Rufei Shen

34 total papers · 591 total citations
19 papers, 329 citations indexed

About

Rufei Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Rufei Shen has authored 19 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Surgery and 5 papers in Molecular Biology. Recurrent topics in Rufei Shen's work include Pituitary Gland Disorders and Treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adrenal and Paraganglionic Tumors (4 papers). Rufei Shen is often cited by papers focused on Pituitary Gland Disorders and Treatments (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers) and Adrenal and Paraganglionic Tumors (4 papers). Rufei Shen collaborates with scholars based in China, United States and Israel. Rufei Shen's co-authors include Hongting Zheng, Min Long, Hua Qu, Xing Li, Lun Tan, Dao Wen Wang, Jun Wu, Lina Zhang, Xiuli Wang and Houjuan Zuo and has published in prestigious journals such as Medicine, Oncotarget and Frontiers in Endocrinology.

In The Last Decade

Rufei Shen

17 papers receiving 322 citations

Author Peers

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

Author						Papers	Cites
Rufei Shen	131	111	89	67	60	19	329
L Kazdová	75 0.6×	156 1.4×	111 1.2×	48 0.7×	45 0.8×	18	352
Maria Andrikoula	133 1.0×	79 0.7×	70 0.8×	53 0.8×	61 1.0×	15	336
Tsuyoshi Ohkura	144 1.1×	181 1.6×	47 0.5×	63 0.9×	41 0.7×	20	363
Ermina Bach	80 0.6×	94 0.8×	112 1.3×	32 0.5×	76 1.3×	15	331
Gloria Michelle Ducasa	55 0.4×	128 1.2×	53 0.6×	76 1.1×	78 1.3×	15	357
Xiaohui Xu	69 0.5×	126 1.1×	114 1.3×	70 1.0×	63 1.1×	13	348
Noriko Takebe	119 0.9×	52 0.5×	62 0.7×	75 1.1×	103 1.7×	23	366
Akio Ohta	185 1.4×	65 0.6×	52 0.6×	90 1.3×	50 0.8×	20	362
Min Ho Cho	124 0.9×	68 0.6×	89 1.0×	67 1.0×	85 1.4×	25	353
Naoufel Nabli	105 0.8×	41 0.4×	78 0.9×	89 1.3×	126 2.1×	27	345

Countries citing papers authored by Rufei Shen

Since Specialization

Citations

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

Fields of papers citing papers by Rufei Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rufei Shen

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