Nay Htun

76 total papers · 2.1k total citations
43 papers, 912 citations indexed

About

Nay Htun is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nay Htun has authored 43 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cardiology and Cardiovascular Medicine, 23 papers in Epidemiology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nay Htun's work include Cardiac Valve Diseases and Treatments (25 papers), Infective Endocarditis Diagnosis and Management (20 papers) and Cardiac Imaging and Diagnostics (10 papers). Nay Htun is often cited by papers focused on Cardiac Valve Diseases and Treatments (25 papers), Infective Endocarditis Diagnosis and Management (20 papers) and Cardiac Imaging and Diagnostics (10 papers). Nay Htun collaborates with scholars based in Australia, Canada and United Kingdom. Nay Htun's co-authors include Karlheinz Peter, Yung‐Chih Chen, Antony Walton, Jennifer Rivera, Dion Stub, Stephen J. Duffy, Steffen U. Eisenhardt, Micha T. Maeder, David M. Kaye and Richard Manasseh and has published in prestigious journals such as Circulation, Nature Communications and PLoS ONE.

In The Last Decade

Nay Htun

40 papers receiving 905 citations

Author Peers

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

Author						Papers	Cites
Nay Htun	376	250	212	197	192	43	912
Tatsuo Iiyama	198 0.5×	237 0.9×	131 0.6×	241 1.2×	179 0.9×	47	1.0k
Jeremy Ben‐Shoshan	375 1.0×	183 0.7×	198 0.9×	178 0.9×	216 1.1×	59	882
Delphine Corseaux	352 0.9×	388 1.6×	280 1.3×	309 1.6×	183 1.0×	46	1.2k
Kurt L. Berens	285 0.8×	304 1.2×	87 0.4×	214 1.1×	171 0.9×	30	1.1k
Yasuyuki Kawai	241 0.6×	298 1.2×	93 0.4×	154 0.8×	107 0.6×	58	892
Christina Grothusen	303 0.8×	179 0.7×	181 0.9×	187 0.9×	276 1.4×	52	844
Ramzi Khamis	229 0.6×	176 0.7×	90 0.4×	216 1.1×	232 1.2×	36	835
Robert Thomas	345 0.9×	171 0.7×	107 0.5×	337 1.7×	99 0.5×	51	980
Yunhe Liu	343 0.9×	418 1.7×	91 0.4×	175 0.9×	163 0.8×	51	1.1k
Jesús Sánchez‐Más	435 1.2×	255 1.0×	138 0.7×	195 1.0×	212 1.1×	34	1.1k

Countries citing papers authored by Nay Htun

Since Specialization

Citations

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

Fields of papers citing papers by Nay Htun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nay Htun

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