Scarlet S. Shell
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
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- Genetic factors in colorectal cancer
Papers in
-
- RNA and protein synthesis mechanisms 15
- RNA Research and Splicing 4
- DNA Repair Mechanisms 1
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- Tuberculosis Research and Epidemiology 17
- Co-authors
- Richard D. Kolodner (4 shared papers)Christopher D. Putnam (2 shared papers)Sarah M. Fortune (8 shared papers)María Carla Martini (8 shared papers)Erin G. Prestwich (2 shared papers)Peter C. Dedon (2 shared papers)Rupal Shah (1 shared paper)Christopher M. Sassetti (2 shared papers)
- Journals
- Frontiers in Microbiology (3 papers)PLoS Pathogens (3 papers)mBio (2 papers)Pathogens (2 papers)Journal of Ethnopharmacology (2 papers)
- Partner nations
- United StatesSingaporeIsrael
In The Last Decade
Scarlet S. Shell
25 papers receiving 956 citations
Peers
Comparison fields: 5 of 74
- Infectious Diseases 282
- Pathology and Forensic Medicine 214
- Molecular Biology 649
- Molecular Medicine 41
- Epidemiology 252
Countries citing papers authored by Scarlet S. Shell
This map shows the geographic impact of Scarlet S. Shell'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 Scarlet S. Shell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scarlet S. Shell more than expected).
Fields of papers citing papers by Scarlet S. Shell
This network shows the impact of papers produced by Scarlet S. Shell. 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 Scarlet S. Shell. The network helps show where Scarlet S. Shell may publish in the future.
Co-authors
The 25 scholars most cited alongside Scarlet S. Shell, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 175 | |
| 2 | 2004 | 135 | |
| 3 | 2013 | 124 | |
| 4 | 2007 | 100 | |
| 5 | 2020 | 58 | |
| 6 | 2010 | 51 | |
| 7 | 2019 | 49 | |
| 8 | 2020 | 47 | |
| 9 | 2015 | 41 | |
| 10 | 2007 | 35 | |
| 11 | 2022 | 24 | |
| 12 | 2019 | 21 | |
| 13 | 2018 | 19 | |
| 14 | 2020 | 16 | |
| 15 | 2023 | 16 | |
| 16 | 2023 | 13 | |
| 17 | 2015 | 10 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 5 |
About Scarlet S. Shell
Scarlet S. Shell is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Genetics and Pathology and Forensic Medicine, having authored 29 papers that have together received 966 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (16 papers), RNA and protein synthesis mechanisms (15 papers), RNA Research and Splicing (4 papers), Genetic factors in colorectal cancer (3 papers), Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Infectious Diseases (282 citations), Pathology and Forensic Medicine (214 citations), Molecular Biology (649 citations), Molecular Medicine (41 citations) and Epidemiology (252 citations). Scarlet S. Shell has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Richard D. Kolodner, Christopher D. Putnam, Sarah M. Fortune, María Carla Martini, Erin G. Prestwich, Peter C. Dedon, Rupal Shah, Christopher M. Sassetti, Seung-Hun Baek and Ying Zhou. Their work appears in journals such as Frontiers in Microbiology, PLoS Pathogens, mBio, Pathogens and Journal of Ethnopharmacology.
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.