Xin Lv

68 total papers · 1.1k total citations
53 papers, 804 citations indexed

About

Xin Lv is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Xin Lv has authored 53 papers receiving a total of 804 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Plant Science and 6 papers in Epidemiology. Recurrent topics in Xin Lv's work include Plant Stress Responses and Tolerance (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Bioenergy crop production and management (4 papers). Xin Lv is often cited by papers focused on Plant Stress Responses and Tolerance (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Bioenergy crop production and management (4 papers). Xin Lv collaborates with scholars based in China, Pakistan and Australia. Xin Lv's co-authors include Honghui Lin, Xiaohong Chen, Fei Xu, Dawei Zhang, Shu Yuan, Jianzhong Zhou, Mei Jiang, Xiaoli Liu, Mingsheng Dong and Mei Jiang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Xin Lv

47 papers receiving 775 citations

Author Peers

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

Author Last Decade Papers Cites
Xin Lv 377 329 117 73 69 53 804
Yahui Wei 332 0.9× 459 1.4× 77 0.7× 59 0.8× 49 0.7× 62 953
Yin Chen 289 0.8× 281 0.9× 115 1.0× 123 1.7× 63 0.9× 43 860
Zhengpeng Li 320 0.8× 474 1.4× 181 1.5× 104 1.4× 142 2.1× 66 1.0k
Sabina Berne 266 0.7× 360 1.1× 135 1.2× 61 0.8× 110 1.6× 24 761
Yen‐Hsueh Tseng 240 0.6× 397 1.2× 66 0.6× 136 1.9× 56 0.8× 66 822
Н. Н. Гесслер 326 0.9× 297 0.9× 126 1.1× 53 0.7× 154 2.2× 39 799
Zhuyun Yan 228 0.6× 331 1.0× 112 1.0× 127 1.7× 38 0.6× 62 753
Chen Zhang 269 0.7× 350 1.1× 271 2.3× 81 1.1× 39 0.6× 51 866
Henan Zhang 222 0.6× 350 1.1× 140 1.2× 139 1.9× 28 0.4× 48 800
Intidhar Ben Salem 479 1.3× 303 0.9× 63 0.5× 107 1.5× 105 1.5× 39 999

Countries citing papers authored by Xin Lv

Since Specialization
Citations

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

Fields of papers citing papers by Xin Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Lv. A scholar is included among the top collaborators of Xin Lv 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 Xin Lv. Xin Lv 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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2026