Runrun Zhang

1.1k citations
43 papers · 862 · h-index 18

Impact in

    • Essential Oils and Antimicrobial Activity
  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities

Papers in

Runrun Zhang

38 papers receiving 855 citations

Peers

Runrun Zhang
Comparison fields: 5 of 118
  • Food Science 149
  • Biochemistry 47
  • Applied Microbiology and Biotechnology 12
  • Molecular Medicine 31
  • Biotechnology 53
Replace Soo‐Wan Nam with:
Soo‐Wan Nam South Korea
Mengyu Wang China
Hiromi Kubota Japan
Wenbo Guo China
Yuan Wang China
Saeed Taghizadeh Iran
Qinhong Wang China
Qiuying Li China
Liying Zhu China
Amit Gupta India
Runrun Zhang relative to Soo‐Wan Nam South Korea Soo‐Wan Nam's profile →
Citations per field
00.5×10×16×
Soo‐Wan Nam · 1×
Citations per year

Countries citing papers authored by Runrun Zhang

Since Specialization
Citations

This map shows the geographic impact of Runrun Zhang'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 Runrun Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runrun Zhang more than expected).

Fields of papers citing papers by Runrun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Runrun Zhang. 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 Runrun Zhang. The network helps show where Runrun Zhang may publish in the future.

Co-authors

The 25 scholars most cited alongside Runrun Zhang, 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 Runrun Zhang Line = papers co-authored together Runrun Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201878
2 201865
3 202064
4 201856
5 202251
6 202451
7 201446
8 201845
9 202238
10 202034
11 202134
12 201834
13 202031
14 202128
15 201627
16 202123
17 202522
18 202218
19 202417
20 202013

About Runrun Zhang

Runrun Zhang is a scholar working on Molecular Biology, Food Science, Water Science and Technology, Global and Planetary Change and Biomedical Engineering, having authored 43 papers that have together received 862 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (6 papers), Hydrology and Drought Analysis (6 papers), Hydrology and Watershed Management Studies (6 papers), Advanced Battery Technologies Research (4 papers), Bacterial biofilms and quorum sensing (3 papers), Climate variability and models (3 papers), Essential Oils and Antimicrobial Activity (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Food Science (149 citations), Biochemistry (47 citations), Applied Microbiology and Biotechnology (12 citations), Molecular Medicine (31 citations) and Biotechnology (53 citations). Runrun Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yugang Shi, Yu Wu, Yunjie Zhu, Zhicai Zhang, Xi Chen, Peng Shi, Dongyi He, Shicheng Guo, Yehua Jin and Cen Chang. Their work appears in journals such as Hydrological Processes, Advanced Materials, Water, International Journal of Food Microbiology and Journal of Hydrology.

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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