Sarah M. Farris
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- Neurobiology and Insect Physiology Research 25
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- Plant and animal studies 13
- Animal Behavior and Reproduction 3
- Cephalopods and Marine Biology 2
- Genetics top 1%
- Insect and Arachnid Ecology and Behavior 23
- Insect Science top 1%
- Insect and Pesticide Research 4
- Aging top 10%
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- Plant and Biological Electrophysiology Studies 6
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- Physiological and biochemical adaptations 2
- Co-authors
- Susan E. FahrbachGene E. RobinsonNicholas J. StrausfeldSusanne SchulmeisterElizabeth A. CapaldiSheena M. BrownJeremy E. NivenRonald L. Davis
- Journals
- The Journal of Comparative Neurology (6 papers)Arthropod Structure & Development (5 papers)Current Opinion in Insect Science (2 papers)
- Partner nations
- United StatesUnited KingdomCzechia
In The Last Decade
Sarah M. Farris
33 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 100
- Cellular and Molecular Neuroscience 1.5k
- Ecology, Evolution, Behavior and Systematics 1.3k
- Genetics 1.5k
- Insect Science 638
- Aging 34
Countries citing papers authored by Sarah M. Farris
This map shows the geographic impact of Sarah M. Farris'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 Sarah M. Farris with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah M. Farris more than expected).
Fields of papers citing papers by Sarah M. Farris
This network shows the impact of papers produced by Sarah M. Farris. 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 Sarah M. Farris. The network helps show where Sarah M. Farris may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sarah M. Farris, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2020 | 12 | |
| 3 | 2016 | 48 | |
| 4 | 2015 | 28 | |
| 5 | 2012 | 71 | |
| 6 | 2011 | 70 | |
| 7 | 2011 | 9 | |
| 8 | 2010 | 121 | |
| 9 | 2009 | 172 | |
| 10 | 2008 | 52 | |
| 11 | 2008 | 32 | |
| 12 | 2008 | 38 | |
| 13 | 2004 | 51 | |
| 14 | 2003 | 65 | |
| 15 | 2003 | 49 | |
| 16 | 2001 | 55 | |
| 17 | 2000 | 249 | |
| 18 | 1999 | 126 | |
| 19 | 1997 | 47 | |
| 20 | 1996 | 29 |
About Sarah M. Farris
Sarah M. Farris is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 33 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (25 papers), Insect and Arachnid Ecology and Behavior (23 papers), Plant and animal studies (13 papers), Plant and Biological Electrophysiology Studies (6 papers), Insect and Pesticide Research (4 papers), Animal Behavior and Reproduction (3 papers), Physiological and biochemical adaptations (2 papers) and Cephalopods and Marine Biology (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Ecology, Evolution, Behavior and Systematics (1.3k citations) and Genetics (1.5k citations). Sarah M. Farris has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Susan E. Fahrbach, Gene E. Robinson, Nicholas J. Strausfeld, Susanne Schulmeister, Elizabeth A. Capaldi, Sheena M. Brown, Jeremy E. Niven, Ronald L. Davis, Darrell Moore and A. S. Edwards. Their work appears in journals such as The Journal of Comparative Neurology, Arthropod Structure & Development, Current Opinion in Insect Science, Developmental Neurobiology and Proceedings of the Royal Society B Biological Sciences.
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.