Young‐A Kim

2.6k citations
85 papers · 1.8k · h-index 22

Impact in

  • Immunology top 5%
    • Invertebrate Immune Response Mechanisms
    • Aquaculture disease management and microbiota
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

Young‐A Kim

82 papers receiving 1.8k citations

Peers

Young‐A Kim
Comparison fields: 5 of 149
  • Immunology 776
  • Microbiology 92
  • Cellular and Molecular Neuroscience 140
  • Insect Science 97
  • Aquatic Science 57
Replace Lihui Liu with:
Lihui Liu China
Cristina Bonorino Brazil
Hao Xu China
Julian Gordon United States
Mei‐Yu Chen Taiwan
Mads Daugaard Canada
Anne Mølgaard Denmark
Arne von Bonin Germany
Robert E. Settlage United States
Thomas Larsson Sweden
Young‐A Kim relative to Lihui Liu China Lihui Liu's profile →
Citations per field
00.5×2×4×5.2×
Lihui Liu · 1×
Citations per year

Countries citing papers authored by Young‐A Kim

Since Specialization
Citations

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

Fields of papers citing papers by Young‐A Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013221
2 2010202
3 2005167
4 2006129
5 2000107
6 200868
7 200567
8 201364
9 201359
10 201453
11 200953
12 200547
13 200547
14 200731
15 200329
16 201328
17 200027
18 200227
19 199925
20 201624

About Young‐A Kim

Young‐A Kim is a scholar working on Nutrition and Dietetics, Molecular Biology, Immunology, Food Science and General Health Professions, having authored 85 papers that have together received 1.8k indexed citations. Recurring topics across this work include Food Quality and Safety Studies (9 papers), Flowering Plant Growth and Cultivation (5 papers), Mosquito-borne diseases and control (5 papers), Aquaculture disease management and microbiota (4 papers), Invertebrate Immune Response Mechanisms (4 papers), Catalytic Processes in Materials Science (4 papers), Malaria Research and Control (4 papers) and Employment and Welfare Studies (4 papers). The work is most often cited by research in Immunology (776 citations), Microbiology (92 citations), Cellular and Molecular Neuroscience (140 citations), Insect Science (97 citations) and Aquatic Science (57 citations). Young‐A Kim has collaborated with scholars based in South Korea, France and United States. Frequent co-authors include Irene Söderhäll, So Young Lee, Pikul Jiravanichpaisal, Kenneth Söderhäll, Michael C. Carroll, Santiago González, Michael Kuligowski, Priyadarshini Chatterjee, Balthasar A. Heesters and Tomas Kirchhausen. Their work appears in journals such as American Journal of Tropical Medicine and Hygiene, Immunity, Ageing and Society, PROTEOMICS and Journal of Biosocial 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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