Changsuek Yon

757 citations
23 papers · 539 · h-index 13

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Retinal Development and Disorders 3
    • Hepatitis B Virus Studies 6
    • Liver Disease Diagnosis and Treatment 2

Changsuek Yon

23 papers receiving 531 citations

Peers

Changsuek Yon
Comparison fields: 5 of 71
  • Virology 101
  • Hepatology 83
  • Infectious Diseases 159
  • Public Health, Environmental and Occupational Health 226
  • Insect Science 62
Replace Audrey S. Richard with:
Audrey S. Richard United States
Giselle Barbosa-Lima Brazil
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Jaime Guillén Spain
Niklaus H. Mueller United States
Fabian Elgner Germany
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Citations per field
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Citations per year

Countries citing papers authored by Changsuek Yon

Since Specialization
Citations

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

Fields of papers citing papers by Changsuek Yon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changsuek Yon. 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 Changsuek Yon. The network helps show where Changsuek Yon may publish in the future.

Co-authors

The 25 scholars most cited alongside Changsuek Yon, 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 Changsuek Yon Line = papers co-authored together Changsuek Yon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005105
2 200382
3 200671
4 199445
5 201734
6 200525
7 201925
8 202217
9 202017
10 201116
11 200015
12 200014
13 201313
14 200512
15 200210
16 20219
17 20219
18 20226
19 19955
20 20004

About Changsuek Yon

Changsuek Yon is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Physiology and Hepatology, having authored 23 papers that have together received 539 indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (6 papers), Hepatitis C virus research (5 papers), HIV Research and Treatment (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Retinal Development and Disorders (3 papers), Mosquito-borne diseases and control (3 papers), Asthma and respiratory diseases (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Virology (101 citations), Hepatology (83 citations), Infectious Diseases (159 citations), Public Health, Environmental and Occupational Health (226 citations) and Insect Science (62 citations). Changsuek Yon has collaborated with scholars based in United States, South Korea and Switzerland. Frequent co-authors include Vannakambadi K. Ganesh, Niklaus H. Mueller, Radhakrishnan Padmanabhan, Joong‐Soo Han, Shihyun You, Masako Nomaguchi, R. Padmanabhan, Jessica Phelan, T Teramoto and Krishna H. M. Murthy. Their work appears in journals such as Molecules and Cells, The Journal of Antibiotics, Hepatology Communications, Journal of Virology and Journal of Cellular Biochemistry.

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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