Scott Emrich

12.7k total citations · 3 hit papers
113 papers, 3.7k citations indexed

About

Scott Emrich is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Scott Emrich has authored 113 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Molecular Biology, 28 papers in Genetics and 22 papers in Plant Science. Recurrent topics in Scott Emrich's work include Genomics and Phylogenetic Studies (51 papers), RNA and protein synthesis mechanisms (21 papers) and Chromosomal and Genetic Variations (15 papers). Scott Emrich is often cited by papers focused on Genomics and Phylogenetic Studies (51 papers), RNA and protein synthesis mechanisms (21 papers) and Chromosomal and Genetic Variations (15 papers). Scott Emrich collaborates with scholars based in United States, United Kingdom and France. Scott Emrich's co-authors include Patrick S. Schnable, W. Brad Barbazuk, Shawn T. O’Neil, Li Li, Daniel Lawson, Robert M. MacCallum, Pantelis Topalis, Emmanuel Dialynas, Frank H. Collins and Gloria I. Giraldo-Calderón and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Scott Emrich

111 papers receiving 3.6k citations

Hit Papers

Extensive introgression in a malaria vector species compl... 2014 2026 2018 2022 2014 2014 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Emrich United States 27 2.0k 906 906 784 540 113 3.7k
Nicola Buso United Kingdom 5 3.1k 1.6× 944 1.0× 594 0.7× 226 0.3× 243 0.5× 5 5.2k
François Chevenet France 14 2.7k 1.4× 1.4k 1.6× 502 0.6× 235 0.3× 416 0.8× 24 5.4k
Adrian R. Tivey United Kingdom 7 3.2k 1.6× 1.0k 1.1× 628 0.7× 246 0.3× 233 0.4× 7 5.5k
Fábio Madeira United Kingdom 9 3.2k 1.7× 916 1.0× 600 0.7× 206 0.3× 219 0.4× 14 5.4k
Nandana Madhusoodanan United Kingdom 5 3.0k 1.5× 898 1.0× 583 0.6× 204 0.3× 214 0.4× 5 5.0k
Christos Louis Greece 38 2.3k 1.2× 758 0.8× 605 0.7× 1.7k 2.1× 1.1k 2.0× 106 4.3k
Bernhard Haubold Germany 24 1.7k 0.9× 1.7k 1.8× 1.1k 1.2× 701 0.9× 127 0.2× 52 4.0k
Jaap Heringa Netherlands 12 4.3k 2.2× 950 1.0× 837 0.9× 195 0.2× 152 0.3× 29 6.1k
Mark Cavanaugh United States 12 2.4k 1.2× 823 0.9× 593 0.7× 163 0.2× 261 0.5× 12 4.4k
Tamer Gür United Kingdom 5 2.3k 1.2× 743 0.8× 419 0.5× 158 0.2× 188 0.3× 6 3.9k

Countries citing papers authored by Scott Emrich

Since Specialization
Citations

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

Fields of papers citing papers by Scott Emrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Emrich

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Emrich. A scholar is included among the top collaborators of Scott Emrich 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 Emrich. Scott Emrich 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.
Small, Scott T., Carlo Costantini, N’Falé Sagnon, et al.. (2023). Standing genetic variation and chromosome differences drove rapid ecotype formation in a major malaria mosquito. Proceedings of the National Academy of Sciences. 120(11). e2219835120–e2219835120. 9 indexed citations
2.
Carrell, Alyssa A., Eric R. Johnston, Jonathan Cumming, et al.. (2022). Chronic Drought Differentially Alters the Belowground Microbiome of Drought-Tolerant and Drought-Susceptible Genotypes of Populus trichocarpa. Phytobiomes Journal. 6(4). 317–330. 14 indexed citations
3.
Button-Simons, Katrina A., Sudhir Kumar, Catherine Jett, et al.. (2021). The power and promise of genetic mapping from Plasmodium falciparum crosses utilizing human liver-chimeric mice. Communications Biology. 4(1). 734–734. 8 indexed citations
4.
Ramalho-Ortigão, Marcelo, Iliano V. Coutinho-Abreu, Rami Mukbel, et al.. (2020). Phlebotomus papatasi sand fly predicted salivary protein diversity and immune response potential based on in silico prediction in Egypt and Jordan populations. PLoS neglected tropical diseases. 14(7). e0007489–e0007489. 2 indexed citations
5.
Emrich, Scott, et al.. (2020). Detecting inversions with PCA in the presence of population structure. PLoS ONE. 15(10). e0240429–e0240429. 10 indexed citations
6.
Li, Xue, Sudhir Kumar, Marina McDew‐White, et al.. (2019). Genetic mapping of fitness determinants across the malaria parasite Plasmodium falciparum life cycle. PLoS Genetics. 15(10). e1008453–e1008453. 29 indexed citations
7.
Rund, Samuel S. C., Lauren J. Cator, Kyle Copas, et al.. (2019). MIReAD, a minimum information standard for reporting arthropod abundance data. Scientific Data. 6(1). 40–40. 23 indexed citations
8.
Choudhury, Olivia, Ankush Chakrabarty, & Scott Emrich. (2018). HECIL: A Hybrid Error Correction Algorithm for Long Reads with Iterative Learning. Scientific Reports. 8(1). 9936–9936. 8 indexed citations
9.
Faisal, Fazle E., Julie L. Chaney, Jun Li, et al.. (2018). GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison. 3 indexed citations
10.
Bergey, Christina M., Jonathan Kayondo, Josephine Birungi, et al.. (2018). Reduced-representation sequencing identifies small effective population sizes of Anopheles gambiae in the north-western Lake Victoria basin, Uganda. Malaria Journal. 17(1). 285–285. 6 indexed citations
11.
Faisal, Fazle E., Julie L. Chaney, Jun Li, et al.. (2017). GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison. Scientific Reports. 7(1). 14890–14890. 19 indexed citations
12.
Chaney, Julie L., Aaron Steele, Anabel Rodríguez, et al.. (2017). Widespread position-specific conservation of synonymous rare codons within coding sequences. PLoS Computational Biology. 13(5). e1005531–e1005531. 78 indexed citations
13.
Behura, Susanta K., Ping Li, Keshava Mysore, et al.. (2016). High-throughput cis-regulatory element discovery in the vector mosquito Aedes aegypti. BMC Genomics. 17(1). 341–341. 17 indexed citations
14.
Warren, Andrew, Cristina Aurrecoechea, Brian P. Brunk, et al.. (2015). RNA-Rocket: an RNA-Seq analysis resource for infectious disease research. Bioinformatics. 31(9). 1496–1498. 9 indexed citations
15.
Egan, Scott P., Gregory J. Ragland, Thomas H. Q. Powell, et al.. (2015). Experimental evidence of genome‐wide impact of ecological selection during early stages of speciation‐with‐gene‐flow. Ecology Letters. 18(8). 817–825. 97 indexed citations
16.
Geng, Peng, Wenli Li, Joachim R. de Miranda, et al.. (2014). Genetic Characterization of a Novel Iflavirus Associated with Vomiting Disease in the Chinese Oak Silkmoth Antheraea pernyi. PLoS ONE. 9(3). e92107–e92107. 25 indexed citations
17.
Zhang, Wei, Erliang Zeng, Dan Liu, Stuart E. Jones, & Scott Emrich. (2014). Mapping genomic features to functional traits through microbial whole genome sequences. International Journal of Bioinformatics Research and Applications. 10(4/5). 461–461. 6 indexed citations
18.
Thrasher, Andrew, et al.. (2014). Scaling up genome annotation using MAKER and work queue. International Journal of Bioinformatics Research and Applications. 10(4/5). 447–447. 8 indexed citations
19.
Emrich, Scott, W. Brad Barbazuk, Li Li, & Patrick S. Schnable. (2006). Gene discovery and annotation using LCM-454 transcriptome sequencing. Genome Research. 17(1). 69–73. 278 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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