Hong-Sig Kim

458 total citations
64 papers, 375 citations indexed

About

Hong-Sig Kim is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Food Science. According to data from OpenAlex, Hong-Sig Kim has authored 64 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 34 papers in Ecology, Evolution, Behavior and Systematics and 22 papers in Food Science. Recurrent topics in Hong-Sig Kim's work include Agriculture, Soil, Plant Science (33 papers), Food Quality and Safety Studies (21 papers) and Soybean genetics and cultivation (21 papers). Hong-Sig Kim is often cited by papers focused on Agriculture, Soil, Plant Science (33 papers), Food Quality and Safety Studies (21 papers) and Soybean genetics and cultivation (21 papers). Hong-Sig Kim collaborates with scholars based in South Korea, Japan and Russia. Hong-Sig Kim's co-authors include Sun‐Lim Kim, Ill‐Min Chung, Eun-Hye Kim, Hee‐Myong Ro, Tae‐Young Hwang, Yong‐Gu Cho, Sun–Hee Woo, Ick-Hyun Jo, Kyong-Hwan Bang and Jwakyung Sung and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Phytochemistry and Euphytica.

In The Last Decade

Hong-Sig Kim

51 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
Hong-Sig Kim South Korea 11 248 101 88 76 54 64 375
Young‐Up Kwon South Korea 9 186 0.8× 62 0.6× 55 0.6× 73 1.0× 94 1.7× 61 341
Sang‐Ouk Shin South Korea 10 198 0.8× 90 0.9× 64 0.7× 78 1.0× 23 0.4× 32 336
Hwei‐Ming Bau France 6 264 1.1× 84 0.8× 61 0.7× 128 1.7× 48 0.9× 7 375
Myoung‐Jae Shin South Korea 11 266 1.1× 65 0.6× 87 1.0× 58 0.8× 30 0.6× 51 370
Tae‐Young Hwang South Korea 12 518 2.1× 72 0.7× 75 0.9× 91 1.2× 62 1.1× 54 661
R. G. Ruiz United Kingdom 8 197 0.8× 49 0.5× 86 1.0× 133 1.8× 35 0.6× 9 326
Yoon‐Sup So South Korea 10 237 1.0× 35 0.3× 71 0.8× 58 0.8× 19 0.4× 33 336
Wenkai Du China 11 272 1.1× 99 1.0× 131 1.5× 79 1.0× 40 0.7× 17 445
Hyemyeong Yoon South Korea 9 181 0.7× 82 0.8× 39 0.4× 88 1.2× 13 0.2× 36 280
Huhn-Pal Moon South Korea 7 258 1.0× 94 0.9× 76 0.9× 67 0.9× 14 0.3× 14 387

Countries citing papers authored by Hong-Sig Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hong-Sig Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong-Sig Kim. 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 Hong-Sig Kim. The network helps show where Hong-Sig Kim may publish in the future.

Co-authorship network of co-authors of Hong-Sig Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Hong-Sig Kim. A scholar is included among the top collaborators of Hong-Sig Kim 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 Hong-Sig Kim. Hong-Sig Kim 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.
Hwang, Tae‐Young, et al.. (2020). Genetic Diversity Patterns and Discrimination of 172 Korean Soybean (Glycine max (L.) Merrill) Varieties Based on SSR Analysis. Agriculture. 10(3). 77–77. 13 indexed citations
2.
Nawaz, Muhammad Amjad, Kirill S. Golokhvast, Hafiz Mamoon Rehman, et al.. (2018). Soyisoflavone diversity in wild soybeans ( Glycine soja Sieb. & Zucc.) from the main centres of diversity. Biochemical Systematics and Ecology. 77. 16–21. 10 indexed citations
3.
Jang, Gwi Yeong, Meishan Li, Sang-Hoon Lee, et al.. (2013). Optimization of Processing Conditions and Selection of Optimum Species for Sweet Potato Chips. The Korean Journal of Food And Nutrition. 26(3). 565–572. 5 indexed citations
4.
Kim, Sun‐Lim, et al.. (2012). Variation of isoflavone contents in Korean soybean cultivars released from 1913 to 2006.. Korean Journal of Breeding Science. 44(2). 149–159. 7 indexed citations
5.
Park, Hyang-Mi, Sun‐Lim Kim, Jae-Eun Lee, et al.. (2012). Discrimination of 110 Korean soybean cultivars by sequence tagged sites (STS)-CAPS markers.. Korean Journal of Breeding Science. 44(3). 258–272. 10 indexed citations
6.
Lee, Jeonghoon, Ick-Hyun Jo, Jei-Wan Lee, et al.. (2010). Molecular Authentication of Scrophularia herbs by PCR-RFLP Based on rpl-5 Region of Mitochondrial DNA. Korean Journal of Medicinal Crop Science. 18(3). 173–179. 1 indexed citations
7.
Kim, Hong-Sig, et al.. (2010). Antioxidant and Anticancer Effects of Fermentation Vinegars with Phellinus linteus, Inonotus obliquus, and Pleurotus ostreatus. Korean Journal of Medicinal Crop Science. 18(2). 113–117. 10 indexed citations
8.
Kamal, Abu Hena Mostafa, et al.. (2009). Proteomics approach on puroindoline gene of pre-harvest sprouting wheat.. Korean Journal of Breeding Science. 41(3). 205–212. 3 indexed citations
9.
Kim, Hong-Sig, et al.. (2009). Evaluation of external quality of polished barley.. The Korean Journal of Crop Science. 54(1). 124–133. 4 indexed citations
10.
Jang, Keum‐Il, et al.. (2008). Changes in Oxalate and Phytate Concentrations During Soymilk Processing from the Seeds of Korean Soybean Cultivars. Food Science and Biotechnology. 17(5). 1122–1127. 7 indexed citations
11.
Kim, Min Ja, et al.. (2008). Analysis of Crude Fat and Fatty Acid in Collections of Ricinus communis L.. Korean Journal of Medicinal Crop Science. 16(5). 301–305. 2 indexed citations
12.
Park, Minhwa, Seung‐Woo Cho, Moon-Soon Lee, et al.. (2007). Proteomic Approach to Seed Developing Proteins in Buckwheat. 52(1). 173–173. 1 indexed citations
13.
Kim, Hong-Sig, et al.. (2007). Evaluation of external quality of brand soybeans.. The Korean Journal of Crop Science. 52(3). 239–248. 1 indexed citations
14.
Kim, Hong-Sig, et al.. (2006). Changes in the yield components and yield of sprout soybean cultivar as affected by sowing date.. The Korean Journal of Crop Science. 51(7). 584–592. 5 indexed citations
15.
Chung, Jong‐Wook, et al.. (2006). Discrimination of Korean Soybean Cultivars by SSR Markers. The Korean Journal of Crop Science. 51(7). 658–668. 5 indexed citations
16.
Kim, Min Ja, et al.. (2004). Effects of Bedsoil and Growth Regulator on Cutting Propagation of Cudrania tricuspidata Bureau. Korean Journal of Medicinal Crop Science. 12(4). 285–288. 2 indexed citations
17.
Bang, Kyong-Hwan, et al.. (2002). Selection of RAPD marker to discriminate the bolting-resistant varieties and commercial dried medicinal materials of Angelica species. Korean Journal of Medicinal Crop Science. 10(1). 46–50. 5 indexed citations
18.
Bang, Kyong-Hwan, et al.. (2001). Classification of Safflower(Carthamus tinctorius L.) Collections by Agronomic Characteristics. Korean Journal of Medicinal Crop Science. 9(4). 301–309. 1 indexed citations
19.
Kim, Hong-Sig, et al.. (1996). Effects of Locations and Planting dates on Disease Occurrence and Germination Rate of Seeds in Vegetable Soybean. The Korean Journal of Crop Science. 41(2). 178–187. 1 indexed citations
20.
Kim, Hong-Sig, et al.. (1995). Growth, Yield, and Quality of Vegetable Soybean and Their Responses to Different Planting Dates. The Korean Journal of Crop Science. 40(2). 228–235. 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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