Jong-Dai Kim

69 papers receiving 811 citations

Peers

Jong-Dai Kim
Comparison fields: 5 of 87
  • Biochemistry 158
  • Complementary and alternative medicine 140
  • Neurology 143
  • Developmental Neuroscience 51
  • Aquatic Science 76
Replace Wai-Hung Yuen with:
Wai-Hung Yuen Hong Kong
Seon Kyeong Park South Korea
Tingxu Yan China
Khalid Bashir Dar India
Yoshimi Nakajima Japan
Xianjuan Kou China
Pyeongjae Lee South Korea
Hongxia Che China
Aashiq Hussain Bhat India
Jian‐Qiang Yu China
Jong-Dai Kim relative to Wai-Hung Yuen Hong Kong Wai-Hung Yuen's profile →
Citations per field
00.5×2.8×
Wai-Hung Yuen · 1×
Citations per year

Countries citing papers authored by Jong-Dai Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jong-Dai Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201361
2 201861
3 201749
4 201243
5 201940
6 201332
7 201928
8 201525
9 201722
10
Neuroprotection via maintenance or increase of antioxidants and neurotrophic factors in ischemic gerbil hippocampus treated with tanshinone I.
201420
11
Screening of biological activities of the extracts from Rubus coreanus Miq
200319
12 202119
13 201519
14 201119
15 201319
16
Screening of Inhibitory activities on Angiotensin Converting Enzyme from Medicinal plants
200218
17 201618
18 201118
19 201518
20 201618

About Jong-Dai Kim

Jong-Dai Kim is a scholar working on Food Science, Molecular Biology, Biochemistry, Pharmacology and Neurology, having authored 75 papers that have together received 913 indexed citations. Recurring topics across this work include Food Quality and Safety Studies (19 papers), Phytochemicals and Antioxidant Activities (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Pharmacological Effects of Natural Compounds (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Biochemical effects in animals (5 papers), Nutrition, Health and Food Behavior (5 papers) and Neurogenesis and neuroplasticity mechanisms (4 papers). The work is most often cited by research in Biochemistry (158 citations), Complementary and alternative medicine (140 citations), Neurology (143 citations), Developmental Neuroscience (51 citations) and Aquatic Science (76 citations). Jong-Dai Kim has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Moo‐Ho Won, Joon Ha Park, Ji Hyeon Ahn, Il‐Jun Kang, In Hye Kim, Jae‐Chul Lee, Bing Chun Yan, Dae Won Kim, Tae-Kyeong Lee and Jung Hoon Choi. Their work appears in journals such as Molecules, Pharmaceutical Biology, International Journal of Molecular Sciences, Neurochemical Research and Journal of Obesity & Metabolic Syndrome.

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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