Haoxian Li

76 total papers · 1.2k total citations
47 papers, 823 citations indexed

About

Haoxian Li is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Haoxian Li has authored 47 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Plant Science and 13 papers in Genetics. Recurrent topics in Haoxian Li's work include Pomegranate: compositions and health benefits (8 papers), Genomic variations and chromosomal abnormalities (7 papers) and Prenatal Screening and Diagnostics (6 papers). Haoxian Li is often cited by papers focused on Pomegranate: compositions and health benefits (8 papers), Genomic variations and chromosomal abnormalities (7 papers) and Prenatal Screening and Diagnostics (6 papers). Haoxian Li collaborates with scholars based in China, Australia and United States. Haoxian Li's co-authors include Lingqian Wu, Desheng Liang, Weigang Lv, Lina Chen, Shangyin Cao, Xiang Luo, Da Cao, Hui Xue, Juan Niu and Jing Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Haoxian Li

43 papers receiving 798 citations

Author Peers

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

Author						Papers	Cites
Haoxian Li	303	271	241	218	105	47	823
P. Sardá	327 1.1×	241 0.9×	173 0.7×	314 1.4×	79 0.8×	48	921
Jón J. Jónsson	617 2.0×	99 0.4×	73 0.3×	371 1.7×	49 0.5×	47	1.0k
Yanli Ji	424 1.4×	92 0.3×	54 0.2×	108 0.5×	71 0.7×	61	1.1k
James Amos‐Landgraf	500 1.7×	79 0.3×	74 0.3×	445 2.0×	24 0.2×	31	919
Juan Geng	326 1.1×	56 0.2×	68 0.3×	208 1.0×	33 0.3×	42	848
G Malpuech	305 1.0×	86 0.3×	37 0.2×	321 1.5×	39 0.4×	68	830
Francesco Susca	406 1.3×	70 0.3×	108 0.4×	245 1.1×	41 0.4×	48	980
James B. LaBorde	438 1.4×	65 0.2×	214 0.9×	81 0.4×	35 0.3×	30	947
Thomas A. Tedesco	407 1.3×	257 0.9×	88 0.4×	268 1.2×	23 0.2×	47	1.0k
Yukiko Kondo	404 1.3×	103 0.4×	32 0.1×	138 0.6×	34 0.3×	31	857

Countries citing papers authored by Haoxian Li

Since Specialization

Citations

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

Fields of papers citing papers by Haoxian Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haoxian Li

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