Joonseok Cha

1.8k citations
31 papers · 1.4k · h-index 17

Impact in

Papers in

Joonseok Cha

29 papers receiving 1.4k citations

Peers

Joonseok Cha
Comparison fields: 5 of 96
  • Aging 131
  • Endocrine and Autonomic Systems 463
  • Plant Science 567
  • Molecular Biology 696
  • Cellular and Molecular Neuroscience 145
Replace Qiyang He with:
Qiyang He China
Masaki Mizunuma Japan
Jennifer M. A. Tullet United Kingdom
Tomasz Biliński Poland
Jaya Bandyopadhyay India
Tadashi Furukawa Japan
Heehwa G. Son South Korea
Gino Heeren Austria
Alaattin Kaya United States
Joonseok Cha relative to Qiyang He China Qiyang He's profile →
Citations per field
00.5×1.5×
Qiyang He · 1×
Citations per year

Countries citing papers authored by Joonseok Cha

Since Specialization
Citations

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

Fields of papers citing papers by Joonseok Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013320
2 2006187
3 2007111
4 2006102
5 200991
6 200473
7 200367
8 201063
9 200860
10 200649
11 201441
12 201337
13 201136
14 201330
15 201525
16 200224
17 200717
18 201615
19 202011
20 20218

About Joonseok Cha

Joonseok Cha is a scholar working on Plant Science, Endocrine and Autonomic Systems, Molecular Biology, Cellular and Molecular Neuroscience and Surgery, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (14 papers), Light effects on plants (13 papers), Photoreceptor and optogenetics research (5 papers), Fungal and yeast genetics research (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Plant Molecular Biology Research (3 papers), Phytochemicals and Antioxidant Activities (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (131 citations), Endocrine and Autonomic Systems (463 citations), Plant Science (567 citations), Molecular Biology (696 citations) and Cellular and Molecular Neuroscience (145 citations). Joonseok Cha has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yi Liu, She Chen, Mian Zhou, Yi Liu, Jinhu Guo, Guocun Huang, Qiyang He, José M. Barral, Michael Chae and Qun He. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Genes & Development, EMBO Reports and Molecular Cell.

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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