Byung-Dong Kim

1.8k total citations
52 papers, 1.3k citations indexed

About

Byung-Dong Kim is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Byung-Dong Kim has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 25 papers in Molecular Biology and 10 papers in Biotechnology. Recurrent topics in Byung-Dong Kim's work include Plant Virus Research Studies (20 papers), Plant Pathogenic Bacteria Studies (11 papers) and Plant-Microbe Interactions and Immunity (10 papers). Byung-Dong Kim is often cited by papers focused on Plant Virus Research Studies (20 papers), Plant Pathogenic Bacteria Studies (11 papers) and Plant-Microbe Interactions and Immunity (10 papers). Byung-Dong Kim collaborates with scholars based in South Korea, United States and Germany. Byung-Dong Kim's co-authors include Sangjik Lee, Jocelyn K. C. Rose, Doil Choi, Je Min Lee, Gibum Yi, Sanghyeob Lee, C. M. B. Damasceno, Jin‐Kyung Kwon, Byoung‐Cheorl Kang and Jung‐Heon Han and has published in prestigious journals such as Biochemical and Biophysical Research Communications, The Journal of Physical Chemistry C and The Plant Journal.

In The Last Decade

Byung-Dong Kim

50 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Byung-Dong Kim South Korea 21 1.1k 548 141 105 95 52 1.3k
María José Sánchez-Barrena Spain 15 546 0.5× 670 1.2× 57 0.4× 73 0.7× 60 0.6× 25 1.1k
Junichiro Marui Japan 14 382 0.4× 598 1.1× 16 0.1× 108 1.0× 125 1.3× 34 844
Stefanie Ranf Germany 19 1.9k 1.7× 583 1.1× 31 0.2× 125 1.2× 57 0.6× 30 2.2k
Alejandro Blanco‐Labra Mexico 17 465 0.4× 539 1.0× 63 0.4× 72 0.7× 239 2.5× 44 906
Renu Srivastava United States 9 1.0k 1.0× 1.0k 1.9× 28 0.2× 723 6.9× 233 2.5× 9 1.7k
Diána Horváth United States 14 1.6k 1.5× 564 1.0× 43 0.3× 171 1.6× 107 1.1× 24 1.8k
Yuejin Wang China 16 545 0.5× 552 1.0× 13 0.1× 56 0.5× 67 0.7× 36 775
Kei‐ichiro Mishiba Japan 23 1.0k 0.9× 1.3k 2.4× 39 0.3× 506 4.8× 239 2.5× 62 1.8k
Jim Brandle Canada 18 308 0.3× 965 1.8× 93 0.7× 17 0.2× 584 6.1× 23 1.3k
Heping Zhao China 16 567 0.5× 422 0.8× 61 0.4× 39 0.4× 16 0.2× 47 762

Countries citing papers authored by Byung-Dong Kim

Since Specialization
Citations

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

Fields of papers citing papers by Byung-Dong Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Byung-Dong Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Byung-Dong Kim. A scholar is included among the top collaborators of Byung-Dong 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 Byung-Dong Kim. Byung-Dong 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.
Kim, Moon Ki, et al.. (2018). Construction of Foldback Intercoil DNA Nanostructures and Analysis of Their Vibrational Modes. The Journal of Physical Chemistry C. 122(5). 2890–2896. 2 indexed citations
2.
Kim, Byung-Dong. (2014). Foldback Intercoil DNA and the Mechanism of DNA Transposition. Genomics & Informatics. 12(3). 80–80. 4 indexed citations
3.
Park, Minkyu, Sung‐Hwan Jo, Jin‐Kyung Kwon, et al.. (2011). Comparative analysis of pepper and tomato reveals euchromatin expansion of pepper genome caused by differential accumulation of Ty3/Gypsy-like elements. BMC Genomics. 12(1). 85–85. 27 indexed citations
4.
Lee, Sangjik, C. M. B. Damasceno, Suma Chakravarthy, et al.. (2010). A secreted effector protein (SNE1) from Phytophthora infestans is a broadly acting suppressor of programmed cell death. The Plant Journal. 62(3). 357–366. 101 indexed citations
5.
Kim, Byoung Kwon, Jung‐Heon Han, Seungill Kim, et al.. (2010). Trichome density of main stem is tightly linked to PepMoV resistance in chili pepper (Capsicum annuum L.). Theoretical and Applied Genetics. 122(6). 1051–1058. 33 indexed citations
6.
Kwon, Jin‐Kyung & Byung-Dong Kim. (2009). Localization of 5S and 25S rRNA Genes on Somatic and Meiotic Chromosomes in Capsicum Species of Chili Pepper. Molecules and Cells. 27(2). 205–209. 34 indexed citations
7.
Kim, Hyun Jung, Jung‐Heon Han, Jin‐Kyung Kwon, et al.. (2009). Fine mapping of pepper trichome locus 1 controlling trichome formation in Capsicum annuum L. CM334. Theoretical and Applied Genetics. 120(6). 1099–1106. 19 indexed citations
8.
Shi, Jinxia, Doil Choi, Byung-Dong Kim, & Byoung‐Cheorl Kang. (2008). Inheritance Study of Potato Virus X Resistance in Capsicum annuum. 116–116.
9.
Kim, Hyoun-Joung, Seokhyeon Nahm, Ki-Taek Kim, et al.. (2008). BAC-derived markers converted from RFLP linked to Phytophthora capsici resistance in pepper (Capsicum annuum L.). Theoretical and Applied Genetics. 118(1). 15–27. 48 indexed citations
10.
Cho, Myeong-Cheoul, et al.. (2008). Marker Development for Erect versus Pendant-Orientated Fruit in Capsicum annuum L.. Molecules and Cells. 26(6). 548–553. 17 indexed citations
11.
12.
Kim, Byung-Dong. (2006). Crisis in Horticultural Education. 53–53.
13.
Lee, Sangjik, Byung-Dong Kim, & Jocelyn K. C. Rose. (2006). Identification of eukaryotic secreted and cell surface proteins using the yeast secretion trap screen. Nature Protocols. 1(5). 2439–2447. 34 indexed citations
14.
Won, Young‐Suk, Jae Heung Jeon, Chun Jeih Ryu, et al.. (2006). Oral immunogenicity of potato-derived HBsAg middle protein in BALB/c mice. Vaccine. 25(3). 577–584. 25 indexed citations
15.
Yi, Gibum, Je Min Lee, Sanghyeob Lee, Doil Choi, & Byung-Dong Kim. (2006). Exploitation of pepper EST–SSRs and an SSR-based linkage map. Theoretical and Applied Genetics. 114(1). 113–130. 162 indexed citations
16.
Lee, Sangjik, et al.. (2006). A Functional Screen to Characterize the Secretomes of Eukaryotic Pathogens and Their Hosts In Planta. Molecular Plant-Microbe Interactions. 19(12). 1368–1377. 50 indexed citations
17.
Yamane, Hisayo, Sangjik Lee, Byung-Dong Kim, Ryutaro Tao, & Jocelyn K. C. Rose. (2005). A coupled yeast signal sequence trap and transient plant expression strategy to identify genes encoding secreted proteins from peach pistils. Journal of Experimental Botany. 56(418). 2229–2238. 16 indexed citations
18.
Kim, Dong‐Hwan, et al.. (2001). Identification of coxII and atp6 Regions as Associated to CMS in Capsicum annuum by Using RFLP and Long Accurate PCR. Horticulture Environment and Biotechnology. 42(2). 121–127. 11 indexed citations
19.
Hur, Yoon‐Sun & Byung-Dong Kim. (2001). In vivo Study of Infection Process and Development of Stem and Root Rot Disease in Capsicum annum by Fungal Pathogen Phytophthora capsici. 59–59. 1 indexed citations
20.
Kim, Byung-Dong, et al.. (1995). Development of insect resistance in tomato plants expressing the δ-endotoxin gene ofBacillus thuringiensis subsp.tenebrionis. Molecular Breeding. 1(3). 229–236. 11 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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