Ho Eun Chang

560 citations
36 papers · 435 · h-index 11

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology
    • Tuberculosis Research and Epidemiology

Papers in

Ho Eun Chang

36 papers receiving 424 citations

Peers

Ho Eun Chang
Comparison fields: 5 of 64
  • Hepatology 119
  • Infectious Diseases 124
  • Epidemiology 217
  • Clinical Biochemistry 27
  • Virology 14
Replace J. H. Hoofnagle with:
J. H. Hoofnagle United States
Karl Gmelin Germany
F A Hashim Sudan
Gerard Saimot France
Lina Mouna France
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Dongping Xu China
Ingvill Purr Germany
Efsevia Albanis United States
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Ho Eun Chang relative to J. H. Hoofnagle United States J. H. Hoofnagle's profile →
Citations per field
00.5×2×4×6×8.8×
J. H. Hoofnagle · 1×
Citations per year

Countries citing papers authored by Ho Eun Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ho Eun Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ho Eun 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 Ho Eun Chang. The network helps show where Ho Eun Chang may publish in the future.

Co-authors

The 25 scholars most cited alongside Ho Eun Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ho Eun Chang Line = papers co-authored together Ho Eun Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200785
2 200884
3 201141
4 200925
5 200719
6 201319
7 201417
8 200813
9 201012
10 201212
11 201311
12 20139
13 20108
14 20067
15 20227
16 20226
17 20236
18 20116
19 20115
20 20165

About Ho Eun Chang

Ho Eun Chang is a scholar working on Hematology, Infectious Diseases, Clinical Biochemistry, Epidemiology and Physiology, having authored 36 papers that have together received 435 indexed citations. Recurring topics across this work include Blood groups and transfusion (8 papers), Tuberculosis Research and Epidemiology (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Mycobacterium research and diagnosis (3 papers), Hepatitis B Virus Studies (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Hepatitis Viruses Studies and Epidemiology (2 papers). The work is most often cited by research in Hepatology (119 citations), Infectious Diseases (124 citations), Epidemiology (217 citations), Clinical Biochemistry (27 citations) and Virology (14 citations). Ho Eun Chang has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include John M. Taylor, Kyoung Un Park, Ziying Han, Junghan Song, Jinhong Chang, Ning Chai, Émmanuelle Nicolas, Michal Jarník, Hye Seung Lee and Jung Ok Park. Their work appears in journals such as Annals of Laboratory Medicine, Journal of Virology, Clinica Chimica Acta, BioMed Research International and Scientific Reports.

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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