Shin‐Hee Kim

2.3k citations
79 papers · 1.5k · h-index 22

Impact in

Papers in

    • Virology and Viral Diseases 18
    • Influenza Virus Research Studies 8
    • Respiratory viral infections research 7
    • Polyamine Metabolism and Applications 5

Shin‐Hee Kim

77 papers receiving 1.5k citations

Peers

Shin‐Hee Kim
Comparison fields: 5 of 126
  • Animal Science and Zoology 250
  • Endocrinology 114
  • Epidemiology 513
  • Agronomy and Crop Science 163
  • Molecular Medicine 77
Replace Wenbin Bao with:
Wenbin Bao China
Jinfeng Miao China
Joan Campbell-Tofte Denmark
Mohammad Reza Tabandeh Iran
Susan Mills Ireland
Tadanobu Takahashi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Shin‐Hee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Shin‐Hee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shin‐Hee 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 Shin‐Hee Kim Line = papers co-authored together Shin‐Hee 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 2009101
2 200993
3 201692
4
Identification of the Main Bacteria Contributing to Histamine Formation in Seafood to Ensure Product Safety
200380
5 200079
6 200575
7 201161
8 200761
9 200953
10 201453
11 201848
12 200137
13 200134
14 201732
15 201132
16 200929
17 201929
18 201429
19 201226
20 200524

About Shin‐Hee Kim

Shin‐Hee Kim is a scholar working on Epidemiology, Molecular Biology, Animal Science and Zoology, Agronomy and Crop Science and Analytical Chemistry, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Virology and Viral Diseases (18 papers), Influenza Virus Research Studies (8 papers), Animal Disease Management and Epidemiology (8 papers), Analytical Methods in Pharmaceuticals (8 papers), Respiratory viral infections research (7 papers), Animal Virus Infections Studies (6 papers), Vector-Borne Animal Diseases (5 papers) and Polyamine Metabolism and Applications (5 papers). The work is most often cited by research in Animal Science and Zoology (250 citations), Endocrinology (114 citations), Epidemiology (513 citations), Agronomy and Crop Science (163 citations) and Molecular Medicine (77 citations). Shin‐Hee Kim has collaborated with scholars based in United States, South Korea and Spain. Frequent co-authors include Siba K. Samal, Cheng–I Wei, Haejung An, Jorge Barros‐Velázquez, Anandan Paldurai, Y. Martin Lo, Peter L. Collins, Ywh-Min Tzou, Sang‐Tae Kim and Jin H. Son. Their work appears in journals such as Journal of Food Protection, Journal of Virology, Viruses, Vaccine and Frontiers in Endocrinology.

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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