Xunshan Ren

18 total papers · 448 total citations
17 papers, 265 citations indexed

About

Xunshan Ren is a scholar working on Molecular Biology, Rheumatology and Physiology. According to data from OpenAlex, Xunshan Ren has authored 17 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Rheumatology and 6 papers in Physiology. Recurrent topics in Xunshan Ren's work include Osteoarthritis Treatment and Mechanisms (7 papers), Erythrocyte Function and Pathophysiology (4 papers) and Cancer-related molecular mechanisms research (4 papers). Xunshan Ren is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (7 papers), Erythrocyte Function and Pathophysiology (4 papers) and Cancer-related molecular mechanisms research (4 papers). Xunshan Ren collaborates with scholars based in China. Xunshan Ren's co-authors include Panghu Zhou, Huangming Zhuang, Yuelong Zhang, Changgeng Xu, Bin Li, Bin Li, Huajie Li, Bin Li, Ting Xie and Yu Yang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Food and Chemical Toxicology.

In The Last Decade

Xunshan Ren

16 papers receiving 264 citations

Author Peers

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

Author						Papers	Cites
Xunshan Ren	131	83	72	39	35	17	265
Huangming Zhuang	115 0.9×	82 1.0×	71 1.0×	39 1.0×	25 0.7×	18	267
Junqi Cui	81 0.6×	46 0.6×	68 0.9×	19 0.5×	16 0.5×	21	242
Deying Su	109 0.8×	35 0.4×	44 0.6×	18 0.5×	23 0.7×	16	247
Jinna Wu	123 0.9×	32 0.4×	46 0.6×	59 1.5×	57 1.6×	18	317
Shaochuan Huo	116 0.9×	38 0.5×	36 0.5×	22 0.6×	47 1.3×	22	282
Kongzu Hu	117 0.9×	21 0.3×	62 0.9×	25 0.6×	62 1.8×	14	264
Weisong Cai	111 0.8×	33 0.4×	71 1.0×	20 0.5×	44 1.3×	20	263
Jae-Min Cho	74 0.6×	49 0.6×	44 0.6×	102 2.6×	34 1.0×	15	283
Guihua Tan	102 0.8×	25 0.3×	143 2.0×	16 0.4×	31 0.9×	17	280
Tingting Lv	93 0.7×	32 0.4×	42 0.6×	65 1.7×	34 1.0×	27	305

Countries citing papers authored by Xunshan Ren

Since Specialization

Citations

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

Fields of papers citing papers by Xunshan Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xunshan Ren

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