In-Youl Baek

1.5k total citations
61 papers, 1.2k citations indexed

About

In-Youl Baek is a scholar working on Plant Science, Pathology and Forensic Medicine and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, In-Youl Baek has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Plant Science, 16 papers in Pathology and Forensic Medicine and 15 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in In-Youl Baek's work include Soybean genetics and cultivation (30 papers), Phytoestrogen effects and research (15 papers) and Agriculture, Soil, Plant Science (14 papers). In-Youl Baek is often cited by papers focused on Soybean genetics and cultivation (30 papers), Phytoestrogen effects and research (15 papers) and Agriculture, Soil, Plant Science (14 papers). In-Youl Baek collaborates with scholars based in South Korea, China and Japan. In-Youl Baek's co-authors include Tae Joung Ha, Jin Hwan Lee, Myoung‐Gun Choung, Myoung-Hee Lee, Keum-Yong Park, Dae Sik Jang, Hyun-Tae Kim, Huhn-Pal Moon, Sang‐Ouk Shin and Ki Hun Park and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

In-Youl Baek

56 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
In-Youl Baek South Korea 15 630 367 285 267 239 61 1.2k
Soo‐Muk Cho South Korea 19 397 0.6× 330 0.9× 288 1.0× 276 1.0× 96 0.4× 60 1.1k
Jung Bong Kim South Korea 14 348 0.6× 250 0.7× 296 1.0× 215 0.8× 77 0.3× 29 835
Clenilson Martins Rodrigues Brazil 21 436 0.7× 179 0.5× 388 1.4× 230 0.9× 45 0.2× 50 1.1k
Jung‐Hye Shin South Korea 18 649 1.0× 382 1.0× 402 1.4× 648 2.4× 134 0.6× 102 1.2k
Myoung‐Gun Choung South Korea 24 703 1.1× 406 1.1× 415 1.5× 347 1.3× 335 1.4× 64 1.5k
Yoichi Nishiba Japan 22 598 0.9× 661 1.8× 338 1.2× 557 2.1× 174 0.7× 38 1.6k
Sang‐Ik Han South Korea 18 443 0.7× 170 0.5× 194 0.7× 228 0.9× 82 0.3× 87 869
Catherine W. Rico South Korea 15 336 0.5× 145 0.4× 198 0.7× 196 0.7× 70 0.3× 32 872
Lena H. Dimberg Sweden 21 557 0.9× 577 1.6× 271 1.0× 549 2.1× 104 0.4× 28 1.6k
Kwang‐Won Yu South Korea 20 533 0.8× 163 0.4× 467 1.6× 410 1.5× 150 0.6× 102 1.3k

Countries citing papers authored by In-Youl Baek

Since Specialization
Citations

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

Fields of papers citing papers by In-Youl Baek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of In-Youl Baek

This figure shows the co-authorship network connecting the top 25 collaborators of In-Youl Baek. A scholar is included among the top collaborators of In-Youl Baek 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-Youl Baek. In-Youl Baek 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.
Kuswantoro, Heru, et al.. (2014). Performance of Korean Soybean Varieties in Indonesia. Journal of the Korean Society of International Agriculture. 26(2). 107–113. 5 indexed citations
3.
4.
Ha, Tae Joung, Myoung-Hee Lee, Hyun-Tae Kim, et al.. (2012). Slow-binding inhibition of soybean lipoxygenase-1 by luteolin. Archives of Pharmacal Research. 35(10). 1811–1816. 8 indexed citations
5.
6.
Ha, Tae Joung, Jin Hwan Lee, Myoung-Hee Lee, et al.. (2012). Isolation and identification of phenolic compounds from the seeds of Perilla frutescens (L.) and their inhibitory activities against α-glucosidase and aldose reductase. Food Chemistry. 135(3). 1397–1403. 151 indexed citations
7.
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.
8.
Yang, Kiwoung, et al.. (2011). Development of Molecular Markers Conferring Bacterial Leaf Pustule Resistance Gene, Rxp, using Resistant and Susceptible Cultivars in Soybean. Korean Journal of Breeding Science. 43(4). 98–98. 2 indexed citations
9.
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
10.
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
11.
Baek, In-Youl, et al.. (2009). Optimization of Extraction Conditions and Comparison of Rosmarinic and Caffeic Acids from Leaves of Perilla frutescens Varieties. Food Science and Biotechnology. 18(3). 793–798. 4 indexed citations
12.
Park, Keum-Yong, et al.. (2008). Variations in Growth Characteristics and Seed Qualities of Korean Soybean Landraces. The Korean Journal of Crop Science. 53. 96–102. 1 indexed citations
13.
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
14.
Lee, Jin Hwan, In-Youl Baek, Myoung‐Gun Choung, et al.. (2008). Phytochemical Constituents from the Leaves of Soybean [Glycine max (L.) Merr.]. Food Science and Biotechnology. 17(3). 578–586. 23 indexed citations
15.
Park, Keum-Yong, et al.. (2008). Growth Characteristics and Qualities of Korean Soybean Landraces. The Korean Journal of Crop Science. 53(2). 89–95. 3 indexed citations
16.
Baek, In-Youl, et al.. (2007). Identification of Phenolic Compounds and Antioxidant Effects from the Exudate of Germinating Peanut(Arachis hypogaea). Food Science and Biotechnology. 16(1). 29–36. 8 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.
Ko, Jong‐Min, et al.. (2006). Antioxidant Activities and Determination of Phenolic Acids from Leaves of Perilla frutescens. Journal of Applied Biological Chemistry. 49(1). 11–15. 3 indexed citations
19.
Lee, Jin Hwan, In-Youl Baek, Jong Min Ko, et al.. (2006). Isolation and Characterization of Phytochemical Constituents from Soybean (Glycine max L. Merr.). Food Science and Biotechnology. 15(3). 392–398. 7 indexed citations
20.
Baek, In-Youl, et al.. (1995). Effect of Planting Time on Seed Production of Vegetable Soybean at Different Locations. The Korean Journal of Crop Science. 40(1). 44–51. 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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