Su‐Hyun Jo

16 total papers · 848 total citations
15 papers, 657 citations indexed

About

Su‐Hyun Jo is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Su‐Hyun Jo has authored 15 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Su‐Hyun Jo's work include Ion channel regulation and function (9 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Receptor Mechanisms and Signaling (6 papers). Su‐Hyun Jo is often cited by papers focused on Ion channel regulation and function (9 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Receptor Mechanisms and Signaling (6 papers). Su‐Hyun Jo collaborates with scholars based in South Korea, United States and Singapore. Su‐Hyun Jo's co-authors include Rui-Ping Xiao, Michael T. Crow, Véronique Leblais, Peter P. Rainer, David A. Kass, Ping H. Wang, Djahida Bedja, Dong I. Lee, Ronald J. Holewinski and Nazha Hamdani and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Su‐Hyun Jo

14 papers receiving 651 citations

Author Peers

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

Author						Papers	Cites
Su‐Hyun Jo	426	310	111	100	65	15	657
Hisanori Hazama	329 0.8×	243 0.8×	127 1.1×	66 0.7×	32 0.5×	23	639
Yuan‐Jian Li	235 0.6×	290 0.9×	109 1.0×	33 0.3×	157 2.4×	15	703
Prakash Subramanyam	467 1.1×	224 0.7×	110 1.0×	27 0.3×	71 1.1×	14	791
Amy S. Miner	274 0.6×	120 0.4×	152 1.4×	49 0.5×	33 0.5×	23	653
Frank Begrow	374 0.9×	352 1.1×	94 0.8×	30 0.3×	29 0.4×	16	731
C. Blake Nichols	491 1.2×	262 0.8×	74 0.7×	31 0.3×	24 0.4×	12	599
Julio Altamirano	427 1.0×	265 0.9×	65 0.6×	30 0.3×	36 0.6×	20	650
Junya Kawasaki	306 0.7×	203 0.7×	150 1.4×	29 0.3×	25 0.4×	17	642
Mehmet Uğur	313 0.7×	204 0.7×	150 1.4×	42 0.4×	20 0.3×	24	696
Jennifer B. Stott	457 1.1×	315 1.0×	120 1.1×	32 0.3×	23 0.4×	19	596

Countries citing papers authored by Su‐Hyun Jo

Since Specialization

Citations

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

Fields of papers citing papers by Su‐Hyun Jo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su‐Hyun Jo. 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 Su‐Hyun Jo. The network helps show where Su‐Hyun Jo may publish in the future.

Co-authorship network of co-authors of Su‐Hyun Jo

This figure shows the co-authorship network connecting the top 25 collaborators of Su‐Hyun Jo. A scholar is included among the top collaborators of Su‐Hyun Jo 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 Su‐Hyun Jo. Su‐Hyun Jo 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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