Si Nian Char

1.9k total citations
21 papers, 854 citations indexed

About

Si Nian Char is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Si Nian Char has authored 21 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 15 papers in Molecular Biology and 4 papers in Insect Science. Recurrent topics in Si Nian Char's work include CRISPR and Genetic Engineering (11 papers), Chromosomal and Genetic Variations (9 papers) and Plant Virus Research Studies (5 papers). Si Nian Char is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Chromosomal and Genetic Variations (9 papers) and Plant Virus Research Studies (5 papers). Si Nian Char collaborates with scholars based in United States, Germany and China. Si Nian Char's co-authors include Bing Yang, Martin H. Spalding, Kan Wang, Marcy Main, Bronwyn Frame, Blake C. Meyers, Wolf B. Frommer, Hartinio Natalia Nahampun, Virginia Walbot and Philip W. Becraft and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.

In The Last Decade

Si Nian Char

21 papers receiving 841 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Si Nian Char United States 11 698 542 80 57 54 21 854
Tom Lawrenson United Kingdom 10 762 1.1× 752 1.4× 69 0.9× 57 1.0× 46 0.9× 13 964
Oluwaseyi Shorinola United Kingdom 9 612 0.9× 392 0.7× 77 1.0× 55 1.0× 35 0.6× 12 714
Jarrett Man United States 6 880 1.3× 763 1.4× 162 2.0× 74 1.3× 47 0.9× 10 1.0k
Gina Zastrow‐Hayes United States 13 657 0.9× 628 1.2× 173 2.2× 37 0.6× 45 0.8× 16 952
Mugui Wang China 12 559 0.8× 575 1.1× 75 0.9× 56 1.0× 72 1.3× 20 743
Jean‐Michel Michno United States 13 570 0.8× 440 0.8× 123 1.5× 28 0.5× 42 0.8× 22 737
Yizan Ma China 17 988 1.4× 738 1.4× 61 0.8× 67 1.2× 36 0.7× 29 1.1k
Patrick Schindele Germany 15 559 0.8× 724 1.3× 83 1.0× 99 1.7× 46 0.9× 23 820
Claudia Corvalán South Korea 7 814 1.2× 985 1.8× 92 1.1× 141 2.5× 92 1.7× 7 1.1k

Countries citing papers authored by Si Nian Char

Since Specialization
Citations

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

Fields of papers citing papers by Si Nian Char

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Si Nian Char. 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 Si Nian Char. The network helps show where Si Nian Char may publish in the future.

Co-authorship network of co-authors of Si Nian Char

This figure shows the co-authorship network connecting the top 25 collaborators of Si Nian Char. A scholar is included among the top collaborators of Si Nian Char 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 Si Nian Char. Si Nian Char 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.
Jores, Tobias, Jackson Tonnies, Si Nian Char, et al.. (2025). Small DNA elements can act as both insulators and silencers in plants. The Plant Cell. 37(6). 2 indexed citations
2.
Mu, Qi, Hua Liu, Si Nian Char, et al.. (2024). A MYB transcription factor underlying plant height in sorghum qHT7.1 and maize Brachytic 1 loci. The Plant Journal. 120(5). 2172–2192. 3 indexed citations
3.
Birchler, James A., J. B. Singh, Hua Liu, et al.. (2024). Synthetic minichromosomes in plants: past, present, and promise. The Plant Journal. 120(6). 2356–2366. 7 indexed citations
4.
Murphy, Katherine M., Si Nian Char, Bing Yang, et al.. (2023). A dolabralexin-deficient mutant provides insight into specialized diterpenoid metabolism in maize. PLANT PHYSIOLOGY. 192(2). 1338–1358. 5 indexed citations
5.
Kumar, Jitesh, Si Nian Char, Trevor Weiss, et al.. (2023). Efficient protein tagging and cis-regulatory element engineering via precise and directional oligonucleotide-based targeted insertion in plants. The Plant Cell. 35(8). 2722–2735. 22 indexed citations
6.
Nan, Qiong, Si Nian Char, Bing Yang, et al.. (2022). Polarly localized WPR proteins interact with PAN receptors and the actin cytoskeleton during maize stomatal development. The Plant Cell. 35(1). 469–487. 10 indexed citations
7.
Dai, Dawei, Mary Galli, Si Nian Char, et al.. (2022). Paternal imprinting of dosage-effect defective1 contributes to seed weight xenia in maize. Nature Communications. 13(1). 5366–5366. 14 indexed citations
8.
Augustine, Robert C., Masaharu Suzuki, Juanjuan Feng, et al.. (2021). The SUMO ligase MMS21 profoundly influences maize development through its impact on genome activity and stability. PLoS Genetics. 17(10). e1009830–e1009830. 13 indexed citations
9.
Char, Si Nian, Hyeyoung Lee, & Bing Yang. (2020). Use of CRISPR/Cas9 for Targeted Mutagenesis in Sorghum. PubMed. 5(2). e20112–e20112. 9 indexed citations
10.
Santoso, Tri Joko, et al.. (2020). Targeted mutation of GA20ox-2 gene using CRISPR/Cas9 system generated semi-dwarf phenotype in rice. IOP Conference Series Earth and Environmental Science. 482(1). 12027–12027. 8 indexed citations
11.
Poretsky, Elly, Keini Dressano, Philipp Weckwerth, et al.. (2020). Differential activities of maize plant elicitor peptides as mediators of immune signaling and herbivore resistance. The Plant Journal. 104(6). 1582–1602. 25 indexed citations
12.
Wu, Qingyu, Fang Xu, Lei Liu, et al.. (2019). The maize heterotrimeric G protein β subunit controls shoot meristem development and immune responses. Proceedings of the National Academy of Sciences. 117(3). 1799–1805. 86 indexed citations
13.
Li, Riqing, Si Nian Char, & Bing Yang. (2019). Creating Large Chromosomal Deletions in Rice Using CRISPR/Cas9. Methods in molecular biology. 1917. 47–61. 10 indexed citations
14.
Char, Si Nian & Bing Yang. (2019). Genome editing in grass plants. aBIOTECH. 1(1). 41–57. 10 indexed citations
15.
Eom, Joon‐Seob, Dangping Luo, Jungil Yang, et al.. (2019). Diagnostic kit for rice blight resistance. Nature Biotechnology. 37(11). 1372–1379. 99 indexed citations
16.
Bi, Honghao, Qili Fei, Riqing Li, et al.. (2019). Disruption of miRNA sequences by TALENs and CRISPR/Cas9 induces varied lengths of miRNA production. Plant Biotechnology Journal. 18(7). 1526–1536. 43 indexed citations
17.
Bezrutczyk, Margaret, Thomas Hartwig, Si Nian Char, et al.. (2018). Impaired phloem loading in zmsweet13a,b,c sucrose transporter triple knock‐out mutants in Zea mays. New Phytologist. 218(2). 594–603. 134 indexed citations
18.
Char, Si Nian, Riqing Li, & Bing Yang. (2018). CRISPR/Cas9 for Mutagenesis in Rice. Methods in molecular biology. 1864. 279–293. 9 indexed citations
19.
Char, Si Nian, Anjanasree K. Neelakandan, Hartinio Natalia Nahampun, et al.. (2016). An Agrobacterium‐delivered CRISPR/Cas9 system for high‐frequency targeted mutagenesis in maize. Plant Biotechnology Journal. 15(2). 257–268. 226 indexed citations
20.
Char, Si Nian, Erica Unger‐Wallace, Bronwyn Frame, et al.. (2015). Heritable site‐specific mutagenesis using TALENs in maize. Plant Biotechnology Journal. 13(7). 1002–1010. 85 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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