In-Sun Yoon

835 total citations · 1 hit paper
16 papers, 623 citations indexed

About

In-Sun Yoon is a scholar working on Plant Science, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, In-Sun Yoon has authored 16 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 6 papers in Molecular Biology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in In-Sun Yoon's work include Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (5 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). In-Sun Yoon is often cited by papers focused on Plant Molecular Biology Research (6 papers), Plant Stress Responses and Tolerance (5 papers) and Legume Nitrogen Fixing Symbiosis (3 papers). In-Sun Yoon collaborates with scholars based in South Korea and India. In-Sun Yoon's co-authors include Taek-Ryoun Kwon, Kyung-Hwan Kim, Jiyeon Hong, Seok‐Cheol Suh, Jung‐Sook Lee, Kun Cho, Namhyo Kim, Seok-Jun Moon, Beom‐Gi Kim and Eun-Hye Choi and has published in prestigious journals such as Frontiers in Plant Science, Plant Molecular Biology and Molecular Breeding.

In The Last Decade

In-Sun Yoon

15 papers receiving 609 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.

Salt Tolerance in Rice: Focus on Mechanisms and Approaches

2017 278 citations In-Sun Yoon, Kyung-Hwan Kim et al. Rice Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
In-Sun Yoon South Korea	9	552	162	68	26	21	16	623
Janete Mariza Adamski Brazil	9	376 0.7×	105 0.6×	83 1.2×	23 0.9×	19 0.9×	16	427
Aya Shimizu Japan	13	523 0.9×	105 0.6×	150 2.2×	18 0.7×	15 0.7×	22	581
Yonghan Xu China	7	708 1.3×	265 1.6×	92 1.4×	37 1.4×	21 1.0×	10	756
Hongbing Luo China	8	308 0.6×	241 1.5×	43 0.6×	28 1.1×	32 1.5×	23	404
Diego M. Almeida Portugal	7	676 1.2×	221 1.4×	27 0.4×	32 1.2×	12 0.6×	7	752
Basel Saleh Syria	10	268 0.5×	97 0.6×	38 0.6×	14 0.5×	14 0.7×	43	365
Ting‐Ying Wu Singapore	12	400 0.7×	205 1.3×	21 0.3×	31 1.2×	10 0.5×	21	475
Dekun Dong China	15	543 1.0×	128 0.8×	16 0.2×	26 1.0×	12 0.6×	22	591
Yanxiu Du China	14	702 1.3×	216 1.3×	159 2.3×	11 0.4×	25 1.2×	36	773
Kuaybe Yücebilgili Kurtoğlu Türkiye	7	418 0.8×	170 1.0×	33 0.5×	9 0.3×	11 0.5×	7	504

Countries citing papers authored by In-Sun Yoon

Since Specialization

Citations

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

Fields of papers citing papers by In-Sun Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In-Sun Yoon. 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 In-Sun Yoon. The network helps show where In-Sun Yoon may publish in the future.

Co-authorship network of co-authors of In-Sun Yoon

This figure shows the co-authorship network connecting the top 25 collaborators of In-Sun Yoon. A scholar is included among the top collaborators of In-Sun Yoon 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 In-Sun Yoon. In-Sun Yoon 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:

16 of 16 papers shown

Yoon, In-Sun. (2023). Reimagining writing education as a liberal art in the age of generative AI and literacy. 14(4). 13–40. 2 indexed citations

Choi, Inchan, Song Lim Kim, Jeongho Baek, et al.. (2021). Determination of the Conditions for Image Analysis of Rice Based on a Crop Phenomic Platform. Korean Journal of Breeding Science. 53(4). 450–457. 4 indexed citations

Kim, Sung‐Mi, et al.. (2017). Identification of Rice Accessions Associated with K+/Na+ Ratio and Salt Tolerance Based on Physiological and Molecular Responses. Rice Science. 24(6). 360–364. 50 indexed citations

Yoon, In-Sun, et al.. (2017). Salt Tolerance in Rice: Focus on Mechanisms and Approaches. Rice Science. 24(3). 123–144. 278 indexed citations breakdown →

Bhatnagar, Nikita, Eun-Hye Choi, Namhyo Kim, et al.. (2016). The protein phosphatase 2C clade A protein OsPP2C51 positively regulates seed germination by directly inactivating OsbZIP10. Plant Molecular Biology. 93(4-5). 389–401. 67 indexed citations

Kim, Namhyo, Seok Jun Moon, Myung Ki Min, et al.. (2015). Functional characterization and reconstitution of ABA signaling components using transient gene expression in rice protoplasts. Frontiers in Plant Science. 6. 614–614. 52 indexed citations

Choi, Eun-Hye, Myung Ki Min, Hyunsik Hwang, et al.. (2015). Differential gene expression of two outward-rectifying shaker-like potassium channels OsSKOR and OsGORK in rice. Journal of Plant Biology. 58(4). 230–235. 27 indexed citations

Yoon, In-Sun, et al.. (2014). Rice LIM protein OsPLIM2a is involved in rice seed and tiller development. Molecular Breeding. 34(2). 569–581. 9 indexed citations

Ghrab, Mohamed, et al.. (2013). A Review on Current Status of Olive and Olive Oil Production in Tunisia. Journal of the Korean Society of International Agriculture. 25(4). 351–357. 10 indexed citations

10.

Moon, Seok-Jun, et al.. (2013). N-terminal region of rice polycomb group protein OsEZ1 is required for OsEZ1–OsFIE2 protein interaction. Plant Biotechnology Reports. 7(4). 503–510. 1 indexed citations

11.

Yoon, In-Sun, et al.. (2012). Involvement of rice Polycomb protein OsFIE2 in plant growth and seed size. Plant Biotechnology Reports. 6(4). 339–346. 5 indexed citations

12.

Lee, Yeon‐Hee, et al.. (2011). Effects of Transgene Organization and Methylation on Gene Expression in Transgenic Plants. Journal of the Korean Society of International Agriculture. 23(2). 210–217. 1 indexed citations

13.

Yoon, In-Sun, Yong Rhee, Seung‐Kook Choi, et al.. (2008). The Effect of Cucumber mosaic virus 2b Protein to Transient Expression and Transgene Silencing Mediated by Agro-infiltration. The Plant Pathology Journal. 24(3). 296–304. 10 indexed citations

14.

Lee, Yeon Hee, et al.. (2008). Effects of 5-azacytidine, a DNA methylation inhibitor, on embryogenic callus formation and shoot regeneration from rice mature seeds. Journal of Plant Biotechnology. 35(2). 133–140. 1 indexed citations

15.

Lee, Jung‐Sook, et al.. (2006). A rice dehydration-inducible SNF1-related protein kinase 2 phosphorylates an abscisic acid responsive element-binding factor and associates with ABA signaling. Plant Molecular Biology. 63(2). 151–169. 105 indexed citations

16.

Yoon, In-Sun, et al.. (2006). Effects of light on the feedback control of GA-20 oxidase gene homolog in DongJinByeo seedlings.. PubMed. 27(2 Suppl). 367–71. 1 indexed citations

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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