Jun Man Kim

877 citations
15 papers · 684 · h-index 12

Impact in

Papers in

    • Antimicrobial Resistance in Staphylococcus 5
    • Viral gastroenteritis research and epidemiology 2
    • Salmonella and Campylobacter epidemiology 5

Jun Man Kim

15 papers receiving 627 citations

Peers

Jun Man Kim
Comparison fields: 5 of 65
  • Infectious Diseases 434
  • Clinical Biochemistry 136
  • Biotechnology 164
  • Food Science 283
  • Endocrinology 59
Replace W.D.C. Dam-Deisz with:
W.D.C. Dam-Deisz Netherlands
Evelyne De Graef Belgium
Selina Jawahir United States
Linda van der Graaf–van Bloois Netherlands
Manisha Mehrotra Canada
Anne Morvan France
N. Leonard Ireland
Anna Stöger Austria
Carol G. George United States
J.T.M. Zwartkruis-Nahuis Netherlands
Jun Man Kim relative to W.D.C. Dam-Deisz Netherlands W.D.C. Dam-Deisz's profile →
Citations per field
00.5×2.6×
W.D.C. Dam-Deisz · 1×
Citations per year

Countries citing papers authored by Jun Man Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jun Man Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2005135
2 2007110
3 200697
4 200757
5 200655
6 200754
7 200749
8 200534
9 200729
10 201021
11 200616
12 200615
13 200610
14 20231
15 20021

About Jun Man Kim

Jun Man Kim is a scholar working on Infectious Diseases, Food Science, Molecular Biology, Epidemiology and Biotechnology, having authored 15 papers that have together received 684 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Bacterial biofilms and quorum sensing (3 papers), Animal Nutrition and Physiology (2 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (434 citations), Clinical Biochemistry (136 citations), Biotechnology (164 citations), Food Science (283 citations) and Endocrinology (59 citations). Jun Man Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Yong Ho Park, Kim Ys, Woo Kyung Jung, Nam Hoon Kwon, Hye Cheong Koo, Soon Keun Hong, Kun Taek Park, Ji Youn Lim, Wonki Bae and Young Kyung Park. Their work appears in journals such as Journal of Food Protection, Journal of Veterinary Science, International Journal of Food Microbiology, Veterinary Microbiology and Mycoses.

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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