Ki‐Back Chu

1.1k citations
87 papers · 892 · h-index 14

Impact in

Papers in

    • Toxoplasma gondii Research Studies 25
    • Influenza Virus Research Studies 19
    • Herpesvirus Infections and Treatments 19
    • Respiratory viral infections research 18
    • Cytomegalovirus and herpesvirus research 9

Ki‐Back Chu

84 papers receiving 877 citations

Peers

Ki‐Back Chu
Comparison fields: 5 of 83
  • Parasitology 282
  • Virology 62
  • Epidemiology 357
  • Insect Science 118
  • Infectious Diseases 165
Replace Magda Beier‐Sexton with:
Magda Beier‐Sexton United States
Hae‐Ji Kang South Korea
Hua Niu China
Sakina Saif United States
Nicole D. Marino United States
Isobel H. Norville United Kingdom
Jin‐Lei Wang China
Yong Qi China
Bruna Cunha de Alencar Brazil
Brian P. Keegan United States
Ki‐Back Chu relative to Magda Beier‐Sexton United States Magda Beier‐Sexton's profile →
Citations per field
00.5×2×3×4×5.0×
Magda Beier‐Sexton · 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 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012101
2 202166
3 201934
4 202033
5 201927
6 201927
7 202122
8 202120
9 202018
10 201917
11 202017
12 202016
13 202116
14 201916
15 202014
16 201814
17 201814
18 202113
19 202313
20 201913

About Ki‐Back Chu

Ki‐Back Chu is a scholar working on Parasitology, Epidemiology, Immunology, Infectious Diseases and Endocrinology, having authored 87 papers that have together received 892 indexed citations. Recurring topics across this work include Toxoplasma gondii Research Studies (25 papers), Influenza Virus Research Studies (19 papers), Herpesvirus Infections and Treatments (19 papers), Respiratory viral infections research (18 papers), Malaria Research and Control (9 papers), Cytomegalovirus and herpesvirus research (9 papers), Legionella and Acanthamoeba research (8 papers) and Research on Leishmaniasis Studies (6 papers). The work is most often cited by research in Parasitology (282 citations), Virology (62 citations), Epidemiology (357 citations), Insect Science (118 citations) and Infectious Diseases (165 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, Eun‐Kyung Moon, Su‐Hwa Lee, Hae‐Ahm Lee, Dong‐Hun Lee, Hui Jin, Md Atique Ahmed, H Park and Sang‐Moo Kang. Their work appears in journals such as Vaccines, PLoS ONE, 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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