Wenzhen Song

709 citations
5 papers · 459 indexed · 2 hit papers · h-index 3
Topics
Rice Cultivation and Yield Improvement (3 papers)Plant nutrient uptake and metabolism (3 papers)Plant Molecular Biology Research (2 papers)
Partner nations
ChinaUnited Kingdom

In The Last Decade

Wenzhen Song

4 papers receiving 453 citations

Hit Papers

Enhanced sustainable green revolution yield via nitrogen-...202020262022202420202022100200300

Peers

Wenzhen Song
Comparison fields: 5 of 47
  • Plant Science 412
  • Molecular Biology 95
  • Genetics 57
  • Agronomy and Crop Science 55
  • Computer Networks and Communications 28
Replace Daniela Ristova with:
Daniela Ristova United States
Chandra H. McAllister Canada
Hanne Cecilie Thomsen Denmark
Rebecka T. Carroll Canada
Shunying Yang China
P. Boominathan India
Viviana Araus Chile
S. Chaillou France
Anne-Maarit Bågman United States
Wenzhen Song relative to Daniela Ristova United States Daniela Ristova's profile →
Citations per field
00.5×
Daniela Ristova · 1×
Citations per year

Countries citing papers authored by Wenzhen Song

Since Specialization
Citations

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

Fields of papers citing papers by Wenzhen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenzhen Song

This figure shows the co-authorship network connecting the top 25 collaborators of Wenzhen Song. A scholar is included among the top collaborators of Wenzhen Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wenzhen Song. Wenzhen Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 1
2 7
3
Improving Crop Nitrogen Use Efficiency Toward Sustainable Green Revolutionbreakdown →
138
4
Enhanced sustainable green revolution yield via nitrogen-responsive chromatin modulation in ricebreakdown →
313
5 0

About Wenzhen Song

Wenzhen Song is a scholar working on Plant Science, Genetics and Infectious Diseases, having authored 5 papers that have together received 459 indexed citations. Recurring topics across this work include Rice Cultivation and Yield Improvement (3 papers), Plant nutrient uptake and metabolism (3 papers) and Plant Molecular Biology Research (2 papers). The work is most often cited by research in Plant Science (412 citations), Agronomy and Crop Science (55 citations) and Soil Science (26 citations). Wenzhen Song has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Kun Wu, Xiangdong Fu, Qian Liu, Yunzhe Wu, Nan Zhong, Yafeng Ye, Binmei Liu, Shuansuo Wang, Xiaokang Wu and Yun Wang. Their work appears in journals such as Science, Annual Review of Plant Biology and Molecular Plant.

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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