Xiaoyun Shan

46 total papers · 633 total citations
35 papers, 485 citations indexed

About

Xiaoyun Shan is a scholar working on Nephrology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Xiaoyun Shan has authored 35 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nephrology, 8 papers in Pathology and Forensic Medicine and 7 papers in Molecular Biology. Recurrent topics in Xiaoyun Shan's work include Chronic Kidney Disease and Diabetes (6 papers), Vitamin D Research Studies (5 papers) and Parathyroid Disorders and Treatments (4 papers). Xiaoyun Shan is often cited by papers focused on Chronic Kidney Disease and Diabetes (6 papers), Vitamin D Research Studies (5 papers) and Parathyroid Disorders and Treatments (4 papers). Xiaoyun Shan collaborates with scholars based in China, Taiwan and Hong Kong. Xiaoyun Shan's co-authors include Qing Feng, Pengqi Wang, Guozhong Chen, Pan Jiang, Huabin Wang, Yuan Li, Edward C. Y. Liew, Mark A. Weatherhead, I. J. Hodgkiss and Xuemin Wang and has published in prestigious journals such as Nutrients, Experimental Neurology and Food and Chemical Toxicology.

In The Last Decade

Xiaoyun Shan

35 papers receiving 473 citations

Author Peers

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

Author						Papers	Cites
Xiaoyun Shan	191	62	58	49	48	35	485
Maryam Zare	222 1.2×	55 0.9×	88 1.5×	23 0.5×	37 0.8×	35	515
Shahanshah Khan	261 1.4×	56 0.9×	48 0.8×	26 0.5×	31 0.6×	20	542
Junping Hu	214 1.1×	58 0.9×	36 0.6×	25 0.5×	22 0.5×	40	489
Weiwei Li	217 1.1×	32 0.5×	35 0.6×	78 1.6×	27 0.6×	28	464
Arman Ghorbani	163 0.9×	44 0.7×	42 0.7×	32 0.7×	32 0.7×	22	425
Shivananda Nayak	107 0.6×	85 1.4×	36 0.6×	27 0.6×	43 0.9×	42	530
Yanhua Wang	141 0.7×	52 0.8×	38 0.7×	37 0.8×	29 0.6×	43	502
Naiqi Zhang	132 0.7×	54 0.9×	42 0.7×	37 0.8×	46 1.0×	28	433
Eva Kristiansen	144 0.8×	37 0.6×	70 1.2×	114 2.3×	27 0.6×	32	481
Arash Ghasemi	115 0.6×	49 0.8×	54 0.9×	40 0.8×	18 0.4×	38	501

Countries citing papers authored by Xiaoyun Shan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaoyun Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyun Shan

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