Emma M.L. Chung

102 total papers · 1.4k total citations
60 papers, 936 citations indexed

About

Emma M.L. Chung is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Emma M.L. Chung has authored 60 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 16 papers in Neurology and 16 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Emma M.L. Chung's work include Cerebrovascular and Carotid Artery Diseases (14 papers), Acute Ischemic Stroke Management (13 papers) and Traumatic Brain Injury and Neurovascular Disturbances (10 papers). Emma M.L. Chung is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (14 papers), Acute Ischemic Stroke Management (13 papers) and Traumatic Brain Injury and Neurovascular Disturbances (10 papers). Emma M.L. Chung collaborates with scholars based in United Kingdom, United States and Saudi Arabia. Emma M.L. Chung's co-authors include Nikil Patel, Jatinder S. Minhas, David H. Evans, J. P. Hague, Kumar V. Ramnarine, Joseph A. Gagliardi, Kevin P. Christensen, Mark Hansen, V P Chandnani and G. Balakrishnan and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

Emma M.L. Chung

56 papers receiving 916 citations

Author Peers

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

Author Last Decade Papers Cites
Emma M.L. Chung 226 225 214 186 161 60 936
Amit Banerjee 290 1.3× 211 0.9× 210 1.0× 97 0.5× 81 0.5× 113 1.1k
Yoshikazu Matsuda 516 2.3× 207 0.9× 85 0.4× 121 0.7× 235 1.5× 84 995
Barry Harrison 376 1.7× 188 0.8× 92 0.4× 197 1.1× 41 0.3× 46 877
Кazuo Maeda 182 0.8× 214 1.0× 96 0.4× 100 0.5× 28 0.2× 82 1.0k
Hiroshi Aikawa 105 0.5× 412 1.8× 127 0.6× 210 1.1× 406 2.5× 101 859
J Langlois 501 2.2× 337 1.5× 317 1.5× 255 1.4× 22 0.1× 66 991
Akira Mishima 219 1.0× 129 0.6× 119 0.6× 108 0.6× 26 0.2× 90 1.0k
Masanori Ishii 177 0.8× 199 0.9× 289 1.4× 128 0.7× 27 0.2× 122 1.2k
Mudit Sharma 100 0.4× 602 2.7× 295 1.4× 391 2.1× 515 3.2× 32 1.2k
Hideaki Watanabe 172 0.8× 70 0.3× 63 0.3× 114 0.6× 188 1.2× 90 820

Countries citing papers authored by Emma M.L. Chung

Since Specialization
Citations

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

Fields of papers citing papers by Emma M.L. Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emma M.L. Chung. 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 Emma M.L. Chung. The network helps show where Emma M.L. Chung may publish in the future.

Co-authorship network of co-authors of Emma M.L. Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Emma M.L. Chung. A scholar is included among the top collaborators of Emma M.L. Chung 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 Emma M.L. Chung. Emma M.L. Chung 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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