Joshua Sailsbery

494 total citations
8 papers, 303 citations indexed

About

Joshua Sailsbery is a scholar working on Molecular Biology, Plant Science and Endocrinology. According to data from OpenAlex, Joshua Sailsbery has authored 8 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 3 papers in Endocrinology. Recurrent topics in Joshua Sailsbery's work include Plant and Fungal Interactions Research (3 papers), Plant Disease Resistance and Genetics (3 papers) and Genomics and Phylogenetic Studies (3 papers). Joshua Sailsbery is often cited by papers focused on Plant and Fungal Interactions Research (3 papers), Plant Disease Resistance and Genetics (3 papers) and Genomics and Phylogenetic Studies (3 papers). Joshua Sailsbery collaborates with scholars based in United States, China and India. Joshua Sailsbery's co-authors include Ralph A. Dean, Ryan Christensen, David A. McClellan, Matthew J. Smith, Cristiano Caixeta Nunes, Thomas K. Mitchell, Yeonyee Oh, Douglas Brown, Minfeng Xue and Feng Chen and has published in prestigious journals such as Nucleic Acids Research, Molecular Biology and Evolution and Journal of Theoretical Biology.

In The Last Decade

Joshua Sailsbery

8 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joshua Sailsbery United States	7	163	152	55	54	46	8	303
Gemy Kaithakottil United Kingdom	7	165 1.0×	174 1.1×	52 0.9×	22 0.4×	30 0.7×	11	334
Rujira Achawanantakun United States	5	251 1.5×	153 1.0×	66 1.2×	19 0.4×	25 0.5×	5	370
Norio Kobayashi Japan	10	353 2.2×	460 3.0×	63 1.1×	24 0.4×	52 1.1×	16	638
Cera R. Fisher United States	6	91 0.6×	73 0.5×	52 0.9×	13 0.2×	43 0.9×	8	213
Tyler J. Simmonds United States	7	126 0.8×	118 0.8×	68 1.2×	15 0.3×	23 0.5×	13	279
Michael Paulini United Kingdom	4	165 1.0×	104 0.7×	56 1.0×	7 0.1×	37 0.8×	5	242
Engkong Tan Japan	10	85 0.5×	50 0.3×	44 0.8×	35 0.6×	108 2.3×	27	296
Jack C. Vaughn United States	15	420 2.6×	105 0.7×	75 1.4×	8 0.1×	60 1.3×	29	525
S. Lorena Ament‐Velásquez Sweden	11	159 1.0×	165 1.1×	72 1.3×	9 0.2×	40 0.9×	22	299
Thais B. Rodrigues United States	11	461 2.8×	175 1.2×	49 0.9×	20 0.4×	114 2.5×	14	580

Countries citing papers authored by Joshua Sailsbery

Since Specialization

Citations

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

Fields of papers citing papers by Joshua Sailsbery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joshua Sailsbery

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

All Works

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8 of 8 papers shown

Okagaki, Laura H., et al.. (2016). Comparative genome analysis and genome evolution of members of the magnaporthaceae family of fungi. BMC Genomics. 17(1). 135–135. 15 indexed citations

Sailsbery, Joshua & Ralph A. Dean. (2012). Accurate discrimination of bHLH domains in plants, animals, and fungi using biologically meaningful sites. BMC Evolutionary Biology. 12(1). 154–154. 15 indexed citations

Sailsbery, Joshua, William R. Atchley, & Ralph A. Dean. (2011). Phylogenetic Analysis and Classification of the Fungal bHLH Domain. Molecular Biology and Evolution. 29(5). 1301–1318. 30 indexed citations

Nunes, Cristiano Caixeta, Malali Gowda, Joshua Sailsbery, et al.. (2011). Diverse and tissue-enriched small RNAs in the plant pathogenic fungus, Magnaporthe oryzae. BMC Genomics. 12(1). 288–288. 88 indexed citations

Nunes, Cristiano Caixeta, Joshua Sailsbery, & Ralph A. Dean. (2011). Characterization and application of small RNAs and RNA silencing mechanisms in fungi. Fungal Biology Reviews. 25(4). 172–180. 14 indexed citations

Gowda, Malali, Cristiano Caixeta Nunes, Joshua Sailsbery, et al.. (2010). Genome-wide characterization of methylguanosine-capped and polyadenylated small RNAs in the rice blast fungus Magnaporthe oryzae. Nucleic Acids Research. 38(21). 7558–7569. 16 indexed citations

McClellan, David A., et al.. (2004). Physicochemical Evolution and Molecular Adaptation of the Cetacean and Artiodactyl Cytochrome b Proteins. Molecular Biology and Evolution. 22(3). 437–455. 120 indexed citations

McClellan, David A., et al.. (2003). Genetic codes as evolutionary filters: subtle differences in the structure of genetic codes result in significant differences in patterns of nucleotide substitution. Journal of Theoretical Biology. 226(4). 393–400. 5 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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