Do‐Sun Kim

952 citations
58 papers · 647 · h-index 13

Impact in

  • Horticulture top 10%
    • Plant Virus Research Studies
    • Plant Disease Resistance and Genetics
    • Plant Pathogenic Bacteria Studies
    • Plant-Microbe Interactions and Immunity

Papers in

    • Plant Virus Research Studies 12
    • Plant Disease Resistance and Genetics 12
    • Plant Pathogenic Bacteria Studies 11
    • Plant Pathogens and Resistance 8
    • Plant-Microbe Interactions and Immunity 7
    • Plant Molecular Biology Research 6
    • Plant tissue culture and regeneration 8

Do‐Sun Kim

53 papers receiving 623 citations

Peers

Do‐Sun Kim
Comparison fields: 5 of 84
  • Horticulture 18
  • Plant Science 411
  • Biotechnology 81
  • Biochemistry 43
  • Endocrinology 32
Replace Barbara Molesini with:
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Do‐Sun Kim relative to Barbara Molesini Italy Barbara Molesini's profile →
Citations per field
00.5×1.5×
Barbara Molesini · 1×
Citations per year

Countries citing papers authored by Do‐Sun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Do‐Sun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201999
2 200977
3 202055
4 201942
5 201431
6 202121
7 201821
8 201820
9 201317
10 202315
11 202114
12 202113
13 202312
14 201611
15 201611
16 201910
17 201310
18
Competition Effects of Echinochloa crus-galli and Monochoria vaginalis on Rice Growth and Yield
20069
19 20219
20 20169

About Do‐Sun Kim

Do‐Sun Kim is a scholar working on Plant Science, Molecular Biology, Biotechnology, Genetics and Cell Biology, having authored 58 papers that have together received 647 indexed citations. Recurring topics across this work include Plant Virus Research Studies (12 papers), Plant Disease Resistance and Genetics (12 papers), Plant Pathogenic Bacteria Studies (11 papers), Plant tissue culture and regeneration (8 papers), Transgenic Plants and Applications (8 papers), Plant Pathogens and Resistance (8 papers), Plant-Microbe Interactions and Immunity (7 papers) and Plant Molecular Biology Research (6 papers). The work is most often cited by research in Horticulture (18 citations), Plant Science (411 citations), Biotechnology (81 citations), Biochemistry (43 citations) and Endocrinology (32 citations). Do‐Sun Kim has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Abinaya Manivannan, Hye‐Eun Lee, Jinhee Kim, Koeun Han, Byoung‐Cheorl Kang, Yul‐Kyun Ahn, Hye‐Eun Lee, JeeNa Hwang, Jin‐Hee Kim and Nam Han Her. Their work appears in journals such as Horticulture Environment and Biotechnology, Plants, Agronomy, Frontiers in Plant Science and Scientia Horticulturae.

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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