Ethan N. Chiang

13 total papers · 539 total citations
6 papers, 422 citations indexed

About

Ethan N. Chiang is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ethan N. Chiang has authored 6 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 1 paper in Surgery and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Ethan N. Chiang's work include Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Health Policy Implementation Science (1 paper) and Thermal and Kinetic Analysis (1 paper). Ethan N. Chiang is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Health Policy Implementation Science (1 paper) and Thermal and Kinetic Analysis (1 paper). Ethan N. Chiang collaborates with scholars based in United States. Ethan N. Chiang's co-authors include Barbara Baird, Sarah L. Veatch, David A. Holowka, Sarah A. Shelby, Benjamin B. Machta, Frederick R. Maxfield, Lynda M. Pierini, Adina R. Buxbaum, Inna Grosheva and Abigail S. Haka and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and Langmuir.

In The Last Decade

Ethan N. Chiang

6 papers receiving 418 citations

Author Peers

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

Author Last Decade Papers Cites
Ethan N. Chiang 167 145 72 67 57 6 422
Antonia Göhler 232 1.4× 158 1.1× 77 1.1× 85 1.3× 52 0.9× 9 403
Lucie Sengmanivong 228 1.4× 39 0.3× 52 0.7× 68 1.0× 20 0.4× 15 430
Guillaume Allio 322 1.9× 46 0.3× 68 0.9× 44 0.7× 44 0.8× 8 428
Zhengmin Yang 209 1.3× 119 0.8× 33 0.5× 139 2.1× 39 0.7× 16 412
Kazuaki Sawada 116 0.7× 117 0.8× 105 1.5× 37 0.6× 15 0.3× 12 385
Andrea M. Dickey 276 1.7× 45 0.3× 89 1.2× 28 0.4× 27 0.5× 11 477
Márton Gelléri 218 1.3× 149 1.0× 56 0.8× 34 0.5× 63 1.1× 18 427
Irmeli Barkefors 286 1.7× 54 0.4× 132 1.8× 31 0.5× 14 0.2× 11 479
Elza Kuzmenkina 347 2.1× 83 0.6× 19 0.3× 54 0.8× 15 0.3× 13 422
Arthur Jones 267 1.6× 102 0.7× 16 0.2× 10 0.1× 18 0.3× 9 482

Countries citing papers authored by Ethan N. Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Ethan N. Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ethan N. Chiang. 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 Ethan N. Chiang. The network helps show where Ethan N. Chiang may publish in the future.

Co-authorship network of co-authors of Ethan N. Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Ethan N. Chiang. A scholar is included among the top collaborators of Ethan N. Chiang 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 Ethan N. Chiang. Ethan N. Chiang 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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