Meagan E. Sullender
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- John G. DoenchDavid E. RootMudra HegdeZuzana TóthováIan C. P. SmithKatherine DonovanEmma W VaimbergJennifer Listgarten
- Journals
- Nature Biotechnology (3 papers)Nature Communications (2 papers)Journal of Virology (2 papers)PLoS ONE (2 papers)PLoS Pathogens (1 paper)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Meagan E. Sullender
15 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Aging 264
- Business and International Management 198
- Molecular Biology 4.1k
- Genetics 670
- Immunology 386
Countries citing papers authored by Meagan E. Sullender
This map shows the geographic impact of Meagan E. Sullender'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 Meagan E. Sullender with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meagan E. Sullender more than expected).
Fields of papers citing papers by Meagan E. Sullender
This network shows the impact of papers produced by Meagan E. Sullender. 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 Meagan E. Sullender. The network helps show where Meagan E. Sullender may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Meagan E. Sullender, 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 | 2024 | 3 | |
| 2 | 2024 | 8 | |
| 3 | 2023 | 7 | |
| 4 | 2022 | 10 | |
| 5 | 2021 | 12 | |
| 6 | 2019 | 79 | |
| 7 | 2018 | 44 | |
| 8 | Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities Hit paper breakdown → | 2018 | 505 |
| 9 | 2018 | 19 | |
| 10 | 2017 | 39 | |
| 11 | 2017 | 76 | |
| 12 | 2017 | 182 | |
| 13 | Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9 Hit paper breakdown → | 2016 | 2646 |
| 14 | Rational design of highly active sgRNAs for CRISPR-Cas9–mediated gene inactivation Hit paper breakdown → | 2014 | 1157 |
| 15 | 2012 | 15 |
About Meagan E. Sullender
Meagan E. Sullender is a scholar working on Aging, Endocrinology, Infectious Diseases, Animal Science and Zoology and Parasitology, having authored 15 papers that have together received 4.8k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (7 papers), CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (4 papers), Viral Infections and Immunology Research (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Gene Regulatory Network Analysis (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Aging (264 citations), Business and International Management (198 citations), Molecular Biology (4.1k citations), Genetics (670 citations) and Immunology (386 citations). Meagan E. Sullender has collaborated with scholars based in United States, France and Australia. Frequent co-authors include John G. Doench, David E. Root, Mudra Hegde, Zuzana Tóthová, Ian C. P. Smith, Katherine Donovan, Emma W Vaimberg, Jennifer Listgarten, Nicolò Fusi and Robert C. Orchard. Their work appears in journals such as Nature Biotechnology, Nature Communications, Journal of Virology, PLoS ONE and PLoS Pathogens.
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.