Jongwan Kim

726 citations
38 papers · 527 · h-index 13

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Insect Resistance and Genetics 2
    • Bacillus and Francisella bacterial research 2
    • Hippo pathway signaling and YAP/TAZ 3

Jongwan Kim

35 papers receiving 513 citations

Peers

Jongwan Kim
Comparison fields: 5 of 96
  • Biochemistry 31
  • Small Animals 32
  • Computational Theory and Mathematics 60
  • Molecular Biology 235
  • Food Science 49
Replace Yu‐Ching Lee with:
Yu‐Ching Lee Taiwan
Tim Geppert Switzerland
Aldo Segura‐Cabrera Mexico
A. Srinivasan India
Yee Siew Choong Malaysia
Felix Reisen Switzerland
Yuliya Y. Kleshchenko United States
Lawrence Ayong Cameroon
Philippe Marc France
Jongwan Kim relative to Yu‐Ching Lee Taiwan Yu‐Ching Lee's profile →
Citations per field
00.5×3.5×
Yu‐Ching Lee · 1×
Citations per year

Countries citing papers authored by Jongwan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jongwan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200364
2 201952
3 200750
4 202048
5 200148
6 202342
7 201929
8 202126
9 201418
10 201915
11 201115
12 201513
13 200412
14
A genetic comparison of Brucella abortus isolates from animals and humans by using an MLVA assay.
201012
15 200911
16 20048
17 20237
18 20247
19 20207
20 20236

About Jongwan Kim

Jongwan Kim is a scholar working on Molecular Biology, Cell Biology, Epidemiology, Immunology and Infectious Diseases, having authored 38 papers that have together received 527 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Galectins and Cancer Biology (2 papers), Insect Resistance and Genetics (2 papers), Autophagy in Disease and Therapy (2 papers) and Bacillus and Francisella bacterial research (2 papers). The work is most often cited by research in Biochemistry (31 citations), Small Animals (32 citations), Computational Theory and Mathematics (60 citations), Molecular Biology (235 citations) and Food Science (49 citations). Jongwan Kim has collaborated with scholars based in South Korea, Ethiopia and United States. Frequent co-authors include Kyoung Tai No, Hocheol Lim, Ki‐Chang Nam, Seung‐Cheol Lee, Jong‐Hwa Lee, Yoon‐Hoh Kook, Kwan Soo Ko, Jong‐Man Kim, Wonyong Kim and Byeong Yeal Jung. Their work appears in journals such as Annals of Laboratory Medicine, International Journal of Molecular Sciences, Biotechnology Letters, Scientific Reports and Molecules and Cells.

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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