Junru Wang

7.6k citations
230 papers · 6.4k · h-index 38

Impact in

    • Arsenic contamination and mitigation
    • Ubiquitin and proteasome pathways
    • Synthesis and bioactivity of alkaloids
    • PI3K/AKT/mTOR signaling in cancer

Papers in

Junru Wang

218 papers receiving 6.3k citations

Peers

Junru Wang
Comparison fields: 5 of 144
  • Environmental Chemistry 553
  • Molecular Biology 1.7k
  • Pollution 250
  • Radiology, Nuclear Medicine and Imaging 463
  • Food Science 317
Replace Shi Chen with:
Shi Chen China
Ké Li China
Song Qin China
Yon Rojanasakul United States
Andrea Hartwig Germany
Peifeng Li China
Margherita Bignami Italy
James Kevin Chipman United Kingdom
Liying Wang China
David M. DeMarini United States
Junru Wang relative to Shi Chen China Shi Chen's profile →
Citations per field
00.5×2×3×4×4.6×
Shi Chen · 1×
Citations per year

Countries citing papers authored by Junru Wang

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Junru Wang Line = papers co-authored together Junru Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007604
2 2002552
3 2003217
4 2018159
5 2011146
6 2009123
7 2012118
8 2003106
9 2000104
10 2011100
11 201499
12 201598
13 200792
14 201391
15 202284
16 201983
17 200679
18 202077
19 201273
20 200470

About Junru Wang

Junru Wang is a scholar working on Genetics, Molecular Biology, Food Science, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 230 papers that have together received 6.4k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (23 papers), Synthesis and bioactivity of alkaloids (22 papers), Effects of Radiation Exposure (13 papers), 2D Materials and Applications (7 papers), Antimicrobial agents and applications (6 papers), Aquaculture Nutrition and Growth (6 papers), Synthesis and Biological Evaluation (6 papers) and Traditional Chinese Medicine Analysis (6 papers). The work is most often cited by research in Environmental Chemistry (553 citations), Molecular Biology (1.7k citations), Pollution (250 citations), Radiology, Nuclear Medicine and Imaging (463 citations) and Food Science (317 citations). Junru Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Martin Hauer‐Jensen, Jiangkun Dai, Fang-Jie Zhao, S. P. McGrath, Xuejun Jiang, Wenjia Dan, Xinjiang Wang, Andrea Raab, Andrew A. Meharg and Jörg Feldmann. 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.

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