Euna Cho

1.2k total citations · 1 hit paper
6 papers, 918 citations indexed

About

Euna Cho is a scholar working on Plant Science, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Euna Cho has authored 6 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Molecular Biology and 0 papers in Infectious Diseases. Recurrent topics in Euna Cho's work include Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (5 papers) and Plant Reproductive Biology (4 papers). Euna Cho is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant nutrient uptake and metabolism (5 papers) and Plant Reproductive Biology (4 papers). Euna Cho collaborates with scholars based in United States and South Korea. Euna Cho's co-authors include Patricia Zambryski, Eunsook Park, Horim Lee, Sung‐Suk Suh, Ji Hoon Ahn, Jong Seob Lee, Young Myung Kwon, In-Soon Kim, Ken Kobayashi and Frederick D. Hempel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and PubMed.

In The Last Decade

Euna Cho

6 papers receiving 906 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The AGAMOUS-LIKE 20 MADS domain protein integrates floral inductive pathways in Arabidopsis

2000 590 citations Horim Lee, Sung‐Suk Suh et al. Genes & Development profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Euna Cho United States	6	891	692	40	25	17	6	918
Laura Di Laurenzio United States	6	1.2k 1.3×	970 1.4×	75 1.9×	23 0.9×	14 0.8×	8	1.3k
Frederick D. Hempel United States	11	1.1k 1.2×	823 1.2×	31 0.8×	67 2.7×	20 1.2×	13	1.1k
Changkui Guo China	16	737 0.8×	466 0.7×	43 1.1×	33 1.3×	13 0.8×	24	835
Annemarie S. Lokerse Netherlands	10	1.2k 1.4×	949 1.4×	25 0.6×	25 1.0×	13 0.8×	11	1.3k
Aman Y. Husbands United States	10	777 0.9×	631 0.9×	37 0.9×	32 1.3×	10 0.6×	20	841
Wenjing She Switzerland	8	451 0.5×	363 0.5×	28 0.7×	18 0.7×	10 0.6×	12	501
Masaya Ikezaki Japan	5	689 0.8×	606 0.9×	17 0.4×	35 1.4×	8 0.5×	6	715
Sara Simonini Switzerland	14	905 1.0×	883 1.3×	31 0.8×	40 1.6×	6 0.4×	18	1.0k
Devin O’Connor United States	8	558 0.6×	408 0.6×	67 1.7×	75 3.0×	19 1.1×	12	606
Kaushik Panda United States	12	830 0.9×	520 0.8×	41 1.0×	15 0.6×	7 0.4×	14	919

Countries citing papers authored by Euna Cho

Since Specialization

Citations

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

Fields of papers citing papers by Euna Cho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Euna Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Euna Cho. A scholar is included among the top collaborators of Euna Cho based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Euna Cho. Euna Cho is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Xu, Min, Euna Cho, Tessa M. Burch‐Smith, & Patricia Zambryski. (2012). Plasmodesmata formation and cell-to-cell transport are reduced in decreased size exclusion limit 1 during embryogenesis in Arabidopsis. Proceedings of the National Academy of Sciences. 109(13). 5098–5103. 50 indexed citations

2.

Cho, Euna & Patricia Zambryski. (2011). ORGAN BOUNDARY1 defines a gene expressed at the junction between the shoot apical meristem and lateral organs. Proceedings of the National Academy of Sciences. 108(5). 2154–2159. 62 indexed citations

3.

Kim, In-Soon, Ken Kobayashi, Euna Cho, & Patricia Zambryski. (2007). Regulation of Plant Intercellular Communication Via Plasmodesmata. PubMed. 28. 1–15. 6 indexed citations

4.

Kim, In-Soon, Ken Kobayashi, Euna Cho, & Patricia Zambryski. (2005). Subdomains for transport via plasmodesmata corresponding to the apical–basal axis are established during Arabidopsis embryogenesis. Proceedings of the National Academy of Sciences. 102(33). 11945–11950. 111 indexed citations

5.

Kim, In-Soon, Euna Cho, Katrina M. Crawford, Frederick D. Hempel, & Patricia Zambryski. (2005). Cell-to-cell movement of GFP during embryogenesis and early seedling development in Arabidopsis. Proceedings of the National Academy of Sciences. 102(6). 2227–2231. 99 indexed citations

6.

Lee, Horim, Sung‐Suk Suh, Eunsook Park, et al.. (2000). The AGAMOUS-LIKE 20 MADS domain protein integrates floral inductive pathways in Arabidopsis. Genes & Development. 14(18). 2366–2376. 590 indexed citations breakdown →

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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