Scott Schaeffer

2.5k total citations
10 papers, 296 citations indexed

About

Scott Schaeffer is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Scott Schaeffer has authored 10 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Plant Science and 2 papers in Insect Science. Recurrent topics in Scott Schaeffer's work include Photosynthetic Processes and Mechanisms (3 papers), Plant Gene Expression Analysis (2 papers) and CRISPR and Genetic Engineering (2 papers). Scott Schaeffer is often cited by papers focused on Photosynthetic Processes and Mechanisms (3 papers), Plant Gene Expression Analysis (2 papers) and CRISPR and Genetic Engineering (2 papers). Scott Schaeffer collaborates with scholars based in United States, Australia and Denmark. Scott Schaeffer's co-authors include Paul A. Nakata, M. Krech, Mary Ann Fieldes, Jason C. L. Brown, Amit Dhingra, Tyson Koepke, Luying Xun, Sara M. Belchik, Derick Jiwan and Nnadozie Oraguzie and has published in prestigious journals such as PLoS ONE, Theoretical and Applied Genetics and BMC Genomics.

In The Last Decade

Scott Schaeffer

10 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott Schaeffer United States	8	200	195	35	30	16	10	296
Kenji Yokota Japan	8	116 0.6×	145 0.7×	21 0.6×	15 0.5×	17 1.1×	25	276
M. F. P. S. Machado Brazil	13	131 0.7×	203 1.0×	90 2.6×	43 1.4×	5 0.3×	37	357
Marta dos Santos Freire Ricci Brazil	10	144 0.7×	181 0.9×	10 0.3×	14 0.5×	10 0.6×	25	329
Fengqin Song China	7	141 0.7×	123 0.6×	34 1.0×	183 6.1×	5 0.3×	11	329
Peiguo Yuan United States	14	217 1.1×	606 3.1×	10 0.3×	34 1.1×	6 0.4×	22	656
Luiz Alfredo Rodrigues Pereira Brazil	9	105 0.5×	224 1.1×	11 0.3×	14 0.5×	5 0.3×	21	298
Wentao Wu China	6	218 1.1×	253 1.3×	13 0.4×	23 0.8×	4 0.3×	15	348
Heba Abdelgaffar United States	9	246 1.2×	110 0.6×	18 0.5×	189 6.3×	6 0.4×	12	290
Kasey Markel United States	8	239 1.2×	167 0.9×	23 0.7×	18 0.6×	4 0.3×	14	309

Countries citing papers authored by Scott Schaeffer

Since Specialization

Citations

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

Fields of papers citing papers by Scott Schaeffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Schaeffer

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

All Works

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10 of 10 papers shown

Schaeffer, Scott, et al.. (2017). Comparative ultrastructure of fruit plastids in three genetically diverse genotypes of apple (Malus × domestica Borkh.) during development. Plant Cell Reports. 36(10). 1627–1640. 14 indexed citations

Schaeffer, Scott & Paul A. Nakata. (2016). The expanding footprint of CRISPR/Cas9 in the plant sciences. Plant Cell Reports. 35(7). 1451–1468. 29 indexed citations

Schaeffer, Scott, et al.. (2016). Identification of Differentially Expressed Genes between “Honeycrisp” and “Golden Delicious” Apple Fruit Tissues Reveal Candidates for Crop Improvement. Horticulturae. 2(3). 11–11. 4 indexed citations

Schaeffer, Scott & Paul A. Nakata. (2015). CRISPR/Cas9-mediated genome editing and gene replacement in plants: Transitioning from lab to field. Plant Science. 240. 130–142. 105 indexed citations

Schaeffer, Scott, et al.. (2014). Comparative Analysis of Predicted Plastid-Targeted Proteomes of Sequenced Higher Plant Genomes. PLoS ONE. 9(11). e112870–e112870. 6 indexed citations

Koepke, Tyson, Scott Schaeffer, F. Dicenta, et al.. (2013). Comparative genomics analysis in Prunoideae to identify biologically relevant polymorphisms. Plant Biotechnology Journal. 11(7). 883–893. 14 indexed citations

Koepke, Tyson, Scott Schaeffer, Vandhana Krishnan, et al.. (2012). Rapid gene-based SNP and haplotype marker development in non-model eukaryotes using 3'UTR sequencing. BMC Genomics. 13(1). 18–18. 23 indexed citations

Garczynski, Stephen F., Brad S. Coates, Thomas R. Unruh, et al.. (2012). Application of Cydia pomonella expressed sequence tags: Identification and expression of three general odorant binding proteins in codling moth. Insect Science. 20(5). 559–574. 17 indexed citations

Belchik, Sara M., et al.. (2009). A β-barrel outer membrane protein facilitates cellular uptake of polychlorophenols in Cupriavidus necator. Biodegradation. 21(3). 431–439. 19 indexed citations

10.

Fieldes, Mary Ann, Scott Schaeffer, M. Krech, & Jason C. L. Brown. (2005). DNA hypomethylation in 5-azacytidine-induced early-flowering lines of flax. Theoretical and Applied Genetics. 111(1). 136–149. 65 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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