Suying Yan

48 total papers · 823 total citations
29 papers, 520 citations indexed

About

Suying Yan is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Surgery. According to data from OpenAlex, Suying Yan has authored 29 papers receiving a total of 520 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 10 papers in Geriatrics and Gerontology and 8 papers in Surgery. Recurrent topics in Suying Yan's work include Pharmaceutical Practices and Patient Outcomes (9 papers), Medication Adherence and Compliance (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). Suying Yan is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (9 papers), Medication Adherence and Compliance (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). Suying Yan collaborates with scholars based in China, United States and Sweden. Suying Yan's co-authors include Ji‐Sheng Han, Yu‐Jing Yuan, Lars Terenius, Xin Xu, Shengjun Sun, Jianjun Hao, Dechun Jiang, Dan Jia, Yuqin Wang and Su Su and has published in prestigious journals such as Pain, Frontiers in Pharmacology and British Journal of Clinical Pharmacology.

In The Last Decade

Suying Yan

26 papers receiving 496 citations

Author Peers

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

Author						Papers	Cites
Suying Yan	174	160	92	84	72	29	520
Zhan Liang	87 0.5×	128 0.8×	91 1.0×	54 0.6×	27 0.4×	37	607
Eric Visser	131 0.8×	76 0.5×	214 2.3×	78 0.9×	144 2.0×	28	600
Katarina Vučić	117 0.7×	16 0.1×	97 1.1×	28 0.3×	58 0.8×	19	497
Martina Rekatsina	163 0.9×	27 0.2×	119 1.3×	46 0.5×	89 1.2×	50	569
Kevin Sykes	105 0.6×	112 0.7×	33 0.4×	49 0.6×	95 1.3×	20	546
Lingli Zhang	41 0.2×	55 0.3×	37 0.4×	32 0.4×	73 1.0×	41	551
Özlem Solak	72 0.4×	56 0.3×	154 1.7×	19 0.2×	201 2.8×	33	551
James M. Whedon	30 0.2×	101 0.6×	377 4.1×	54 0.6×	94 1.3×	47	614
S. G. Kelsen	182 1.0×	80 0.5×	24 0.3×	25 0.3×	48 0.7×	27	585
Tim Church	253 1.5×	51 0.3×	24 0.3×	18 0.2×	46 0.6×	14	562

Countries citing papers authored by Suying Yan

Since Specialization

Citations

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

Fields of papers citing papers by Suying Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suying Yan

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