Ji‐Hyun Cho

108 total papers · 1.7k total citations
70 papers, 1.2k citations indexed

About

Ji‐Hyun Cho is a scholar working on Epidemiology, Electrical and Electronic Engineering and Physiology. According to data from OpenAlex, Ji‐Hyun Cho has authored 70 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 11 papers in Electrical and Electronic Engineering and 8 papers in Physiology. Recurrent topics in Ji‐Hyun Cho's work include Urinary Tract Infections Management (6 papers), Antibiotic Resistance in Bacteria (6 papers) and Hepatitis C virus research (5 papers). Ji‐Hyun Cho is often cited by papers focused on Urinary Tract Infections Management (6 papers), Antibiotic Resistance in Bacteria (6 papers) and Hepatitis C virus research (5 papers). Ji‐Hyun Cho collaborates with scholars based in South Korea, United States and Canada. Ji‐Hyun Cho's co-authors include Natalie Parletta, Dorota Zarnowiecki, Barbara J. Meyer, Amy Wilson, Kerin O’Dea, Svetlana Bogomolova, Catherine Itsiopoulos, Anthony Villani, Sarah Blunden and Leonie Segal and has published in prestigious journals such as SHILAP Revista de lepidopterología, Emerging infectious diseases and IEEE Journal of Solid-State Circuits.

In The Last Decade

Ji‐Hyun Cho

64 papers receiving 1.2k citations

Hit Papers

A Mediterranean-style die... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ji‐Hyun Cho 232 223 198 189 186 70 1.2k
Μαρία Αθανασίου 82 0.4× 41 0.2× 187 0.9× 195 1.0× 133 0.7× 36 1.3k
Jiawei Bai 164 0.7× 288 1.3× 292 1.5× 75 0.4× 43 0.2× 40 1.1k
Ashley Petersen 40 0.2× 88 0.4× 651 3.3× 149 0.8× 49 0.3× 48 1.1k
Wenting Zhang 92 0.4× 126 0.6× 519 2.6× 28 0.1× 113 0.6× 101 1.5k
Haili Wang 99 0.4× 213 1.0× 188 0.9× 28 0.1× 103 0.6× 66 1.2k
Ivan Barišić 32 0.1× 80 0.4× 418 2.1× 163 0.9× 65 0.3× 81 1.1k
Ingrid Moráles 41 0.2× 123 0.6× 232 1.2× 130 0.7× 218 1.2× 43 1.3k
Ae‐Ran Kim 201 0.9× 131 0.6× 105 0.5× 116 0.6× 56 0.3× 125 1.5k
Jacob E. Simmering 65 0.3× 180 0.8× 222 1.1× 60 0.3× 292 1.6× 41 1.2k
Woong Jin Bae 97 0.4× 40 0.2× 202 1.0× 32 0.2× 111 0.6× 121 1.3k

Countries citing papers authored by Ji‐Hyun Cho

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Hyun Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji‐Hyun Cho

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