Sang‐Ouk Shin

442 total citations
32 papers, 336 citations indexed

About

Sang‐Ouk Shin is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Pathology and Forensic Medicine. According to data from OpenAlex, Sang‐Ouk Shin has authored 32 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Plant Science, 19 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Pathology and Forensic Medicine. Recurrent topics in Sang‐Ouk Shin's work include Soybean genetics and cultivation (23 papers), Agriculture, Soil, Plant Science (18 papers) and Phytoestrogen effects and research (8 papers). Sang‐Ouk Shin is often cited by papers focused on Soybean genetics and cultivation (23 papers), Agriculture, Soil, Plant Science (18 papers) and Phytoestrogen effects and research (8 papers). Sang‐Ouk Shin collaborates with scholars based in South Korea and Japan. Sang‐Ouk Shin's co-authors include In-Youl Baek, Keum-Yong Park, Tae Joung Ha, Jong‐Min Ko, Sanjeev Kumar Dhungana, Hong‐Sik Kim, Chang‐Hwan Park, Jihee Park, Myoung-Hee Lee and Do‐Yeon Kwak and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Plants.

In The Last Decade

Sang‐Ouk Shin

25 papers receiving 309 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sang‐Ouk Shin South Korea 10 198 115 90 78 64 32 336
Huhn-Pal Moon South Korea 7 258 1.3× 94 0.8× 94 1.0× 67 0.9× 76 1.2× 14 387
M. K. Akitha Devi India 7 242 1.2× 53 0.5× 131 1.5× 60 0.8× 95 1.5× 10 367
Hyemyeong Yoon South Korea 9 181 0.9× 40 0.3× 82 0.9× 88 1.1× 39 0.6× 36 280
Hong-Sig Kim South Korea 11 248 1.3× 37 0.3× 101 1.1× 76 1.0× 88 1.4× 64 375
Toong Long Jeng Taiwan 14 254 1.3× 88 0.8× 36 0.4× 103 1.3× 68 1.1× 22 424
Sakda Jongkaewwattana Thailand 10 220 1.1× 88 0.8× 25 0.3× 80 1.0× 35 0.5× 11 341
Jong‐Nae Hyun South Korea 9 182 0.9× 131 1.1× 26 0.3× 154 2.0× 60 0.9× 34 391
Yongzhan Zheng China 12 297 1.5× 50 0.4× 26 0.3× 75 1.0× 104 1.6× 21 440
Sushama Marathe India 7 155 0.8× 63 0.5× 19 0.2× 150 1.9× 48 0.8× 9 306
Vandita Tiwari India 7 157 0.8× 99 0.9× 19 0.2× 67 0.9× 122 1.9× 13 369

Countries citing papers authored by Sang‐Ouk Shin

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Ouk Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Ouk Shin. 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 Sang‐Ouk Shin. The network helps show where Sang‐Ouk Shin may publish in the future.

Co-authorship network of co-authors of Sang‐Ouk Shin

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

All Works

20 of 20 papers shown
1.
Dhungana, Sanjeev Kumar, Jihee Park, Hong‐Sik Kim, et al.. (2021). Quantitative Trait Locus Mapping for Drought Tolerance in Soybean Recombinant Inbred Line Population. Plants. 10(9). 1816–1816. 14 indexed citations
2.
Dhungana, Sanjeev Kumar, et al.. (2021). Protein, Amino Acid, Oil, Fatty Acid, Sugar, Anthocyanin, Isoflavone, Lutein, and Antioxidant Variations in Colored Seed-Coated Soybeans. Plants. 10(9). 1765–1765. 13 indexed citations
3.
Kim, Hong‐Sik, et al.. (2019). Quantitative Variation of Total Seed Isoflavone and its Compositions in Korean Soybean Cultivars (Glycine max (L.) Merr.). The Korean Journal of Crop Science. 64(2). 89–101. 3 indexed citations
4.
Dhungana, Sanjeev Kumar, et al.. (2019). Quantitative trait loci mapping for flooding tolerance at an early growth stage of soybean recombinant inbred line population. Plant Breeding. 139(3). 626–638. 13 indexed citations
5.
Kim, Hyun-Tae, Mansoo Choi, Hong‐Sik Kim, et al.. (2017). Genetic and Environmental Variation of First Pod Height in Soybean [Glycine max (L.) Merr.]. Plant Breeding and Biotechnology. 5(1). 36–44. 1 indexed citations
6.
Park, Hyeon‐Jin, et al.. (2014). Growth and Yield Components Responses to Delayed Planting of Soybean in Southern Region of Korea. Korean Journal of Crop Science. 59(4). 483–491. 4 indexed citations
7.
Han, Sang‐Ik, et al.. (2013). A New Azuki Bean Cultivar ‘Saegil’ with Red Seed Coat Color, Had Good Processing Property. Korean Journal of Breeding Science. 45(3). 258–261.
8.
Baek, In-Youl, Hyun-Tae Kim, Jong‐Min Ko, et al.. (2013). A New Soy-paste Soybean Cultivar, ‘Daeha 1’ with Disease Resistance, Lodging Tolerance and High Yielding. Korean Journal of Breeding Science. 45(1). 44–49. 1 indexed citations
9.
Shin, Sang‐Ouk, et al.. (2012). Optimum Seeding Date of Sprout Soybean in Southern Region of Korea. Journal of the Korean Society of International Agriculture. 24(5). 536–546.
10.
Shin, Sang‐Ouk, et al.. (2010). A New Black Seed Coat Soybean Cultivar, ‘Heugseong’ with Large Seed and High Yield. Korean Journal of Breeding Science. 42(6). 668–673. 1 indexed citations
11.
Park, Keum-Yong, et al.. (2010). A new soy-paste soybean cultivar, 'Daeyang' with disease resistance, large seed and high yielding.. Korean Journal of Breeding Science. 42(6). 690–694. 2 indexed citations
12.
Park, Keum-Yong, et al.. (2010). A New Soy-paste Soybean Cultivar, ‘Nampung’ with Disease Resistance, Good Combining Adaptability and High Yielding. Korean Journal of Breeding Science. 42(6). 721–726. 4 indexed citations
13.
Baek, In-Youl, et al.. (2009). Maturity Grouping of Korean Soybean Cultivars and Character Relationships According to the Planting Date. The Korean Journal of Crop Science. 54(1). 104–118. 5 indexed citations
14.
Shin, Sang‐Ouk, et al.. (2009). Soybean Ecological Response and Seed Quality According to Altitude and Seeding Dates. The Korean Journal of Crop Science. 54(2). 143–158. 6 indexed citations
15.
Baek, In-Youl, Jong‐Min Ko, Ki-Won Oh, et al.. (2008). Antioxidant and Tyrosinase Inhibitory Activities from Seed Coat of Brown Soybean. Food Science and Biotechnology. 17(1). 1–7. 14 indexed citations
16.
Shin, Sang‐Ouk, et al.. (2008). Characterisation of anthocyanins in the black soybean (Glycine max L.) by HPLC-DAD-ESI/MS analysis. Food Chemistry. 112(1). 226–231. 133 indexed citations
17.
Baek, In-Youl, Jong‐Min Ko, Hyun-Tae Kim, et al.. (2007). Profiles of Compositional Components in Vegetable Soybeans (Glycine max (L.) Merr.). Journal of Applied Biological Chemistry. 50(2). 63–69. 5 indexed citations
18.
Shin, Sang‐Ouk, et al.. (2005). A new black soybean cultivar, "Geomjeongsaeol" with large seed, early maturity and lodging tolerance.. Korean Journal of Breeding Science. 37(4). 259–260. 1 indexed citations
19.
Kim, Sang‐Yeol, et al.. (2002). Control of Water Foxtail(Aleopecurus aequalis var. amurensis Ohwi.) and Weedy Rice(Oryza sativa L.) by Paraquat and Glyphosate in No-tillage Dry Seeded Rice. Weed & Turfgrass Science. 22(4). 343–349. 2 indexed citations
20.
Shin, Sang‐Ouk, et al.. (2001). Changes of Rice Yield and Soil Physicochemical Properties in Long-term Dry Seeded Rice-Barley Double Cropping. The Korean Journal of Crop Science. 46(6). 459–463. 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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