Brian Lenderts

2.8k total citations · 2 hit papers
13 papers, 1.1k citations indexed

About

Brian Lenderts is a scholar working on Molecular Biology, Plant Science and Horticulture. According to data from OpenAlex, Brian Lenderts has authored 13 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Plant Science and 1 paper in Horticulture. Recurrent topics in Brian Lenderts's work include CRISPR and Genetic Engineering (11 papers), Chromosomal and Genetic Variations (9 papers) and Plant tissue culture and regeneration (8 papers). Brian Lenderts is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Chromosomal and Genetic Variations (9 papers) and Plant tissue culture and regeneration (8 papers). Brian Lenderts collaborates with scholars based in United States, Lithuania and Ethiopia. Brian Lenderts's co-authors include Joshua K. Young, A. Mark Cigan, Christine Schwartz, Sergei Svitashev, Emily Wu, Pierluigi Barone, William Gordon‐Kamm, Ajith Anand, Chris Schwartz and Lanie Feigenbutz and has published in prestigious journals such as Nature Communications, PLANT PHYSIOLOGY and Scientific Reports.

In The Last Decade

Brian Lenderts

13 papers receiving 1.1k citations

Hit Papers

Genome editing in maize directed by CRISPR–Cas9 ribonucle... 2016 2026 2019 2022 2016 2023 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Genome editing in maize directed by CRISPR–Cas9 ribonucleoprotein complexes
    2016 553 citations Christine Schwartz, Brian Lenderts et al. Nature Communications profile →
  2. Leaf transformation for efficient random integration and targeted genome modification in maize and sorghum
    2023 90 citations Ning Wang, Nagesh Sardesai et al. Nature Plants profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Lenderts United States 12 961 805 159 138 115 13 1.1k
Jingying Li China 12 698 0.7× 703 0.9× 80 0.5× 96 0.7× 96 0.8× 20 938
Kai Hua China 13 942 1.0× 1.1k 1.3× 55 0.3× 212 1.5× 125 1.1× 15 1.4k
Claudia Corvalán South Korea 7 985 1.0× 814 1.0× 92 0.6× 92 0.7× 141 1.2× 7 1.1k
Keunsub Lee United States 15 765 0.8× 665 0.8× 108 0.7× 67 0.5× 110 1.0× 32 941
Masafumi Mikami Japan 17 1.6k 1.7× 1.3k 1.7× 130 0.8× 162 1.2× 259 2.3× 26 1.9k
Je Wook Woo South Korea 4 1.0k 1.0× 700 0.9× 110 0.7× 110 0.8× 170 1.5× 5 1.1k
Levi G. Lowder United States 9 1.4k 1.4× 967 1.2× 123 0.8× 108 0.8× 213 1.9× 10 1.5k
Chen Klap Israel 6 644 0.7× 688 0.9× 73 0.5× 65 0.5× 192 1.7× 8 839
Dalia Wolf Israel 15 664 0.7× 770 1.0× 122 0.8× 68 0.5× 166 1.4× 19 916
Felix Wolter Germany 11 613 0.6× 529 0.7× 47 0.3× 90 0.7× 99 0.9× 15 719

Countries citing papers authored by Brian Lenderts

Since Specialization
Citations

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

Fields of papers citing papers by Brian Lenderts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Lenderts

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

All Works

13 of 13 papers shown
1.
Wang, Ning, Nagesh Sardesai, Emily Wu, et al.. (2023). Leaf transformation for efficient random integration and targeted genome modification in maize and sorghum. Nature Plants. 9(2). 255–270. 90 indexed citations breakdown →
2.
Kumar, Sandeep, Zhan-Bin Liu, Brian Lenderts, et al.. (2022). Efficient gene targeting in soybean using Ochrobactrum haywardense-mediated delivery of a marker-free donor template. PLANT PHYSIOLOGY. 189(2). 585–594. 11 indexed citations
3.
Beyene, Getu, Raj Deepika Chauhan, Ning Wang, et al.. (2022). CRISPR/Cas9‐mediated tetra‐allelic mutation of the ‘Green Revolution’ SEMIDWARF‐1 (SD‐1) gene confers lodging resistance in tef (Eragrostis tef). Plant Biotechnology Journal. 20(9). 1716–1729. 34 indexed citations
4.
Barone, Pierluigi, Brian Lenderts, Chris Schwartz, et al.. (2021). Advances in Agrobacterium transformation and vector design result in high‐frequency targeted gene insertion in maize. Plant Biotechnology Journal. 19(10). 2000–2010. 27 indexed citations
5.
Barone, Pierluigi, Emily Wu, Brian Lenderts, et al.. (2020). Efficient Gene Targeting in Maize Using Inducible CRISPR-Cas9 and Marker-free Donor Template. Molecular Plant. 13(8). 1219–1227. 61 indexed citations
6.
Schwartz, Chris, Brian Lenderts, Lanie Feigenbutz, et al.. (2020). CRISPR–Cas9-mediated 75.5-Mb inversion in maize. Nature Plants. 6(12). 1427–1431. 75 indexed citations
7.
Young, Joshua K., Gina Zastrow‐Hayes, Stéphane Deschamps, et al.. (2019). CRISPR-Cas9 Editing in Maize: Systematic Evaluation of Off-target Activity and Its Relevance in Crop Improvement. Scientific Reports. 9(1). 6729–6729. 59 indexed citations
8.
Anand, Ajith, Emily Wu, Zhi Li, et al.. (2019). High efficiency Agrobacterium‐mediated site‐specific gene integration in maize utilizing the FLP‐FRT recombination system. Plant Biotechnology Journal. 17(8). 1636–1645. 35 indexed citations
9.
Jones, Todd J., Keith Lowe, George Hoerster, et al.. (2018). Maize Transformation Using the Morphogenic Genes Baby Boom and Wuschel2. Methods in molecular biology. 1864. 81–93. 40 indexed citations
10.
Schwartz, Christine, et al.. (2016). Genome editing in maize directed by CRISPR–Cas9 ribonucleoprotein complexes. Nature Communications. 7(1). 13274–13274. 553 indexed citations breakdown →
11.
Wu, Emily, Brian Lenderts, Kimberly Glassman, et al.. (2013). Optimized Agrobacterium-mediated sorghum transformation protocol and molecular data of transgenic sorghum plants. In Vitro Cellular & Developmental Biology - Plant. 50(1). 9–18. 93 indexed citations
12.
Yang, Meizhu, Vesna Djukanovic, Brian Lenderts, et al.. (2009). Targeted mutagenesis in the progeny of maize transgenic plants. Plant Molecular Biology. 70(6). 669–679. 27 indexed citations
13.
Djukanovic, Vesna, Brian Lenderts, Dennis Bidney, & L. Alexander Lyznik. (2008). A Cre::FLP fusion protein recombines FRT or loxP sites in transgenic maize plants†. Plant Biotechnology Journal. 6(8). 770–781. 10 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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