Hyun‐Ha Chang

175 total papers · 5.3k total citations
117 papers, 2.4k citations indexed

About

Hyun‐Ha Chang is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Hyun‐Ha Chang has authored 117 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Infectious Diseases, 39 papers in Epidemiology and 17 papers in Molecular Medicine. Recurrent topics in Hyun‐Ha Chang's work include Antibiotic Resistance in Bacteria (17 papers), HIV/AIDS drug development and treatment (16 papers) and HIV/AIDS Research and Interventions (13 papers). Hyun‐Ha Chang is often cited by papers focused on Antibiotic Resistance in Bacteria (17 papers), HIV/AIDS drug development and treatment (16 papers) and HIV/AIDS Research and Interventions (13 papers). Hyun‐Ha Chang collaborates with scholars based in South Korea, United States and Singapore. Hyun‐Ha Chang's co-authors include Shin‐Woo Kim, Kyong Ran Peck, Ki Tae Kwon, Yoonjung Kim, Sook‐In Jung, Sohyun Bae, Kwan Soo Ko, Kim Ys, Doo Ryeon Chung and Jae‐Hoon Song and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Hyun‐Ha Chang

112 papers receiving 2.4k citations

Hit Papers

Long COVID prevalence and... 2023 2026 2024 2023 25 50 75

Author Peers

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

Author Last Decade Papers Cites
Hyun‐Ha Chang 916 764 703 320 310 117 2.4k
Ki Tae Kwon 784 0.9× 1.0k 1.3× 1.1k 1.5× 409 1.3× 182 0.6× 170 2.9k
Kayoko Hayakawa 1.3k 1.4× 760 1.0× 929 1.3× 405 1.3× 273 0.9× 222 3.6k
Sook‐In Jung 1.8k 2.0× 1.2k 1.6× 586 0.8× 336 1.1× 178 0.6× 165 3.5k
Sarah Tschudin‐Sutter 1.5k 1.7× 1.1k 1.4× 605 0.9× 205 0.6× 174 0.6× 153 3.3k
Maddalena Peghin 980 1.1× 739 1.0× 612 0.9× 97 0.3× 419 1.4× 89 2.4k
Joon‐Sup Yeom 893 1.0× 791 1.0× 399 0.6× 230 0.7× 175 0.6× 186 2.8k
Evelina Tacconelli 1.2k 1.3× 1.3k 1.7× 589 0.8× 130 0.4× 131 0.4× 116 3.4k
Hideharu Hagiya 443 0.5× 451 0.6× 467 0.7× 372 1.2× 259 0.8× 306 2.1k
Po‐Lin Chen 768 0.8× 462 0.6× 383 0.5× 471 1.5× 127 0.4× 113 2.4k
Alessandro Russo 953 1.0× 1.1k 1.5× 801 1.1× 148 0.5× 106 0.3× 135 2.9k

Countries citing papers authored by Hyun‐Ha Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hyun‐Ha Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyun‐Ha Chang

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