Lu Niu

49 total papers · 409 total citations
30 papers, 242 citations indexed

About

Lu Niu is a scholar working on Plant Science, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lu Niu has authored 30 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 4 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lu Niu's work include Plant-Microbe Interactions and Immunity (4 papers), Land Use and Ecosystem Services (3 papers) and Plant Virus Research Studies (3 papers). Lu Niu is often cited by papers focused on Plant-Microbe Interactions and Immunity (4 papers), Land Use and Ecosystem Services (3 papers) and Plant Virus Research Studies (3 papers). Lu Niu collaborates with scholars based in China, United States and Taiwan. Lu Niu's co-authors include Xiangdong Yang, Guojie Xing, Jing Yang, Xiaofang Zhong, Zhengfeng Zhang, Qianqian Zhao, Yanchun Zhang, Dongquan Guo, Yingshan Dong and Hongli He and has published in prestigious journals such as Biochemical and Biophysical Research Communications, IEEE Transactions on Instrumentation and Measurement and Geographical Journal.

In The Last Decade

Lu Niu

28 papers receiving 236 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Lu Niu 135 94 28 18 17 30 242
Guang Yang 157 1.2× 98 1.0× 21 0.8× 23 1.3× 8 0.5× 21 282
Mônica Teresa Veneziano Labate 162 1.2× 147 1.6× 12 0.4× 14 0.8× 17 1.0× 21 267
Peining Fu 252 1.9× 99 1.1× 10 0.4× 6 0.3× 6 0.4× 26 300
Fenglan Huang 150 1.1× 128 1.4× 7 0.3× 17 0.9× 9 0.5× 35 285
Xiaohuan Sun 187 1.4× 104 1.1× 15 0.5× 15 0.8× 5 0.3× 15 280
K. Ishibashi 22 0.2× 158 1.7× 10 0.4× 22 1.2× 26 1.5× 24 315
Elsayed Mohamed 164 1.2× 133 1.4× 6 0.2× 13 0.7× 13 0.8× 21 310
Mehmet Demıralay 265 2.0× 63 0.7× 13 0.5× 6 0.3× 7 0.4× 23 318
Shaoxuan Li 159 1.2× 109 1.2× 10 0.4× 12 0.7× 7 0.4× 33 312
R. S. Fougat 243 1.8× 87 0.9× 9 0.3× 60 3.3× 6 0.4× 28 321

Countries citing papers authored by Lu Niu

Since Specialization
Citations

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

Fields of papers citing papers by Lu Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Niu. A scholar is included among the top collaborators of Lu Niu 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 Lu Niu. Lu Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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