Gaeun Kim

1.7k citations
79 papers · 1.0k · h-index 14

Impact in

  • Hepatology top 2%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
  • Physiology top 10%
    • Nutrition and Health in Aging
    • Body Composition Measurement Techniques

Papers in

    • Liver Disease Diagnosis and Treatment 10
    • Aquaculture disease management and microbiota 7

Gaeun Kim

64 papers receiving 1.0k citations

Peers

Gaeun Kim
Comparison fields: 5 of 132
  • Hepatology 328
  • Physiology 283
  • Otorhinolaryngology 44
  • Epidemiology 334
  • Nutrition and Dietetics 112
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Rita Wickham United States
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Bradley J. Kendall Australia
Mary Beth Scholand United States
Jung Eun Yoo South Korea
Jennifer Carter United Kingdom
Fu‐Huang Lin Taiwan
Gaeun Kim relative to Raghavendra Rao India Raghavendra Rao's profile →
Citations per field
00.5×3.6×
Raghavendra Rao · 1×
Citations per year

Countries citing papers authored by Gaeun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gaeun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017271
2 201662
3 201757
4 201753
5 201549
6 201742
7 201637
8 201335
9 202030
10 202230
11 201729
12 201624
13 201520
14 201218
15 201913
16 201413
17 201513
18 202113
19 202212
20 201512

About Gaeun Kim

Gaeun Kim is a scholar working on Epidemiology, Immunology, Public Health, Environmental and Occupational Health, Hepatology and Molecular Biology, having authored 79 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Liver Disease and Transplantation (9 papers), Aquaculture disease management and microbiota (7 papers), Aquaculture Nutrition and Growth (6 papers), Psychosocial Factors Impacting Youth (5 papers), Redox biology and oxidative stress (4 papers), Genetic and phenotypic traits in livestock (4 papers) and Diverse Approaches in Healthcare and Education Studies (4 papers). The work is most often cited by research in Hepatology (328 citations), Physiology (283 citations), Otorhinolaryngology (44 citations), Epidemiology (334 citations) and Nutrition and Dietetics (112 citations). Gaeun Kim has collaborated with scholars based in South Korea, Australia and Singapore. Frequent co-authors include Soon Koo Baik, Moon Young Kim, Seong Hee Kang, Ji‐Hyun Bae, Sang Ok Kwon, Yoo Li Lim, Kwang Yong Shim, Ju‐Young Kim, Hee Soon Kim and Sun Hee Lee. Their work appears in journals such as Fish & Shellfish Immunology, Clinical and Molecular Hepatology, International Journal of Environmental Research and Public Health, Aquaculture and Journal of Korean Medical Science.

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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