Li-Ming Gan

16 total papers · 1.1k total citations
11 papers, 580 citations indexed

About

Li-Ming Gan is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Li-Ming Gan has authored 11 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Molecular Biology. Recurrent topics in Li-Ming Gan's work include Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Heart Failure Treatment and Management (2 papers). Li-Ming Gan is often cited by papers focused on Cardiac Imaging and Diagnostics (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Heart Failure Treatment and Management (2 papers). Li-Ming Gan collaborates with scholars based in Sweden, United States and Netherlands. Li-Ming Gan's co-authors include Sara Svedlund, Maria Lagerström‐Fermér, Lars H. Lund, Antti Saraste, Carolyn S.P. Lam, Camilla Hage, Sanjiv J. Shah, Ulrika Ljung Faxén, Lauren Beussink‐Nelson and Ru‐San Tan and has published in prestigious journals such as European Heart Journal, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Molecular and Cellular Cardiology.

In The Last Decade

Li-Ming Gan

10 papers receiving 573 citations

Hit Papers

Prevalence and correlates... 2018 2026 2020 2023 2018 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Li-Ming Gan 475 192 104 72 62 11 580
Pietro Paolo Campa 336 0.7× 214 1.1× 131 1.3× 57 0.8× 87 1.4× 20 650
Teruhiko Itoh 385 0.8× 344 1.8× 166 1.6× 49 0.7× 42 0.7× 6 597
Hisao Ogawa 389 0.8× 195 1.0× 136 1.3× 80 1.1× 73 1.2× 15 600
S Jost 335 0.7× 158 0.8× 203 2.0× 117 1.6× 82 1.3× 18 590
Phillip Apprill 341 0.7× 146 0.8× 112 1.1× 27 0.4× 74 1.2× 9 498
Olli‐Pekka Pitkänen 320 0.7× 232 1.2× 118 1.1× 84 1.2× 53 0.9× 8 610
Prapti Kanani 261 0.5× 94 0.5× 134 1.3× 43 0.6× 36 0.6× 9 589
E K van den Berg 308 0.6× 165 0.9× 294 2.8× 36 0.5× 47 0.8× 9 585
M. Mundhenke 504 1.1× 177 0.9× 88 0.8× 60 0.8× 43 0.7× 14 561
Yoshito Inobe 386 0.8× 250 1.3× 134 1.3× 57 0.8× 34 0.5× 15 578

Countries citing papers authored by Li-Ming Gan

Since Specialization
Citations

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

Fields of papers citing papers by Li-Ming Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li-Ming Gan. 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 Li-Ming Gan. The network helps show where Li-Ming Gan may publish in the future.

Co-authorship network of co-authors of Li-Ming Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Li-Ming Gan. A scholar is included among the top collaborators of Li-Ming Gan 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 Li-Ming Gan. Li-Ming Gan 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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