Yongju Huang

1.8k total citations
52 papers, 1.2k citations indexed

About

Yongju Huang is a scholar working on Plant Science, Cell Biology and Molecular Biology. According to data from OpenAlex, Yongju Huang has authored 52 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 29 papers in Cell Biology and 10 papers in Molecular Biology. Recurrent topics in Yongju Huang's work include Plant-Microbe Interactions and Immunity (33 papers), Plant Pathogens and Fungal Diseases (29 papers) and Plant Pathogenic Bacteria Studies (12 papers). Yongju Huang is often cited by papers focused on Plant-Microbe Interactions and Immunity (33 papers), Plant Pathogens and Fungal Diseases (29 papers) and Plant Pathogenic Bacteria Studies (12 papers). Yongju Huang collaborates with scholars based in United Kingdom, China and France. Yongju Huang's co-authors include Bruce D.L. Fitt, Jonathan West, Ziqin Li, Frank van den Bosch, Graham J.W. King, Neal Evans, Mária Eckert, Thierry Rouxel, Marie‐Hélène Balesdent and Aiming Qi and has published in prestigious journals such as Genes & Development, PLoS ONE and Scientific Reports.

In The Last Decade

Yongju Huang

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongju Huang United Kingdom 18 1.0k 493 257 108 107 52 1.2k
Johnathon D. Fankhauser United States 7 524 0.5× 311 0.6× 226 0.9× 93 0.9× 36 0.3× 8 738
S. J. Marcroft Australia 21 1.1k 1.1× 473 1.0× 249 1.0× 47 0.4× 44 0.4× 42 1.2k
Dario Copetti United States 15 907 0.9× 180 0.4× 456 1.8× 244 2.3× 262 2.4× 34 1.2k
Craig E. Coleman United States 20 774 0.8× 116 0.2× 497 1.9× 289 2.7× 358 3.3× 33 1.3k
Rebecca Lyons Australia 12 1.3k 1.2× 176 0.4× 468 1.8× 136 1.3× 21 0.2× 18 1.4k
Timothy A. Rinehart United States 20 586 0.6× 168 0.3× 379 1.5× 218 2.0× 37 0.3× 64 911
Hortense Brun France 22 2.1k 2.0× 992 2.0× 352 1.4× 119 1.1× 131 1.2× 35 2.1k
Bruno Le Cam France 19 1.0k 1.0× 552 1.1× 229 0.9× 176 1.6× 26 0.2× 38 1.2k
Hélène Badouin France 11 376 0.4× 169 0.3× 294 1.1× 176 1.6× 44 0.4× 12 600
James T. English United States 14 485 0.5× 196 0.4× 225 0.9× 17 0.2× 66 0.6× 36 630

Countries citing papers authored by Yongju Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yongju Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongju Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yongju Huang. A scholar is included among the top collaborators of Yongju Huang 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 Yongju Huang. Yongju Huang 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.
Noel, K. Dale, David Hughes, Guilherme Targino Valente, et al.. (2024). Transcriptomics of temperature-sensitive R gene-mediated resistance identifies a WAKL10 protein interaction network. Scientific Reports. 14(1). 5023–5023. 5 indexed citations
2.
Huang, Yongju, et al.. (2024). Studying temperature’s impact on Brassica napus resistance to identify key regulatory mechanisms using comparative metabolomics. Scientific Reports. 14(1). 19865–19865. 2 indexed citations
3.
4.
5.
Kaczmarek, Joanna, Jonathan West, K. M. King, et al.. (2023). Efficient qPCR estimation and discrimination of airborne inoculum of Leptosphaeria maculans and L. biglobosa, the causal organisms of phoma leaf spotting and stem canker of oilseed rape. Pest Management Science. 80(5). 2453–2460. 3 indexed citations
6.
Huang, Yongju, et al.. (2022). Azole fungicide sensitivity and molecular mechanisms of reduced sensitivity in Irish Pyrenopeziza brassicae populations. Pest Management Science. 80(5). 2393–2404. 2 indexed citations
7.
Huang, Yongju, et al.. (2022). Effective control of Leptosphaeria maculans increases importance of L. biglobosa as a cause of phoma stem canker epidemics on oilseed rape. Pest Management Science. 80(5). 2405–2415. 4 indexed citations
8.
Noel, K. Dale, Aiming Qi, Steffen Rietz, et al.. (2022). Influence of Elevated Temperatures on Resistance Against Phoma Stem Canker in Oilseed Rape. Frontiers in Plant Science. 13. 785804–785804. 6 indexed citations
9.
Huang, Yongju, et al.. (2021). LAMP Detection and Identification of the Blackleg Pathogen Leptosphaeria biglobosa ‘brassicae’. Plant Disease. 105(10). 3192–3200. 8 indexed citations
10.
11.
Huang, Yongju, Aiming Qi, Graham J.W. King, & Bruce D.L. Fitt. (2014). Assessing Quantitative Resistance against Leptosphaeria maculans (Phoma Stem Canker) in Brassica napus (Oilseed Rape) in Young Plants. PLoS ONE. 9(1). e84924–e84924. 39 indexed citations
12.
Fitt, Bruce D.L. & Yongju Huang. (2014). Importance of Leptosphaeria biglobosa as a cause of phoma stem canker on winter oilseed rape in the UK. University of Hertfordshire Research Archive (University of Hertfordshire). 9 indexed citations
13.
White, R.P., Eren Demir, M. Jędryczka, et al.. (2013). Leptosphaeria spp., phoma stem canker and potential spread of L . maculans on oilseed rape crops in C hina. Plant Pathology. 63(3). 598–612. 49 indexed citations
14.
Huang, Yongju, et al.. (2012). Maturation of Leptosphaeria maculans and L. biglobosa pseudothecia and first appearance of phoma leaf spots on winter oilseed rape.. University of Hertfordshire Research Archive (University of Hertfordshire). 209–215.
15.
Huang, Yongju, et al.. (2011). Effects of fungicide on growth of Leptosphaeria maculans and L. biglobosa (phoma stem canker) in oilseed rape. Rothamsted Repository (Rothamsted Repository).
16.
Huang, Yongju, Neal Evans, Ziqin Li, et al.. (2006). Temperature and leaf wetness duration affect phenotypic expression of Rlm6-mediated resistance to Leptosphaeria maculans in Brassica napus. New Phytologist. 170(1). 129–141. 80 indexed citations
17.
Huang, Yongju, et al.. (2005). Resistance to Leptosphaeria maculans in Brassica napus (oilseed rape) leaves (phoma leaf spot) and stems (canker). Rothamsted Repository (Rothamsted Repository). 1 indexed citations
18.
Huang, Yongju, Bruce D.L. Fitt, & Avice Hall. (2002). Maturation of ascospores of A-group and B-group Leptosphaeria maculans (stem canker) on winter oilseed rape debris. University of Hertfordshire Research Archive (University of Hertfordshire). 729–732. 1 indexed citations
19.
West, Jonathan, et al.. (2002). Effects of timing of Leptosphaeria maculans ascospore release and fungicide regime on phoma leaf spot and phoma stem canker development on winter oilseed rape Brassica napus in southern England. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
20.
Huang, Yongju, et al.. (1991). Study on the tolerance to Sclerotinia sclerotiorum in Brassica napus and its genetic effects.. Zhongguo nongye Kexue. 24(3). 43–49. 3 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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