Do‐Yeon Kwak

604 total citations
53 papers, 473 citations indexed

About

Do‐Yeon Kwak is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Food Science. According to data from OpenAlex, Do‐Yeon Kwak has authored 53 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 24 papers in Ecology, Evolution, Behavior and Systematics and 14 papers in Food Science. Recurrent topics in Do‐Yeon Kwak's work include Agriculture, Soil, Plant Science (24 papers), GABA and Rice Research (17 papers) and Rice Cultivation and Yield Improvement (14 papers). Do‐Yeon Kwak is often cited by papers focused on Agriculture, Soil, Plant Science (24 papers), GABA and Rice Research (17 papers) and Rice Cultivation and Yield Improvement (14 papers). Do‐Yeon Kwak collaborates with scholars based in South Korea, United States and Bangladesh. Do‐Yeon Kwak's co-authors include Jong‐Hee Lee, Min‐Hee Nam, Un‐Sang Yeo, Jee-Yeon Ko, You‐Chun Song, Koan-Sik Woo, Dong-Soo Park, Young-Nam Yoon, Soo-Kwon Park and Il‐Ryong Choi and has published in prestigious journals such as Theoretical and Applied Genetics, Molecular Plant-Microbe Interactions and LWT.

In The Last Decade

Do‐Yeon Kwak

51 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Do‐Yeon Kwak South Korea	13	355	83	73	62	61	53	473
Soo-Kwon Park South Korea	14	479 1.3×	50 0.6×	125 1.7×	32 0.5×	80 1.3×	49	564
Francisco Javier Ibarra-Pérez Mexico	11	568 1.6×	150 1.8×	46 0.6×	34 0.5×	37 0.6×	34	737
Ha-Cheol Hong South Korea	9	239 0.7×	89 1.1×	45 0.6×	21 0.3×	68 1.1×	57	325
C. Bester South Africa	11	189 0.5×	76 0.9×	89 1.2×	64 1.0×	16 0.3×	36	364
Hasan Pınar Türkiye	10	442 1.2×	73 0.9×	161 2.2×	24 0.4×	42 0.7×	93	532
Pritam Kalia India	14	561 1.6×	146 1.8×	184 2.5×	34 0.5×	51 0.8×	90	742
Lisong Liang China	13	173 0.5×	57 0.7×	173 2.4×	22 0.4×	67 1.1×	37	379
Kiran Khandagale India	11	409 1.2×	50 0.6×	110 1.5×	52 0.8×	22 0.4×	38	472
L. N. Pietrzak Canada	11	247 0.7×	69 0.8×	62 0.8×	35 0.6×	33 0.5×	12	353
Jiajia Zhao China	14	283 0.8×	89 1.1×	123 1.7×	29 0.5×	88 1.4×	54	489

Countries citing papers authored by Do‐Yeon Kwak

Since Specialization

Citations

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

Fields of papers citing papers by Do‐Yeon Kwak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Do‐Yeon Kwak. 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 Do‐Yeon Kwak. The network helps show where Do‐Yeon Kwak may publish in the future.

Co-authorship network of co-authors of Do‐Yeon Kwak

This figure shows the co-authorship network connecting the top 25 collaborators of Do‐Yeon Kwak. A scholar is included among the top collaborators of Do‐Yeon Kwak 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 Do‐Yeon Kwak. Do‐Yeon Kwak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rahman, M. Shafiur, Ah‐Na Kim, Jung In Kim, et al.. (2020). Effect of freeze-thaw pretreatment on yield and quality of perilla seed oil. LWT. 122. 109026–109026. 24 indexed citations

Rahman, M. Shafiur, Ah‐Na Kim, Khalid Gul, et al.. (2019). Supercritical fluid tomato extract for stabilization of perilla oil subjected to thermal treatment. Journal of Food Processing and Preservation. 44(3). 5 indexed citations

Gul, Khalid, Ah‐Na Kim, M. Shafiur Rahman, et al.. (2019). Impact of supercritical carbon dioxide turmeric extract on the oxidative stability of perilla oil. International Journal of Food Science & Technology. 55(1). 183–191. 10 indexed citations

Kwak, Do‐Yeon, et al.. (2019). Nutritional Compositions of Varieties of Foxtail Millet and Proso Millet Developed in Korea. The Korean Journal of Crop Science. 64(2). 137–143. 1 indexed citations

Ko, Jee-Yeon, et al.. (2017). Changes in Functional Materials and Antioxidant Activity according to Cultivation Environment in the Grain of Sorghum ‘Donganme’. Journal of the Korean Society of International Agriculture. 29(4). 400–407.

Ko, Jee-Yeon, et al.. (2012). A medium maturing, glutinous foxtail millet (Setaria italica Beauv.) variety 'Kyeongkwan1'.. Korean Journal of Breeding Science. 44(3). 369–372. 1 indexed citations

Choung, Myoung-Gun, Chung-Kon Kim, Hye‐Won Kim, et al.. (2012). Determination of Cyanidin-3-Glucoside Content using Visible/Near Infrared Reflectance Spectroscopy (VIS/NIRS) in Black Rice. Korean Journal of Breeding Science. 44(4). 444–449.

Lee, Jong‐Hee, Soo-Kwon Park, Do‐Yeon Kwak, et al.. (2012). Fine mapping and identification of candidate rice genes associated with qSTV11 SG , a major QTL for rice stripe disease resistance. Theoretical and Applied Genetics. 125(5). 1033–1046. 31 indexed citations

Kwak, Do‐Yeon, et al.. (2011). Identification of a Major QTL, qSTV11SG, Associated with Resistance to Rice Stripe Virus Disease Originated from Shingwangbyeo in Rice (Oryza Sativa L.). Korean Journal of Breeding Science. 43(5). 464–469. 2 indexed citations

10.

Yeo, Un‐Sang, et al.. (2011). A new high yielding rice variety with multi-disease resistance, 'Keunseom'.. Korean Journal of Breeding Science. 43(6). 576–580. 1 indexed citations

11.

Lee, Jeom‐Sig, et al.. (2010). A new rice variety with low amylose, 'Manmibyeo'.. Korean Journal of Breeding Science. 42(3). 257–261. 1 indexed citations

12.

Lee, Jeom‐Sig, et al.. (2010). A new early maturing blackish purple pigmented glutinous rice variety, 'Josaengheugchal'.. Korean Journal of Breeding Science. 42(3). 262–266. 1 indexed citations

13.

Yeo, Un‐Sang, et al.. (2009). A new early maturing rice cultivar "Junamjosaeng" with multiple disease resistance and high grain quality traits.. Korean Journal of Breeding Science. 41(2). 149–153. 1 indexed citations

14.

Cabauatan, P. Q., Kouji Satoh, Jong‐Hee Lee, et al.. (2009). Suppression of Two Tungro Viruses in Rice by Separable Traits Originating from Cultivar Utri Merah. Molecular Plant-Microbe Interactions. 22(10). 1268–1281. 17 indexed citations

15.

Lee, Jeom‐Sig, et al.. (2008). A New High Amylose Rice Variety “Goamibyeo”. Korean Journal of Breeding Science. 40(4). 447–451. 14 indexed citations

16.

Lee, Jong‐Hee, Dong-Soo Park, Do‐Yeon Kwak, et al.. (2008). Yield and Grain Quality of Early Maturing Rice Cultivars as Affected by Early Transplanting in Yeongnam Plain Area. The Korean Journal of Crop Science. 53(3). 326–332. 12 indexed citations

17.

Yeo, Un‐Sang, et al.. (2007). Identification of DNA marker for brown planthopper resistance gene Bph1 in rice (Oryza sativa L.).. Korean Journal of Breeding Science. 39(2). 172–177. 1 indexed citations

18.

Kwak, Do‐Yeon, et al.. (2007). Mass Screening Method for Rice Virus Resistance Using Screen House. The Korean Journal of Crop Science. 52(2). 129–133. 4 indexed citations

19.

Park, Dong-Soo, Sang‐Kyu Lee, Jong‐Hee Lee, et al.. (2007). The identification of candidate rice genes that confer resistance to the brown planthopper (Nilaparvata lugens) through representational difference analysis. Theoretical and Applied Genetics. 115(4). 537–547. 27 indexed citations

20.

Yeo, Un‐Sang, et al.. (2005). QTL analysis for ripening traits of BHP resistant backcross inbred lines in rice.. Korean Journal of Breeding Science. 37(5). 295–299. 2 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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