Renyuan Zhou

25 total papers · 601 total citations
16 papers, 442 citations indexed

About

Renyuan Zhou is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Urology. According to data from OpenAlex, Renyuan Zhou has authored 16 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Urology. Recurrent topics in Renyuan Zhou's work include Hormonal and reproductive studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Urinary Bladder and Prostate Research (3 papers). Renyuan Zhou is often cited by papers focused on Hormonal and reproductive studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Urinary Bladder and Prostate Research (3 papers). Renyuan Zhou collaborates with scholars based in China, United States and Italy. Renyuan Zhou's co-authors include Tong Yu, Lei Yang, Shuai Miao, Pengfei Chen, Yu Shen, Xiaoqiang Liu, Jiaqi Shi, Mark A. Nelson, A. K. Bhattacharyya and Fushi Wen and has published in prestigious journals such as PLoS ONE, Endocrinology and Journal of neurosurgery.

In The Last Decade

Renyuan Zhou

16 papers receiving 431 citations

Author Peers

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

Author						Papers	Cites
Renyuan Zhou	192	94	62	56	47	16	442
Sha Liu	169 0.9×	45 0.5×	118 1.9×	50 0.9×	74 1.6×	28	475
Stefanie Jörg	124 0.6×	81 0.9×	50 0.8×	35 0.6×	104 2.2×	11	463
K. Czeloth	189 1.0×	125 1.3×	50 0.8×	20 0.4×	67 1.4×	8	411
Anna Hammer	186 1.0×	56 0.6×	35 0.6×	27 0.5×	81 1.7×	11	430
Ahmed S. Kamel	146 0.8×	55 0.6×	70 1.1×	61 1.1×	18 0.4×	31	401
Saleena Alikunju	182 0.9×	162 1.7×	65 1.0×	29 0.5×	36 0.8×	15	483
Li Hu	170 0.9×	131 1.4×	62 1.0×	17 0.3×	58 1.2×	18	465
Haiyun Guo	174 0.9×	179 1.9×	63 1.0×	35 0.6×	69 1.5×	21	492
Hyunha Kim	217 1.1×	124 1.3×	36 0.6×	15 0.3×	53 1.1×	22	473
Hideo Tezuka	173 0.9×	65 0.7×	37 0.6×	27 0.5×	40 0.9×	26	491

Countries citing papers authored by Renyuan Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Renyuan Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renyuan Zhou

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