Xiaokang Lv

43 total papers · 701 total citations
31 papers, 477 citations indexed

About

Xiaokang Lv is a scholar working on Agronomy and Crop Science, Plant Science and Genetics. According to data from OpenAlex, Xiaokang Lv has authored 31 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Agronomy and Crop Science, 9 papers in Plant Science and 6 papers in Genetics. Recurrent topics in Xiaokang Lv's work include Ruminant Nutrition and Digestive Physiology (14 papers), Genetic and phenotypic traits in livestock (6 papers) and Crop Yield and Soil Fertility (4 papers). Xiaokang Lv is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (14 papers), Genetic and phenotypic traits in livestock (6 papers) and Crop Yield and Soil Fertility (4 papers). Xiaokang Lv collaborates with scholars based in China and United States. Xiaokang Lv's co-authors include Xiaoxia Wen, Naifeng Zhang, Qiyu Diao, Yuncheng Liao, Jianmin Chai, Haiyan Liang, Yang Liu, Didi Liu, Yuncheng Liao and Kai Cui and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Plant Science and British Journal Of Nutrition.

In The Last Decade

Xiaokang Lv

25 papers receiving 472 citations

Author Peers

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

Author						Papers	Cites
Xiaokang Lv	240	240	104	58	48	31	477
Chang Liu	123 0.5×	283 1.2×	127 1.2×	47 0.8×	105 2.2×	21	466
Junxing Zhang	185 0.8×	137 0.6×	175 1.7×	66 1.1×	61 1.3×	42	552
Mohamed E. Hasan	240 1.0×	71 0.3×	85 0.8×	45 0.8×	40 0.8×	30	415
Zhian Zhang	264 1.1×	123 0.5×	135 1.3×	46 0.8×	31 0.6×	41	495
Katrin Gerlach	94 0.4×	348 1.4×	61 0.6×	100 1.7×	140 2.9×	28	541
L. F. Bauman	298 1.2×	250 1.0×	104 1.0×	111 1.9×	20 0.4×	33	527
J. P. Fay	69 0.3×	224 0.9×	96 0.9×	66 1.1×	56 1.2×	28	410
Federica Piattoni	166 0.7×	102 0.4×	60 0.6×	30 0.5×	133 2.8×	29	419
A. Khezri	88 0.4×	147 0.6×	97 0.9×	152 2.6×	99 2.1×	37	431
Tim Scanlon	114 0.5×	180 0.8×	77 0.7×	136 2.3×	192 4.0×	18	476

Countries citing papers authored by Xiaokang Lv

Since Specialization

Citations

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

Fields of papers citing papers by Xiaokang Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokang Lv

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