Seon-Woo Cha

1.0k citations
55 papers · 881 · h-index 18

Impact in

Papers in

Seon-Woo Cha

50 papers receiving 717 citations

Peers

Seon-Woo Cha
Comparison fields: 5 of 77
  • Complementary and alternative medicine 163
  • Pharmacology 105
  • Food Science 177
  • Toxicology 32
  • Molecular Biology 608
Replace Arvind Saklani with:
Arvind Saklani India
Surrinder K. Lattoo India
Carmen E. Díaz Spain
Toshihiro Murata Japan
Fernanda Rodrigues Garcez Brazil
Wolfgang Schühly Austria
Angela Bisio Italy
Ulla Wagner Smitt Denmark
J. O. Moody Nigeria
Rafael Salgado‐Garciglia Mexico
Seon-Woo Cha relative to Arvind Saklani India Arvind Saklani's profile →
Citations per field
00.5×1.5×1.9×
Arvind Saklani · 1×
Citations per year

Countries citing papers authored by Seon-Woo Cha

Since Specialization
Citations

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

Fields of papers citing papers by Seon-Woo Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seon-Woo Cha. 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 Seon-Woo Cha. The network helps show where Seon-Woo Cha may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007107
2 201189
3 201559
4 201154
5 201249
6 200739
7 201133
8 201129
9 201527
10
Investigation of Ginsenosides in Different Parts of Panax ginseng Cultured by Hydroponics
201024
11 201124
12 201523
13 201122
14 201320
15 201620
16
Genetic Relationships of Panax Species by RAPD and ISSR Analyses
200519
17 201619
18 201217
19 201115
20 201214

About Seon-Woo Cha

Seon-Woo Cha is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Food Science, Plant Science and Complementary and alternative medicine, having authored 55 papers that have together received 881 indexed citations. Recurring topics across this work include Ginseng Biological Effects and Applications (32 papers), Agriculture, Soil, Plant Science (28 papers), Food Quality and Safety Studies (15 papers), Horticultural and Viticultural Research (5 papers), Traditional Chinese Medicine Analysis (5 papers), Plant tissue culture and regeneration (5 papers), Natural product bioactivities and synthesis (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (163 citations), Pharmacology (105 citations), Food Science (177 citations), Toxicology (32 citations) and Molecular Biology (608 citations). Seon-Woo Cha has collaborated with scholars based in South Korea, Nigeria and Japan. Frequent co-authors include Kyong-Hwan Bang, Ok-Tae Kim, Young‐Chang Kim, Seong-Gene Lee, Yeo Jin Choi, Nak-Sul Seong, Hyung‐Kyoon Choi, Sin‐Hee Han, Young‐Seob Lee and Dongho Lee. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Journal of Ginseng Research, Foodborne Pathogens and Disease, Journal of Agricultural and Food Chemistry and PLoS ONE.

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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