Ingyu Hwang

5.1k total citations · 1 hit paper
92 papers, 4.0k citations indexed

About

Ingyu Hwang is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Ingyu Hwang has authored 92 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Plant Science, 49 papers in Molecular Biology and 19 papers in Endocrinology. Recurrent topics in Ingyu Hwang's work include Plant Pathogenic Bacteria Studies (44 papers), Plant-Microbe Interactions and Immunity (32 papers) and Legume Nitrogen Fixing Symbiosis (32 papers). Ingyu Hwang is often cited by papers focused on Plant Pathogenic Bacteria Studies (44 papers), Plant-Microbe Interactions and Immunity (32 papers) and Legume Nitrogen Fixing Symbiosis (32 papers). Ingyu Hwang collaborates with scholars based in South Korea, United States and Japan. Ingyu Hwang's co-authors include Jinwoo Kim, Yongsung Kang, Stephen K. Farrand, Eunhye Goo, Jae Sun Moon, Yeonhwa Jeong, Jung-Gun Kim, Yang Do Choi, Yin‐Won Lee and Jong‐Joo Cheong and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Ingyu Hwang

90 papers receiving 3.9k citations

Hit Papers

Jasmonic acid carboxyl methyltransferase: A key enzyme fo... 2001 2026 2009 2017 2001 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ingyu Hwang South Korea 35 2.4k 1.9k 596 397 339 92 4.0k
Ling Qin China 30 2.0k 0.8× 1.9k 1.0× 535 0.9× 195 0.5× 252 0.7× 124 3.5k
Kouhei Ohnishi Japan 36 1.9k 0.8× 2.0k 1.0× 939 1.6× 544 1.4× 661 1.9× 184 4.6k
D. Steven Hill United States 15 1.4k 0.6× 2.1k 1.1× 648 1.1× 344 0.9× 485 1.4× 18 4.0k
Dmitri V. Mavrodi United States 34 2.7k 1.1× 2.3k 1.2× 558 0.9× 215 0.5× 547 1.6× 84 5.0k
Cornelia Reimmann Switzerland 36 1.8k 0.8× 2.7k 1.4× 1.4k 2.4× 461 1.2× 525 1.5× 61 4.2k
Leland S. Pierson United States 38 2.5k 1.1× 2.8k 1.4× 1.1k 1.8× 333 0.8× 949 2.8× 68 5.2k
René De Mot Belgium 41 1.7k 0.7× 2.6k 1.3× 652 1.1× 275 0.7× 816 2.4× 135 4.9k
Miguel A. Matilla Spain 33 1.3k 0.5× 1.6k 0.8× 730 1.2× 233 0.6× 412 1.2× 95 2.9k
Friedhelm Meinhardt Germany 32 957 0.4× 2.6k 1.3× 788 1.3× 156 0.4× 665 2.0× 138 3.6k
Yuki Ichinose Japan 40 3.5k 1.5× 1.6k 0.8× 209 0.4× 453 1.1× 165 0.5× 201 4.8k

Countries citing papers authored by Ingyu Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Ingyu Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingyu Hwang. 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 Ingyu Hwang. The network helps show where Ingyu Hwang may publish in the future.

Co-authorship network of co-authors of Ingyu Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Ingyu Hwang. A scholar is included among the top collaborators of Ingyu Hwang 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 Ingyu Hwang. Ingyu Hwang 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.
Goo, Eunhye, et al.. (2021). Membrane Depolarization and Apoptosis-Like Cell Death in an Alkaline Environment in the Rice Pathogen Burkholderia glumae. Frontiers in Microbiology. 12. 755596–755596. 10 indexed citations
2.
Goo, Eunhye, et al.. (2021). Mutations in the Two-Component GluS-GluR Regulatory System Confer Resistance to β-Lactam Antibiotics in Burkholderia glumae. Frontiers in Microbiology. 12. 721444–721444. 3 indexed citations
3.
Kwon, Min, et al.. (2020). Distribution of Pectobacterium Species Isolated in South Korea and Comparison of Temperature Effects on Pathogenicity. The Plant Pathology Journal. 36(4). 346–354. 19 indexed citations
4.
Song, Eun‐Sung, Sunggi Heu, Jeongho Baek, et al.. (2019). Prediction of Host-Specific Genes by Pan-Genome Analyses of the Korean Ralstonia solanacearum Species Complex. Frontiers in Microbiology. 10. 506–506. 20 indexed citations
5.
Kang, Yongsung & Ingyu Hwang. (2018). Glutamate uptake is important for osmoregulation and survival in the rice pathogen Burkholderia glumae. PLoS ONE. 13(1). e0190431–e0190431. 21 indexed citations
7.
Kang, Yongsung, Eunhye Goo, Jinwoo Kim, & Ingyu Hwang. (2017). Critical role of quorum sensing-dependent glutamate metabolism in homeostatic osmolality and outer membrane vesiculation in Burkholderia glumae. Scientific Reports. 7(1). 44195–44195. 14 indexed citations
8.
Seo, Young‐Su, Jae Yun Lim, Jungwook Park, et al.. (2015). Comparative genome analysis of rice-pathogenic Burkholderia provides insight into capacity to adapt to different environments and hosts. BMC Genomics. 16(1). 349–349. 50 indexed citations
10.
Jang, Moon‐Sun, Eunhye Goo, Jae Hyung An, Jinwoo Kim, & Ingyu Hwang. (2014). Quorum Sensing Controls Flagellar Morphogenesis in Burkholderia glumae. PLoS ONE. 9(1). e84831–e84831. 29 indexed citations
11.
Oh, Juntaek, Eunhye Goo, Ingyu Hwang, & Sangkee Rhee. (2014). Structural Basis for Bacterial Quorum Sensing-mediated Oxalogenesis. Journal of Biological Chemistry. 289(16). 11465–11475. 10 indexed citations
12.
Park, Jong‐Chul, et al.. (2013). Development of a Selective Medium for the Fungal Pathogen Fusarium graminearum Using Toxoflavin Produced by the Bacterial Pathogen Burkholderia glumae. The Plant Pathology Journal. 29(4). 446–450. 14 indexed citations
13.
Choi, Okhee, et al.. (2013). A simple and sensitive biosensor strain for detecting toxoflavin using β-galactosidase activity. Biosensors and Bioelectronics. 50. 256–261. 20 indexed citations
14.
Kim, Jinwoo, et al.. (2011). RICE SHEATH AND GRAIN ROT CAUSED BY BURKHOLDERIA GLADIOLI IN KOREA. Journal of Plant Pathology. 93. 4–87. 1 indexed citations
15.
Cheong, Jong‐Joo, Ingyu Hwang, Sangkee Rhee, et al.. (2007). Complementation of an E. coli cysteine auxotrophic mutant for the structural modification study of 3′(2′),5′-bisphosphate nucleotidase. Biotechnology Letters. 29(6). 913–918. 4 indexed citations
16.
Jeong, Yeonhwa, et al.. (2005). Rsa1 Determines a Host Range of Ralstonia solanacearum. 157–158.
17.
Kim, Jong Soo, et al.. (2004). Versatile Catabolic Properties of Tn4371-encoded bph Pathway in Comamonas testosteroni (Formerly Pseudomonas sp.) NCIMB 10643. Journal of Microbiology and Biotechnology. 14(2). 302–311. 7 indexed citations
18.
Kim, Jinwoo, et al.. (2003). Identification of Genes for Biosynthesis of Antibacterial Compound from Pseudomonas fluorescens B16, and its Activity Against Ralstonia solanacearum. Journal of Microbiology and Biotechnology. 13(2). 292–300. 7 indexed citations
19.
Seo, Hak Soo, Jong Tae Song, Jong‐Joo Cheong, et al.. (2001). Jasmonic acid carboxyl methyltransferase: A key enzyme for jasmonate-regulated plant responses. Proceedings of the National Academy of Sciences. 98(8). 4788–4793. 568 indexed citations breakdown →
20.
Hwang, Ingyu, et al.. (2001). Characterization of Quorum-Sensing Signaling Molecules Produced by Burkholderia cepacia G4. Journal of Microbiology and Biotechnology. 11(5). 804–811. 8 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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