Shan Feng

91 total papers · 2.0k total citations
70 papers, 1.4k citations indexed

About

Shan Feng is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Shan Feng has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 27 papers in Plant Science and 9 papers in Pharmacology. Recurrent topics in Shan Feng's work include Plant Gene Expression Analysis (10 papers), Plant Molecular Biology Research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Shan Feng is often cited by papers focused on Plant Gene Expression Analysis (10 papers), Plant Molecular Biology Research (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Shan Feng collaborates with scholars based in China, United States and Macao. Shan Feng's co-authors include Xin He, Huifeng Zhu, Li Zou, Dong Wan, Shengyong Yang, Hongjin Wang, Jinghuan Wang, Ke Liu, Linli Li and Zhiqiang Liu and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shan Feng

69 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Shan Feng 713 388 151 142 124 70 1.4k
Márcia Inês Goettert 806 1.1× 330 0.9× 109 0.7× 44 0.3× 200 1.6× 93 1.7k
Ke‐Wu Zeng 858 1.2× 442 1.1× 227 1.5× 214 1.5× 259 2.1× 61 1.6k
Yue Jin 874 1.2× 187 0.5× 127 0.8× 50 0.4× 88 0.7× 44 1.7k
Hwa Jin Lee 1.0k 1.4× 344 0.9× 197 1.3× 34 0.2× 124 1.0× 67 1.7k
Yuemei Zhang 607 0.9× 282 0.7× 68 0.5× 77 0.5× 66 0.5× 77 1.8k
Takashi Hosono 648 0.9× 457 1.2× 121 0.8× 139 1.0× 50 0.4× 48 1.7k
Guo‐Dong Yao 924 1.3× 236 0.6× 144 1.0× 39 0.3× 82 0.7× 81 1.5k
Ming‐Cheng Lin 639 0.9× 207 0.5× 276 1.8× 96 0.7× 57 0.5× 67 1.7k
Rahim Ullah 450 0.6× 175 0.5× 135 0.9× 41 0.3× 171 1.4× 74 1.5k
Hongbing Wang 841 1.2× 199 0.5× 332 2.2× 54 0.4× 97 0.8× 56 1.5k

Countries citing papers authored by Shan Feng

Since Specialization
Citations

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

Fields of papers citing papers by Shan Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shan Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Shan Feng. A scholar is included among the top collaborators of Shan Feng 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 Shan Feng. Shan Feng 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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