Nan Xiao

22 total papers · 1.5k total citations
15 papers, 1.0k citations indexed

About

Nan Xiao is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Computational Mechanics. According to data from OpenAlex, Nan Xiao has authored 15 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 5 papers in Computational Mechanics. Recurrent topics in Nan Xiao's work include Cardiovascular Health and Disease Prevention (6 papers), Cardiovascular Function and Risk Factors (6 papers) and Coronary Interventions and Diagnostics (5 papers). Nan Xiao is often cited by papers focused on Cardiovascular Health and Disease Prevention (6 papers), Cardiovascular Function and Risk Factors (6 papers) and Coronary Interventions and Diagnostics (5 papers). Nan Xiao collaborates with scholars based in United States, United Kingdom and France. Nan Xiao's co-authors include C. Alberto Figueroa, Jordi Alastruey, Charles A. Taylor, Jay D. Humphrey, Philippe Moireau, Dominique Chapelle, Matteo Astorino, Jean-Frédéric Gerbeau, Tobias Schaeffter and Henry Fok and has published in prestigious journals such as PLoS ONE, Journal of Fluid Mechanics and Journal of Computational Physics.

In The Last Decade

Nan Xiao

15 papers receiving 988 citations

Author Peers

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

Author						Papers	Cites
Nan Xiao	624	382	352	250	141	15	1.0k
Gerhard Rappitsch	560 0.9×	357 0.9×	706 2.0×	217 0.9×	242 1.7×	26	1.1k
Vijay Vedula	616 1.0×	175 0.5×	213 0.6×	239 1.0×	165 1.2×	34	958
J. de Hart	704 1.1×	271 0.7×	357 1.0×	329 1.3×	351 2.5×	15	1.2k
Nic Smith	638 1.0×	202 0.5×	140 0.4×	291 1.2×	78 0.6×	34	1.1k
Kenneth R. Kensey	453 0.7×	548 1.4×	547 1.6×	259 1.0×	177 1.3×	26	1.2k
J. A. Moore	467 0.7×	362 0.9×	518 1.5×	128 0.5×	116 0.8×	17	935
Tain-Yen Hsia	317 0.5×	222 0.6×	303 0.9×	258 1.0×	137 1.0×	28	848
Michael Resch	411 0.7×	306 0.8×	436 1.2×	156 0.6×	232 1.6×	34	999
Vanessa Díaz‐Zuccarini	504 0.8×	426 1.1×	300 0.9×	142 0.6×	33 0.2×	64	915
Radomír Chabiniok	641 1.0×	65 0.2×	204 0.6×	372 1.5×	89 0.6×	43	970

Countries citing papers authored by Nan Xiao

Since Specialization

Citations

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

Fields of papers citing papers by Nan Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Xiao

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