Donghern Kim

2.6k citations
67 papers · 2.0k · h-index 25

Impact in

Papers in

    • Plant tissue culture and regeneration 10
    • CRISPR and Genetic Engineering 7
    • Plant Reproductive Biology 6
    • Plant Molecular Biology Research 7
    • Plant nutrient uptake and metabolism 6

Donghern Kim

63 papers receiving 1.9k citations

Peers

Donghern Kim
Comparison fields: 5 of 123
  • Biochemistry 234
  • Health, Toxicology and Mutagenesis 207
  • Dermatology 123
  • Molecular Biology 968
  • Cancer Research 194
Replace Chu Won Nho with:
Chu Won Nho South Korea
Chengyan Geng China
Hsin‐Ling Yang Taiwan
You‐Cheng Hseu Taiwan
Joanna Leszczyńska Poland
Anne Constable Switzerland
Masahito Suiko Japan
Young Jin Jeon South Korea
Jeong‐Doo Heo South Korea
Xiuzhen Han China
Donghern Kim relative to Chu Won Nho South Korea Chu Won Nho's profile →
Citations per field
00.5×2.7×
Chu Won Nho · 1×
Citations per year

Countries citing papers authored by Donghern Kim

Since Specialization
Citations

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

Fields of papers citing papers by Donghern Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013140
2 2010119
3 2012104
4 201491
5 201586
6 201481
7 201577
8 201272
9 199571
10 201664
11 201563
12 201459
13 201656
14 200153
15 201151
16 201248
17 201646
18 201443
19 201742
20 201842

About Donghern Kim

Donghern Kim is a scholar working on Molecular Biology, Plant Science, Oncology, Health, Toxicology and Mutagenesis and Biotechnology, having authored 67 papers that have together received 2.0k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (10 papers), Plant Molecular Biology Research (7 papers), Phytochemicals and Antioxidant Activities (7 papers), CRISPR and Genetic Engineering (7 papers), Chromium effects and bioremediation (7 papers), Plant nutrient uptake and metabolism (6 papers), Plant Reproductive Biology (6 papers) and Transgenic Plants and Applications (6 papers). The work is most often cited by research in Biochemistry (234 citations), Health, Toxicology and Mutagenesis (207 citations), Dermatology (123 citations), Molecular Biology (968 citations) and Cancer Research (194 citations). Donghern Kim has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Zhuo Zhang, Young‐Ok Son, Poyil Pratheeshkumar, Xianglin Shi, Jin Dai, Sasidharan Padmaja Divya, John Andrew Hitron, Ram Vinod Roy, Jia Luo and Yong-Sam Kim. Their work appears in journals such as Toxicology and Applied Pharmacology, Toxicological Sciences, Plant Cell Tissue and Organ Culture (PCTOC), Plant Science and Molecular Pharmaceutics.

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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