Scarlet S. Shell
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Genetics top 10%
- Bacterial Genetics and Biotechnology
Papers in
-
- Tuberculosis Research and Epidemiology 15
- Genetics 10
- Bacterial Genetics and Biotechnology 10
- Co-authors
- Richard David Kolodner (4 shared papers)Christopher D. Putnam (2 shared papers)Sarah M. Fortune (8 shared papers)María Carla Martini (8 shared papers)Peter C. Dedon (2 shared papers)Erin G. Prestwich (2 shared papers)Christopher M. Sassetti (2 shared papers)Rupal Shah-Rohlfs (1 shared paper)
- Journals
- Frontiers in Microbiology (3 papers)PLoS Pathogens (3 papers)Journal of Ethnopharmacology (2 papers)mBio (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesSwedenIsrael
In The Last Decade
Scarlet S. Shell
27 papers receiving 1k citations
Peers
Comparison fields: 5 of 69
- Infectious Diseases 304
- Genetics 236
- Molecular Biology 512
- Pathology and Forensic Medicine 76
- Molecular Medicine 12
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 | 183 | |
| 2 | 2004 | 139 | |
| 3 | 2013 | 133 | |
| 4 | 2007 | 102 | |
| 5 | 2020 | 62 | |
| 6 | 2019 | 51 | |
| 7 | 2020 | 50 | |
| 8 | 2010 | 49 | |
| 9 | 2015 | 42 | |
| 10 | 2007 | 34 | |
| 11 | 2022 | 31 | |
| 12 | 2019 | 22 | |
| 13 | 2018 | 20 | |
| 14 | 2020 | 18 | |
| 15 | 2023 | 17 | |
| 16 | 2023 | 14 | |
| 17 | 2015 | 10 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2023 | 6 |
About Scarlet S. Shell
Scarlet S. Shell is a scholar working on Infectious Diseases, Genetics, Molecular Biology, Epidemiology and Cancer Research, having authored 29 papers that have together received 1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Bacterial Genetics and Biotechnology (10 papers), RNA and protein synthesis mechanisms (6 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (2 papers), Mycobacterium research and diagnosis (2 papers), Genomics and Phylogenetic Studies (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Infectious Diseases (304 citations), Genetics (236 citations), Molecular Biology (512 citations), Pathology and Forensic Medicine (76 citations) and Molecular Medicine (12 citations). Scarlet S. Shell has collaborated with scholars based in United States, Sweden and Israel. Frequent co-authors include Richard David Kolodner, Christopher D. Putnam, Sarah M. Fortune, María Carla Martini, Peter C. Dedon, Erin G. Prestwich, Christopher M. Sassetti, Rupal Shah-Rohlfs, Ying Zhou and Seung-Hun Baek. Their work appears in journals such as Frontiers in Microbiology, PLoS Pathogens, Journal of Ethnopharmacology, mBio and Journal of Biological Chemistry.
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.