Xiaoli Yang

66 total papers · 1.2k total citations
33 papers, 569 citations indexed

About

Xiaoli Yang is a scholar working on Molecular Biology, Immunology and Nephrology. According to data from OpenAlex, Xiaoli Yang has authored 33 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Nephrology. Recurrent topics in Xiaoli Yang's work include Renal Diseases and Glomerulopathies (5 papers), Galectins and Cancer Biology (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). Xiaoli Yang is often cited by papers focused on Renal Diseases and Glomerulopathies (5 papers), Galectins and Cancer Biology (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). Xiaoli Yang collaborates with scholars based in China, United States and Czechia. Xiaoli Yang's co-authors include Congwen Wei, Kai Guan, Zirui Zheng, Hui Zhong, Chaoyang Wen, Ting Song, Jian‐Jiang Zhong, Yanhong Zhang, Yu Liu and Yongxia Jia and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Xiaoli Yang

29 papers receiving 562 citations

Author Peers

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

Author						Papers	Cites
Xiaoli Yang	202	201	190	118	53	33	569
Julie Peltier	112 0.6×	206 1.0×	84 0.4×	122 1.0×	130 2.5×	30	526
Natasa Isailovic	252 1.2×	155 0.8×	201 1.1×	45 0.4×	12 0.2×	35	693
Mika Ide	103 0.5×	119 0.6×	116 0.6×	119 1.0×	35 0.7×	29	503
Kazuma Sekiba	70 0.3×	299 1.5×	209 1.1×	121 1.0×	47 0.9×	37	583
Kohei Oda	80 0.4×	150 0.7×	238 1.3×	167 1.4×	18 0.3×	45	517
Mengjia Hu	134 0.7×	233 1.2×	58 0.3×	21 0.2×	62 1.2×	30	570
Ying Zhang	115 0.6×	159 0.8×	104 0.5×	44 0.4×	20 0.4×	30	526
Saleh Yazdani	62 0.3×	178 0.9×	73 0.4×	48 0.4×	99 1.9×	25	652
Ali Rıza Köksal	74 0.4×	114 0.6×	151 0.8×	45 0.4×	8 0.2×	38	529
Yue Yang	88 0.4×	281 1.4×	68 0.4×	96 0.8×	9 0.2×	24	527

Countries citing papers authored by Xiaoli Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoli Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Yang

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