Shu-Chen Wu

17 total papers · 599 total citations
13 papers, 473 citations indexed

About

Shu-Chen Wu is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Emergency Medicine. According to data from OpenAlex, Shu-Chen Wu has authored 13 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Surgery and 3 papers in Emergency Medicine. Recurrent topics in Shu-Chen Wu's work include Trauma and Emergency Care Studies (3 papers), Statistical Methods and Inference (2 papers) and Renal and Vascular Pathologies (2 papers). Shu-Chen Wu is often cited by papers focused on Trauma and Emergency Care Studies (3 papers), Statistical Methods and Inference (2 papers) and Renal and Vascular Pathologies (2 papers). Shu-Chen Wu collaborates with scholars based in United States. Shu-Chen Wu's co-authors include Warren J. Warwick, Catherine L. Wielinski, Stanley M. Finkelstein, David J. Klein, Greg R. Elliott, José Barbosa, Eugene Ackerman, John M. Weller, Steven R. Gundry and Walter M. Whitehouse and has published in prestigious journals such as Kidney International, CHEST Journal and Journal of Clinical Epidemiology.

In The Last Decade

Shu-Chen Wu

13 papers receiving 450 citations

Author Peers

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

Author						Papers	Cites
Shu-Chen Wu	274	146	54	44	42	13	473
Pietro Bisagni	138 0.5×	191 1.3×	22 0.4×	8 0.2×	34 0.8×	14	510
Eileen Brennan	221 0.8×	184 1.3×	10 0.2×	18 0.4×	30 0.7×	13	443
Michael A. Basha	120 0.4×	77 0.5×	96 1.8×	10 0.2×	25 0.6×	9	409
G. Harris	263 1.0×	102 0.7×	35 0.6×	5 0.1×	75 1.8×	10	475
F G Ellis	237 0.9×	186 1.3×	25 0.5×	11 0.3×	6 0.1×	23	533
Shekhar S. Raj	84 0.3×	145 1.0×	15 0.3×	34 0.8×	112 2.7×	18	450
James Berman	79 0.3×	205 1.4×	25 0.5×	8 0.2×	9 0.2×	28	515
Kera F. Weiserbs	52 0.2×	84 0.6×	39 0.7×	29 0.7×	29 0.7×	13	537
Saba Radhi	115 0.4×	170 1.2×	31 0.6×	22 0.5×	33 0.8×	24	480
Marcus T. Haug	60 0.2×	203 1.4×	49 0.9×	17 0.4×	40 1.0×	20	467

Countries citing papers authored by Shu-Chen Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shu-Chen Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu-Chen Wu

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