Hae Suk Cheong

76 total papers · 1.7k total citations
52 papers, 1.0k citations indexed

About

Hae Suk Cheong is a scholar working on Epidemiology, Molecular Medicine and Infectious Diseases. According to data from OpenAlex, Hae Suk Cheong has authored 52 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Epidemiology, 16 papers in Molecular Medicine and 12 papers in Infectious Diseases. Recurrent topics in Hae Suk Cheong's work include Antibiotic Resistance in Bacteria (16 papers), Urinary Tract Infections Management (7 papers) and Antibiotic Use and Resistance (7 papers). Hae Suk Cheong is often cited by papers focused on Antibiotic Resistance in Bacteria (16 papers), Urinary Tract Infections Management (7 papers) and Antibiotic Use and Resistance (7 papers). Hae Suk Cheong collaborates with scholars based in South Korea, United States and Sri Lanka. Hae Suk Cheong's co-authors include Kyong Ran Peck, Doo Ryeon Chung, Kwan Soo Ko, Cheol‐In Kang, Eun‐Jeong Joo, Nam Yong Lee, Jae‐Hoon Song, Min‐Jung Kwon, Jae‐Hoon Song and Yu Mi Wi and has published in prestigious journals such as Circulation Research, Clinical Infectious Diseases and Scientific Reports.

In The Last Decade

Hae Suk Cheong

51 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Hae Suk Cheong 428 349 287 173 139 52 1.0k
Myrto Christofidou 340 0.8× 410 1.2× 219 0.8× 119 0.7× 207 1.5× 40 832
Halis Akalın 378 0.9× 299 0.9× 195 0.7× 122 0.7× 94 0.7× 48 891
David Banach 480 1.1× 155 0.4× 275 1.0× 144 0.8× 97 0.7× 46 938
A. Péchinot 319 0.7× 378 1.1× 197 0.7× 136 0.8× 66 0.5× 61 1.0k
Frédéric Bert 448 1.0× 338 1.0× 270 0.9× 138 0.8× 38 0.3× 36 1.2k
Carlos Roberto Veiga Kiffer 334 0.8× 494 1.4× 162 0.6× 108 0.6× 245 1.8× 63 966
Dong Sik Jung 511 1.2× 390 1.1× 365 1.3× 154 0.9× 182 1.3× 41 1.1k
Farzin Khorvash 265 0.6× 208 0.6× 337 1.2× 185 1.1× 87 0.6× 109 1.0k
Patricia Volkow-Fernández 380 0.9× 344 1.0× 245 0.9× 120 0.7× 110 0.8× 90 1.1k
Jan G. den Hollander 472 1.1× 370 1.1× 287 1.0× 116 0.7× 106 0.8× 32 1.2k

Countries citing papers authored by Hae Suk Cheong

Since Specialization
Citations

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

Fields of papers citing papers by Hae Suk Cheong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hae Suk Cheong. 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 Hae Suk Cheong. The network helps show where Hae Suk Cheong may publish in the future.

Co-authorship network of co-authors of Hae Suk Cheong

This figure shows the co-authorship network connecting the top 25 collaborators of Hae Suk Cheong. A scholar is included among the top collaborators of Hae Suk Cheong 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 Hae Suk Cheong. Hae Suk Cheong 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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