Yin Wu

72 total papers · 705 total citations
31 papers, 433 citations indexed

About

Yin Wu is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Rehabilitation. According to data from OpenAlex, Yin Wu has authored 31 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 9 papers in Complementary and alternative medicine and 7 papers in Rehabilitation. Recurrent topics in Yin Wu's work include Cardiovascular and exercise physiology (9 papers), Stroke Rehabilitation and Recovery (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). Yin Wu is often cited by papers focused on Cardiovascular and exercise physiology (9 papers), Stroke Rehabilitation and Recovery (6 papers) and Heart Rate Variability and Autonomic Control (6 papers). Yin Wu collaborates with scholars based in United States, China and Hong Kong. Yin Wu's co-authors include Linda S. Pescatello, J. M. Livingston, Yong Tai Wang, Elisabeth O. Burgess, Amanda L. Zaleski, Gregory A. Panza, Blair T. Johnson, Alexander J. Szalai, Benjamin C.Y. Wong and Xiao Ru Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hypertension and Medicine & Science in Sports & Exercise.

In The Last Decade

Yin Wu

26 papers receiving 425 citations

Author Peers

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

Author						Papers	Cites
Yin Wu	167	101	86	60	51	31	433
Ryoma Michishita	127 0.8×	102 1.0×	56 0.7×	37 0.6×	17 0.3×	39	468
Samantha Bond	145 0.9×	104 1.0×	68 0.8×	33 0.6×	13 0.3×	26	420
Lisa M. Cotie	155 0.9×	136 1.3×	100 1.2×	30 0.5×	12 0.2×	26	398
Buse Özcan Kahraman	82 0.5×	53 0.5×	66 0.8×	25 0.4×	51 1.0×	50	420
Florent Besnier	240 1.4×	85 0.8×	161 1.9×	41 0.7×	10 0.2×	34	461
Albená Nunes-Silva	95 0.6×	146 1.4×	69 0.8×	116 1.9×	16 0.3×	40	457
Dalynn T. Badenhop	285 1.7×	75 0.7×	113 1.3×	40 0.7×	15 0.3×	13	446
Federica Duregon	48 0.3×	159 1.6×	53 0.6×	46 0.8×	76 1.5×	27	494
Andjelka Pavlovic	146 0.9×	124 1.2×	72 0.8×	12 0.2×	24 0.5×	39	387
Thiago Rozales Ramis	175 1.0×	134 1.3×	188 2.2×	65 1.1×	24 0.5×	29	486

Countries citing papers authored by Yin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Wu

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