Scott Emrich
Impact in
- Insect Science top 1%
- Insect symbiosis and bacterial influences
- Genetics top 2%
- Genetic diversity and population structure
Papers in
-
- Genomics and Phylogenetic Studies 48
- RNA and protein synthesis mechanisms 19
- Gene expression and cancer classification 14
- Bioinformatics and Genomic Networks 14
- Machine Learning in Bioinformatics 11
- Genetics 23
- Co-authors
- Patrick S. Schnable (12 shared papers)W. Brad Barbazuk (4 shared papers)Shawn T. O’Neil (5 shared papers)Li Li (1 shared paper)Daniel Lawson (5 shared papers)Robert M. MacCallum (3 shared papers)Pantelis Topalis (2 shared papers)Emmanuel Dialynas (2 shared papers)
- Journals
- BMC Genomics (8 papers)Scientific Reports (4 papers)PLoS ONE (4 papers)Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (3 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Scott Emrich
115 papers receiving 3.9k citations
Scott Emrich's Hit Papers
Peers
Comparison fields: 5 of 137
- Insect Science 469
- Genetics 875
- Public Health, Environmental and Occupational Health 773
- Molecular Biology 1.8k
- Plant Science 875
Countries citing papers authored by Scott Emrich
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
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-authors
The 25 scholars most cited alongside Scott Emrich, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Extensive introgression in a malaria vector species complex revealed by phylogenomics Hit paper breakdown → | 2014 | 436 |
| 2 | VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases Hit paper breakdown → | 2014 | 434 |
| 3 | A molecular mechanism of artemisinin resistance in Plasmodium falciparum malaria Hit paper breakdown → | 2015 | 434 |
| 4 | 2007 | 332 | |
| 5 | 2006 | 294 | |
| 6 | 2011 | 127 | |
| 7 | 2007 | 117 | |
| 8 | 2015 | 108 | |
| 9 | 2010 | 107 | |
| 10 | 2013 | 101 | |
| 11 | 2017 | 81 | |
| 12 | 2018 | 58 | |
| 13 | 2009 | 57 | |
| 14 | 2005 | 56 | |
| 15 | 2006 | 55 | |
| 16 | 2021 | 49 | |
| 17 | 2002 | 47 | |
| 18 | 2017 | 45 | |
| 19 | 2004 | 42 | |
| 20 | 2003 | 41 |
About Scott Emrich
Scott Emrich is a scholar working on Molecular Biology, Genetics, Plant Science, Computer Networks and Communications and Information Systems and Management, having authored 117 papers that have together received 4.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (48 papers), RNA and protein synthesis mechanisms (19 papers), Gene expression and cancer classification (14 papers), Bioinformatics and Genomic Networks (14 papers), Scientific Computing and Data Management (13 papers), Chromosomal and Genetic Variations (13 papers), Distributed and Parallel Computing Systems (12 papers) and Machine Learning in Bioinformatics (11 papers). The work is most often cited by research in Insect Science (469 citations), Genetics (875 citations), Public Health, Environmental and Occupational Health (773 citations), Molecular Biology (1.8k citations) and Plant Science (875 citations). Scott Emrich has collaborated with scholars based in United States, United Kingdom and France. Frequent 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. Their work appears in journals such as BMC Genomics, Scientific Reports, PLoS ONE, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.