raab. Their work appears in journals such as Radiation Research, European Journal of Medicinal Chemistry, Molecular Biology Reports, Molecules and International Journal of Molecular Sciences.
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.