Ki‐Back Chu

879 citations
75 papers · 704 · h-index 14

Impact in

Papers in

    • Herpesvirus Infections and Treatments 19
    • Respiratory viral infections research 15
    • Influenza Virus Research Studies 13
    • Cytomegalovirus and herpesvirus research 10
    • Toxoplasma gondii Research Studies 23

Ki‐Back Chu

74 papers receiving 696 citations

Peers

Ki‐Back Chu
Comparison fields: 5 of 84
  • Parasitology 221
  • Virology 50
  • Insect Science 113
  • Endocrinology 44
  • Epidemiology 297
Replace Debbie Nolder with:
Debbie Nolder United Kingdom
Hae‐Ji Kang South Korea
Ada M. B. Alves Brazil
Nathalie Moiré France
Robert A. Walker Australia
Margaret M. Lehmann United States
Karine Musset France
Nicole D. Marino United States
Isobel H. Norville United Kingdom
Iain G. Old France
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Citations per field
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Debbie Nolder · 1×
Citations per year

Countries citing papers authored by Ki‐Back Chu

Since Specialization
Citations

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

Fields of papers citing papers by Ki‐Back Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ki‐Back Chu. 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 Ki‐Back Chu. The network helps show where Ki‐Back Chu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201294
2 201933
3 201926
4 201926
5 202119
6 202018
7 202016
8 202116
9 201916
10 201916
11 201814
12 202014
13 202014
14 201914
15 202013
16 201813
17 202113
18 202312
19 201811
20 202111

About Ki‐Back Chu

Ki‐Back Chu is a scholar working on Epidemiology, Parasitology, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 75 papers that have together received 704 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (23 papers), Herpesvirus Infections and Treatments (19 papers), Respiratory viral infections research (15 papers), Influenza Virus Research Studies (13 papers), Cytomegalovirus and herpesvirus research (10 papers), Malaria Research and Control (10 papers), Legionella and Acanthamoeba research (8 papers) and Mosquito-borne diseases and control (8 papers). The work is most often cited by research in Parasitology (221 citations), Virology (50 citations), Insect Science (113 citations), Endocrinology (44 citations) and Epidemiology (297 citations). Ki‐Back Chu has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Fu‐Shi Quan, Hae‐Ji Kang, Su‐Hwa Lee, Eun‐Kyung Moon, Hae‐Ahm Lee, Dong‐Hun Lee, Hui Jin, Hyunwoo Park, Sung Soo Kim and Md Atique Ahmed. Their work appears in journals such as PLoS ONE, Vaccines, Parasite Immunology, Pharmaceutics and Nanomedicine.

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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