Changlong Wen

93 total papers · 2.8k total citations
72 papers, 1.6k citations indexed

About

Changlong Wen is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Changlong Wen has authored 72 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Plant Science, 30 papers in Molecular Biology and 29 papers in Genetics. Recurrent topics in Changlong Wen's work include Advances in Cucurbitaceae Research (25 papers), Plant Molecular Biology Research (16 papers) and Plant Virus Research Studies (13 papers). Changlong Wen is often cited by papers focused on Advances in Cucurbitaceae Research (25 papers), Plant Molecular Biology Research (16 papers) and Plant Virus Research Studies (13 papers). Changlong Wen collaborates with scholars based in China, United States and Indonesia. Changlong Wen's co-authors include Yiqun Weng, Jianjun Yang, Yuhong Li, Hong Zhao, Jian Zhang, Yuhui Wang, Shuancang Yu, Aijun Mao, Yong Xu and Kyle M. VandenLangenberg and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Changlong Wen

66 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Changlong Wen 1.2k 759 590 230 67 72 1.6k
Qunfeng Lou 1.3k 1.0× 641 0.8× 591 1.0× 214 0.9× 51 0.8× 93 1.5k
Cristina Esteras 1.1k 0.9× 389 0.5× 716 1.2× 269 1.2× 48 0.7× 42 1.4k
Yongchen Du 1.0k 0.8× 514 0.7× 274 0.5× 158 0.7× 74 1.1× 56 1.3k
Houxiang Kang 1.1k 0.9× 419 0.6× 480 0.8× 132 0.6× 108 1.6× 40 1.3k
Ivan Ingelbrecht 1.1k 0.9× 787 1.0× 182 0.3× 83 0.4× 23 0.3× 54 1.4k
Christelle Troadec 1.5k 1.3× 1.0k 1.3× 567 1.0× 289 1.3× 22 0.3× 32 1.9k
Huayu Zhu 1.2k 1.0× 568 0.7× 476 0.8× 82 0.4× 283 4.2× 47 1.5k
R. Manimekalai 1.4k 1.1× 646 0.9× 98 0.2× 252 1.1× 72 1.1× 91 1.6k
Xue Cao 1.0k 0.8× 1.1k 1.4× 361 0.6× 28 0.1× 43 0.6× 77 2.0k
Gaëtan Droc 2.0k 1.7× 1.1k 1.4× 532 0.9× 98 0.4× 117 1.7× 54 2.4k

Countries citing papers authored by Changlong Wen

Since Specialization
Citations

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

Fields of papers citing papers by Changlong Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changlong Wen

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