Hang Su

451 total citations
14 papers, 336 citations indexed

About

Hang Su is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Hang Su has authored 14 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 8 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Hang Su's work include CRISPR and Genetic Engineering (3 papers), Chromosomal and Genetic Variations (3 papers) and Plant Virus Research Studies (3 papers). Hang Su is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Chromosomal and Genetic Variations (3 papers) and Plant Virus Research Studies (3 papers). Hang Su collaborates with scholars based in China, United States and Czechia. Hang Su's co-authors include Yuanchun Wang, Nian Wang, Hui Tian, Chuanfeng Ju, Tian‐Qi Zhang, Guotian Liu, Mengjiao Li, Yan Xu, Cun Wang and Hong Mā and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Hang Su

13 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hang Su China 9 228 197 45 32 25 14 336
Huang-Lung Tsai Taiwan 9 359 1.6× 367 1.9× 22 0.5× 26 0.8× 11 0.4× 10 508
Yi-Hua Chen Taiwan 8 114 0.5× 183 0.9× 47 1.0× 15 0.5× 17 0.7× 15 291
Álvaro D. Fernández-Fernández Belgium 9 279 1.2× 200 1.0× 19 0.4× 8 0.3× 26 1.0× 13 424
Rachel A. Okrent United States 9 465 2.0× 285 1.4× 22 0.5× 29 0.9× 108 4.3× 13 641
Sunhee Oh United States 10 184 0.8× 187 0.9× 31 0.7× 13 0.4× 10 0.4× 24 333
Ya-Chen Huang Taiwan 9 404 1.8× 295 1.5× 17 0.4× 32 1.0× 17 0.7× 11 536
Ezequiel Margarit Argentina 11 133 0.6× 303 1.5× 13 0.3× 51 1.6× 22 0.9× 19 392
Alexander Knoll Germany 14 443 1.9× 534 2.7× 67 1.5× 36 1.1× 10 0.4× 19 633
Kuntal De United States 8 121 0.5× 215 1.1× 53 1.2× 28 0.9× 18 0.7× 15 255

Countries citing papers authored by Hang Su

Since Specialization
Citations

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

Fields of papers citing papers by Hang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Hang Su. A scholar is included among the top collaborators of Hang Su 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 Hang Su. Hang Su is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
2.
Su, Hang, et al.. (2024). The Ca2+-Regulated Protein Kinase CIPK1 Modulates Plant Response to Nitrate Deficiency in Arabidopsis. Genes. 15(9). 1235–1235. 1 indexed citations
3.
Su, Hang, et al.. (2024). Cas12a RNP-mediated co-transformation enables transgene-free multiplex genome editing, long deletions, and inversions in citrus chromosome. Frontiers in Plant Science. 15. 1448807–1448807. 3 indexed citations
4.
Su, Hang, Yuanchun Wang, Jin Xu, et al.. (2023). Generation of the transgene-free canker-resistant Citrus sinensis using Cas12a/crRNA ribonucleoprotein in the T0 generation. Nature Communications. 14(1). 3957–3957. 53 indexed citations
5.
Jia, Hongge, Yuanchun Wang, Hang Su, Xiaoen Huang, & Nian Wang. (2022). LbCas12a-D156R Efficiently Edits LOB1 Effector Binding Elements to Generate Canker-Resistant Citrus Plants. Cells. 11(3). 315–315. 20 indexed citations
6.
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8.
Su, Hang, Tian Wang, Chuanfeng Ju, et al.. (2020). Abscisic acid signaling negatively regulates nitrate uptake via phosphorylation of NRT1.1 by SnRK2s in Arabidopsis. Journal of Integrative Plant Biology. 63(3). 597–610. 59 indexed citations
9.
10.
Su, Hang, Yuntong Jiao, Fangfang Wang, et al.. (2018). Overexpression of VpPR10.1 by an efficient transformation method enhances downy mildew resistance in V. vinifera. Plant Cell Reports. 37(5). 819–832. 28 indexed citations
11.
Su, Hang, Zhihao Cheng, Jiyue Huang, et al.. (2017). Arabidopsis RAD51, RAD51C and XRCC3 proteins form a complex and facilitate RAD51 localization on chromosomes for meiotic recombination. PLoS Genetics. 13(5). e1006827–e1006827. 35 indexed citations
12.
Yin, Xiao, Ruiqi Liu, Hang Su, et al.. (2017). Pathogen development and host responses to Plasmopara viticola in resistant and susceptible grapevines: an ultrastructural study. Horticulture Research. 4(1). 17033–17033. 37 indexed citations
13.
Huang, Jiyue, Zhihao Cheng, Cong Wang, et al.. (2015). Formation of interference-sensitive meiotic cross-overs requires sufficient DNA leading-strand elongation. Proceedings of the National Academy of Sciences. 112(40). 12534–12539. 20 indexed citations
14.
Yuan, Bin, Long Cheng, Huai-Chin Chiang, et al.. (2014). A phosphotyrosine switch determines the antitumor activity of ERβ. Journal of Clinical Investigation. 124(8). 3378–3390. 59 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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2026