Di Shen

65 total papers · 987 total citations
30 papers, 337 citations indexed

About

Di Shen is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Di Shen has authored 30 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Di Shen's work include Hormonal Regulation and Hypertension (7 papers), Vitamin D Research Studies (3 papers) and Blood Pressure and Hypertension Studies (3 papers). Di Shen is often cited by papers focused on Hormonal Regulation and Hypertension (7 papers), Vitamin D Research Studies (3 papers) and Blood Pressure and Hypertension Studies (3 papers). Di Shen collaborates with scholars based in China, United States and Switzerland. Di Shen's co-authors include Nanfang Li, Xintian Cai, Shuaiwei Song, Wenbo Yang, Zhao Ma, Michael Gatheru Waigi, Wanting Ling, Yanzheng Gao, Qing Zhu and Hui Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Di Shen

23 papers receiving 332 citations

Author Peers

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

Author						Papers	Cites
Di Shen	94	84	64	57	46	30	337
Xiaoqiang Ding	37 0.4×	67 0.8×	17 0.3×	15 0.3×	106 2.3×	24	398
Kohei Uriu	25 0.3×	61 0.7×	51 0.8×	48 0.8×	52 1.1×	33	392
Nurcan Kılıç Baygutalp	57 0.6×	43 0.5×	17 0.3×	11 0.2×	46 1.0×	33	369
Jing Wang	69 0.7×	34 0.4×	12 0.2×	14 0.2×	63 1.4×	35	328
Yiting Lu	28 0.3×	78 0.9×	128 2.0×	80 1.4×	87 1.9×	42	384
Soo Geun Kim	29 0.3×	92 1.1×	45 0.7×	21 0.4×	14 0.3×	25	394
Iolanthé M. Kruger	16 0.2×	49 0.6×	43 0.7×	40 0.7×	45 1.0×	43	337
Ramazan Kocabaş	12 0.1×	57 0.7×	45 0.7×	52 0.9×	39 0.8×	23	339
Da‐Wei Wu	23 0.2×	73 0.9×	43 0.7×	42 0.7×	15 0.3×	45	354
Xiaowei Dong	24 0.3×	48 0.6×	26 0.4×	40 0.7×	47 1.0×	19	372

Countries citing papers authored by Di Shen

Since Specialization

Citations

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

Fields of papers citing papers by Di Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Shen

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