Jong-Yoon Kim

22 papers receiving 497 citations

Peers

Jong-Yoon Kim
Comparison fields: 5 of 98
  • Insect Science 206
  • Ecology, Evolution, Behavior and Systematics 244
  • Health, Toxicology and Mutagenesis 107
  • Genetics 157
  • Pollution 30
Replace L. H. Keith with:
L. H. Keith United States
Nadia Quignot France
Kwang Sik Choi South Korea
Leslie W. Touart United States
R.L. Joiner United States
Wenhua Li China
Sophie Durand France
Huihui Zhang China
Arnd Weyers Germany
María Elena Calderón-Segura Mexico
Jong-Yoon Kim relative to L. H. Keith United States L. H. Keith's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jong-Yoon Kim

Since Specialization
Citations

This map shows the geographic impact of Jong-Yoon 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-Yoon 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-Yoon Kim more than expected).

Fields of papers citing papers by Jong-Yoon Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1971148
2 199785
3 199976
4 199861
5 201336
6 200730
7 199223
8 197114
9 199913
10 200612
11
Effect of Naesowhajung-tang on Electrogastrography in children with functional dyspepsia
20026
12 19926
13 20095
14 20195
15 20005
16 20184
17 20073
18 20153
19
A Numerical Study on Characteristics of Smoke Exhaust in Road Tunnel Fires for Different Ventilation System
20082
20
Electrochemical study of uranium cations in LiCl-KCl melt using a rotating disk electrode
20131

About Jong-Yoon Kim

Jong-Yoon Kim is a scholar working on Ecology, Evolution, Behavior and Systematics, Ocean Engineering, Information Systems, Safety Research and Genetics, having authored 27 papers that have together received 540 indexed citations. Recurring topics across this work include Evacuation and Crowd Dynamics (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Education, Safety, and Science Studies (4 papers), Insect and Pesticide Research (4 papers), Plant and animal studies (4 papers), Technology and Data Analysis (3 papers), Fire dynamics and safety research (3 papers) and Railway Systems and Energy Efficiency (2 papers). The work is most often cited by research in Insect Science (206 citations), Ecology, Evolution, Behavior and Systematics (244 citations), Health, Toxicology and Mutagenesis (107 citations), Genetics (157 citations) and Pollution (30 citations). Jong-Yoon Kim has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Nobumasa Imura, Takao Kwan, Tyunosin Ukita, Robbin W. Thorp, Mark Rizzardi, Linda E. Newstrom‐Lloyd, Terry Griswold, John F. Barthell, Gordon W. Frankie and Walter Soares Leal. Their work appears in journals such as Journal of Chemical Ecology, Cell Transplantation, Science, Tunnelling and Underground Space Technology and Archives of Pharmacal Research.

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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