Patrick J. Krysan

4.6k total citations · 1 hit paper
54 papers, 3.6k citations indexed

About

Patrick J. Krysan is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Patrick J. Krysan has authored 54 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 37 papers in Molecular Biology and 9 papers in Genetics. Recurrent topics in Patrick J. Krysan's work include Plant Molecular Biology Research (18 papers), Plant tissue culture and regeneration (15 papers) and CRISPR and Genetic Engineering (10 papers). Patrick J. Krysan is often cited by papers focused on Plant Molecular Biology Research (18 papers), Plant tissue culture and regeneration (15 papers) and CRISPR and Genetic Engineering (10 papers). Patrick J. Krysan collaborates with scholars based in United States, United Kingdom and Australia. Patrick J. Krysan's co-authors include Michael R. Sussman, Jeffery C. Young, M P Calos, Steven B. Haase, Michèle P. Calos, Peter Jester, Susan Bush, Ray F. Evert, Richard M. Amasino and Sandra Austin‐Phillips and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Plant Cell.

In The Last Decade

Patrick J. Krysan

53 papers receiving 3.5k citations

Hit Papers

T-DNA as an Insertional Mutagen in Arabidopsis 1999 2026 2008 2017 1999 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
Patrick J. Krysan United States 31 2.4k 2.4k 359 228 189 54 3.6k
William L. Crosby Canada 31 3.4k 1.4× 3.8k 1.6× 206 0.6× 186 0.8× 188 1.0× 64 5.3k
Yves Henry France 40 1.8k 0.7× 5.2k 2.1× 246 0.7× 199 0.9× 79 0.4× 121 5.7k
Jens Boch Germany 32 3.3k 1.4× 3.4k 1.4× 847 2.4× 110 0.5× 68 0.4× 58 6.1k
David Gidoni Israel 23 1.1k 0.5× 1.7k 0.7× 273 0.8× 222 1.0× 55 0.3× 38 2.5k
A. Mark Cigan United States 31 2.2k 0.9× 4.8k 2.0× 521 1.5× 65 0.3× 103 0.5× 42 5.5k
Paula Grisafi United States 23 2.5k 1.0× 3.6k 1.5× 331 0.9× 101 0.4× 228 1.2× 28 4.9k
Feifei Yu China 30 1.5k 0.6× 1.3k 0.5× 151 0.4× 86 0.4× 170 0.9× 69 2.6k
Thomas Lahaye Germany 37 4.3k 1.8× 4.3k 1.8× 861 2.4× 121 0.5× 89 0.5× 76 7.4k
Nicolas Delhomme Sweden 25 1.1k 0.5× 1.8k 0.8× 271 0.8× 93 0.4× 51 0.3× 55 2.5k
Thierry Lagrange France 25 2.1k 0.9× 2.7k 1.1× 244 0.7× 86 0.4× 50 0.3× 38 3.9k

Countries citing papers authored by Patrick J. Krysan

Since Specialization
Citations

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

Fields of papers citing papers by Patrick J. Krysan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick J. Krysan. 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 Patrick J. Krysan. The network helps show where Patrick J. Krysan may publish in the future.

Co-authorship network of co-authors of Patrick J. Krysan

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick J. Krysan. A scholar is included among the top collaborators of Patrick J. Krysan 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 Patrick J. Krysan. Patrick J. Krysan 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.
Yarra, Rajesh & Patrick J. Krysan. (2025). Generation of transgene-free genome-edited carrot plants using CRISPR/Cas9-RNP complexes. Plant Cell Reports. 44(5). 107–107. 2 indexed citations
2.
Mora, Conchi, Michael J. Havey, & Patrick J. Krysan. (2025). Efficient production of gene-edited onion (Allium cepa) plants using biolistic delivery of cas9 RNPs and transient expression constructs. Plant Cell Reports. 44(11). 243–243.
3.
Yarra, Rajesh & Patrick J. Krysan. (2024). An SpG-Cas9-based cytosine base editor expands the scope of genome editing in carrot plants. Plant Cell Reports. 43(3). 82–82. 2 indexed citations
4.
Goldman, Irwin L., et al.. (2023). Chromosome-level changes and genome elimination by manipulation of CENH3 in carrot (Daucus carota). Frontiers in Plant Science. 14. 1294551–1294551. 3 indexed citations
5.
Wang, Peipei, Fanrui Meng, Nicholas Panchy, et al.. (2022). High‐throughput measurement of plant fitness traits with an object detection method using Faster R‐CNN. New Phytologist. 234(4). 1521–1533. 9 indexed citations
6.
Goldman, Irwin L., et al.. (2022). Efficient production of transgene-free, gene-edited carrot plants via protoplast transformation. Plant Cell Reports. 41(4). 947–960. 17 indexed citations
7.
Wang, Peipei, Bethany M. Moore, Fanrui Meng, et al.. (2021). Predictive Models of Genetic Redundancy inArabidopsis thaliana. Molecular Biology and Evolution. 38(8). 3397–3414. 19 indexed citations
8.
Watkins, Justin M., Timothy J Ross-Elliott, Xiaoyi Shan, et al.. (2021). Differential regulation of G protein signaling in Arabidopsis through two distinct pathways that internalize AtRGS1. Science Signaling. 14(695). 13 indexed citations
9.
Sun, Tongjun, Kevin Ao, Qing Kong, et al.. (2018). MKK6 Functions in Two Parallel MAP Kinase Cascades in Immune Signaling. PLANT PHYSIOLOGY. 178(3). 1284–1295. 36 indexed citations
10.
Krysan, Patrick J. & Jean Colcombet. (2018). Cellular Complexity in MAPK Signaling in Plants: Questions and Emerging Tools to Answer Them. Frontiers in Plant Science. 9. 1674–1674. 42 indexed citations
11.
Su, Shih‐Heng, et al.. (2018). Recombination between T-DNA insertions to cause chromosomal deletions in Arabidopsis is a rare phenomenon. PeerJ. 6. e5076–e5076. 4 indexed citations
12.
Forde, Brian, Sean R. Cutler, Najia Zaman, & Patrick J. Krysan. (2013). Glutamate signalling via a MEKK1 kinase‐dependent pathway induces changes in Arabidopsis root architecture. The Plant Journal. 75(1). 1–10. 62 indexed citations
13.
Su, Shih‐Heng, et al.. (2012). Genetic analysis of the Arabidopsis protein kinases MAP3Kε1 and MAP3Kε2 indicates roles in cell expansion and embryo development. Frontiers in Plant Science. 3. 228–228. 21 indexed citations
14.
Krysan, Patrick J., et al.. (2010). Chromosomal translocations are a common phenomenon in Arabidopsis thaliana T-DNA insertion lines. The Plant Journal. 64(6). 990–1001. 81 indexed citations
15.
16.
Bush, Susan & Patrick J. Krysan. (2007). Mutational evidence that the Arabidopsis MAP kinase MPK6 is involved in anther, inflorescence, and embryo development. Journal of Experimental Botany. 58(8). 2181–2191. 96 indexed citations
17.
Woody, Scott, Sandra Austin‐Phillips, Richard M. Amasino, & Patrick J. Krysan. (2006). The WiscDsLox T-DNA collection: an arabidopsis community resource generated by using an improved high-throughput T-DNA sequencing pipeline. Journal of Plant Research. 120(1). 157–165. 124 indexed citations
18.
Krysan, Patrick J., et al.. (1993). Epstein-Barr virus-based vectors that replicate in rodent cells. Gene. 136(1-2). 137–143. 48 indexed citations
19.
Krysan, Patrick J., et al.. (1991). Autonomous DNA Replication in Human Cells Is Affected by the Size and the Source of the DNA. Molecular and Cellular Biology. 11(4). 2263–2272. 47 indexed citations
20.
Haase, Steven B., et al.. (1989). Improved EBV shuttle vectors. Mutation Research/Reviews in Genetic Toxicology. 220(2-3). 125–132. 6 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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