Jong‐Wan Kim

35 papers receiving 1.0k citations

Peers

Jong‐Wan Kim
Comparison fields: 5 of 111
  • Insect Science 222
  • Developmental Neuroscience 50
  • Microbiology 56
  • Cellular and Molecular Neuroscience 162
  • Biomaterials 98
Replace Min Kwon with:
Min Kwon South Korea
Hua Diao China
Anna Chiarini Italy
Helena H. Liang Australia
Sisi Li China
Stefano Grolli Italy
Roberto Ramoni Italy
Hyun-Jung Jung South Korea
Meihua Jiang China
Hiromi Yamada Japan
Jong‐Wan Kim relative to Min Kwon South Korea Min Kwon's profile →
Citations per field
00.5×3.7×
Min Kwon · 1×
Citations per year

Countries citing papers authored by Jong‐Wan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Wan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jong‐Wan 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 Jong‐Wan Kim Line = papers co-authored together Jong‐Wan 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 2015154
2 2017129
3 201489
4 202072
5 200570
6 201461
7 201257
8 201239
9 201636
10 200530
11 201627
12 200927
13 201626
14 201826
15 201725
16 201620
17 201515
18 200815
19
Administration of dexamethasone to neonatal rats induces hypomyelination and changes in the morphology of oligodendrocyte precursors.
201314
20 201113

About Jong‐Wan Kim

Jong‐Wan Kim is a scholar working on Molecular Biology, Immunology, Insect Science, Cellular and Molecular Neuroscience and Microbiology, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (6 papers), Insect Resistance and Genetics (5 papers), Nerve injury and regeneration (4 papers), Antimicrobial Peptides and Activities (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Insect Utilization and Effects (3 papers), Spinal Cord Injury Research (3 papers) and Regulation of Appetite and Obesity (3 papers). The work is most often cited by research in Insect Science (222 citations), Developmental Neuroscience (50 citations), Microbiology (56 citations), Cellular and Molecular Neuroscience (162 citations) and Biomaterials (98 citations). Jong‐Wan Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sung Moon Yoe, Soon‐Ik Park, Jung Keun Hyun, Hae‐Won Kim, Kam W. Leong, Chinmaya Mahapatra, Jonathan C. Knowles, Min Soo Kim, Min Soo Kim and Yong‐Kyung Choe. Their work appears in journals such as Korean Journal of Pediatrics, Animal Cells and Systems, Biosensors and Bioelectronics, Acta Biomaterialia and Journal of Biomaterials Applications.

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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