Sun‐Ju Kim

6.9k citations
243 papers · 5.6k · h-index 44

Impact in

Papers in

    • Genomics, phytochemicals, and oxidative stress 53
    • Plant Gene Expression Analysis 19
    • Nitrogen and Sulfur Effects on Brassica 15
    • Seed and Plant Biochemistry 34
    • Food Quality and Safety Studies 18

Sun‐Ju Kim

227 papers receiving 5.3k citations

Peers

Sun‐Ju Kim
Comparison fields: 5 of 155
  • Biochemistry 1.0k
  • Food Science 1.3k
  • Nutrition and Dietetics 913
  • Plant Science 2.1k
  • Molecular Biology 2.7k
Replace Pei Chen with:
Pei Chen United States
Gian Carlo Tenore Italy
Monika Schreiner Germany
Yves Desjardins Canada
K. Nagendra Prasad India
Jae Kwang Kim South Korea
Róger Wagner Brazil
Ramesh Kumar Saini South Korea
Weibin Bai China
Weiqun Wang United States
Sun‐Ju Kim relative to Pei Chen United States Pei Chen's profile →
Citations per field
00.5×1.5×
Pei Chen · 1×
Citations per year

Countries citing papers authored by Sun‐Ju Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Ju Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 243 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008167
2 2005131
3 2014115
4 2016106
5 2006100
6 201194
7 201392
8 200990
9 200989
10 201483
11 201682
12 201379
13 200678
14 201275
15 201374
16 199772
17 201471
18 200770
19 201570
20 201668

About Sun‐Ju Kim

Sun‐Ju Kim is a scholar working on Molecular Biology, Food Science, Plant Science, Biochemistry and Nutrition and Dietetics, having authored 243 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (53 papers), Phytochemicals and Antioxidant Activities (47 papers), Seed and Plant Biochemistry (34 papers), Microbial Metabolites in Food Biotechnology (20 papers), Plant Gene Expression Analysis (19 papers), Free Radicals and Antioxidants (19 papers), Food Quality and Safety Studies (18 papers) and Nitrogen and Sulfur Effects on Brassica (15 papers). The work is most often cited by research in Biochemistry (1.0k citations), Food Science (1.3k citations), Nutrition and Dietetics (913 citations), Plant Science (2.1k citations) and Molecular Biology (2.7k citations). Sun‐Ju Kim has collaborated with scholars based in South Korea, Japan and Saudi Arabia. Frequent co-authors include Sang Un Park, Mariadhas Valan Arasu, Hiroaki Yamauchi, Naïf Abdullah Al-Dhabi, Naoto Hashimoto, Takahiro Noda, Tatsuro Suzuki, Yeon Bok Kim, Chie Matsuura‐Endo and Gensho Ishii. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry, Saudi Journal of Biological Sciences, Natural Product Communications and Soil Science & Plant Nutrition.

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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