Keini Dressano

493 total citations
9 papers, 299 citations indexed

About

Keini Dressano is a scholar working on Plant Science, Molecular Biology and Insect Science. According to data from OpenAlex, Keini Dressano has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Plant Science, 5 papers in Molecular Biology and 3 papers in Insect Science. Recurrent topics in Keini Dressano's work include Plant Molecular Biology Research (4 papers), Plant Stress Responses and Tolerance (2 papers) and Insect and Pesticide Research (2 papers). Keini Dressano is often cited by papers focused on Plant Molecular Biology Research (4 papers), Plant Stress Responses and Tolerance (2 papers) and Insect and Pesticide Research (2 papers). Keini Dressano collaborates with scholars based in United States, Brazil and Belgium. Keini Dressano's co-authors include Daniel S. Moura, Alisa Huffaker, Elly Poretsky, Fausto Andres Ortiz‐Morea, Paulo H. O. Ceciliato, Márcio C. Silva-Filho, Tábata Bergonci, Juan Carlos Guerrero‐Abad, Philipp Weckwerth and Julian I. Schroeder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Plant Journal.

In The Last Decade

Keini Dressano

9 papers receiving 299 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Keini Dressano United States	8	252	157	32	22	6	9	299
Alexandra M. Shigenaga United States	3	291 1.2×	80 0.5×	29 0.9×	39 1.8×	14 2.3×	3	309
Hamama Islam Butt China	6	340 1.3×	199 1.3×	20 0.6×	12 0.5×	4 0.7×	10	377
Valerio Pompili Italy	9	245 1.0×	196 1.2×	43 1.3×	25 1.1×	3 0.5×	10	285
Reza Shafiei United Kingdom	6	295 1.2×	179 1.1×	13 0.4×	20 0.9×	6 1.0×	8	358
Emmanouil Domazakis Netherlands	6	259 1.0×	64 0.4×	16 0.5×	65 3.0×	6 1.0×	8	288
Pavan Kumar India	5	531 2.1×	125 0.8×	15 0.5×	31 1.4×	4 0.7×	8	551
Tim Thurau Germany	7	278 1.1×	112 0.7×	30 0.9×	14 0.6×	4 0.7×	7	306
Ikuko Munemura Japan	8	333 1.3×	153 1.0×	26 0.8×	17 0.8×	10 1.7×	9	358
Fuxin He China	8	321 1.3×	135 0.9×	12 0.4×	53 2.4×	8 1.3×	11	343
Morgan K. Halane South Korea	5	415 1.6×	73 0.5×	11 0.3×	12 0.5×	5 0.8×	8	439

Countries citing papers authored by Keini Dressano

Since Specialization

Citations

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

Fields of papers citing papers by Keini Dressano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keini Dressano

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

Poretsky, Elly, Keini Dressano, Geoffrey P. Morris, et al.. (2022). A sorghum genome-wide association study (GWAS) identifies a WRKY transcription factor as a candidate gene underlying sugarcane aphid (Melanaphis sacchari) resistance. Planta. 255(2). 37–37. 18 indexed citations

Poretsky, Elly, et al.. (2021). Comparative analyses of responses to exogenous and endogenous antiherbivore elicitors enable a forward genetics approach to identify maize gene candidates mediating sensitivity to herbivore‐associated molecular patterns. The Plant Journal. 108(5). 1295–1316. 11 indexed citations

Dressano, Keini, Philipp Weckwerth, Elly Poretsky, et al.. (2020). Dynamic regulation of Pep-induced immunity through post-translational control of defence transcript splicing. Nature Plants. 6(8). 1008–1019. 50 indexed citations

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

Park, Ji Young, Tae‐Houn Kim, Yohei Takahashi, et al.. (2019). Chemical genetic identification of a lectin receptor kinase that transduces immune responses and interferes with abscisic acid signaling. The Plant Journal. 98(3). 492–510. 12 indexed citations

Dressano, Keini, et al.. (2018). Evaluation of Root pH Change Through Gel Containing pH-sensitive Indicator Bromocresol Purple. BIO-PROTOCOL. 8(7). e2796–e2796. 1 indexed citations

Dressano, Keini, Paulo H. O. Ceciliato, Juan Carlos Guerrero‐Abad, et al.. (2017). BAK1 is involved in AtRALF1-induced inhibition of root cell expansion. PLoS Genetics. 13(10). e1007053–e1007053. 45 indexed citations

Dressano, Keini, Paulo H. O. Ceciliato, Juan Carlos Guerrero‐Abad, et al.. (2017). Arabidopsis thaliana rapid alkalinization factor 1–mediated root growth inhibition is dependent on calmodulin-like protein 38. Journal of Biological Chemistry. 293(6). 2159–2171. 41 indexed citations

Ortiz‐Morea, Fausto Andres, Daniel V. Savatin, Wim Dejonghe, et al.. (2016). Danger-associated peptide signaling in Arabidopsis requires clathrin. Proceedings of the National Academy of Sciences. 113(39). 11028–11033. 96 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.

Explore authors with similar magnitude of impact