Christine Loreth
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 4
- SARS-CoV-2 detection and testing 4
- Viral gastroenteritis research and epidemiology 2
-
- Cancer Genomics and Diagnostics 2
- Co-authors
- Wenyan Zhong (4 shared papers)Marc Isaac Damelin (3 shared papers)Andreas Giannakou (2 shared papers)Jonathon Golas (2 shared papers)Kenneth G. Geles (2 shared papers)Latha Sridharan (1 shared paper)Ting-Ting Yamin (1 shared paper)Sarah Mead Wyman (1 shared paper)
- Journals
- Nature Microbiology (1 paper)Oncotarget (1 paper)Science (1 paper)Microbial Genomics (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Christine Loreth
13 papers receiving 572 citations
Peers
Comparison fields: 5 of 84
- Modeling and Simulation 126
- Infectious Diseases 274
- Epidemiology 106
- Oncology 64
- Health 17
Countries citing papers authored by Christine Loreth
This map shows the geographic impact of Christine Loreth'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 Christine Loreth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christine Loreth more than expected).
Fields of papers citing papers by Christine Loreth
This network shows the impact of papers produced by Christine Loreth. 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 Christine Loreth. The network helps show where Christine Loreth may publish in the future.
Co-authors
The 25 scholars most cited alongside Christine Loreth, 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 | 2020 | 197 | |
| 2 | 2022 | 123 | |
| 3 | 2023 | 56 | |
| 4 | 2018 | 54 | |
| 5 | 2015 | 37 | |
| 6 | 2021 | 34 | |
| 7 | 2022 | 21 | |
| 8 | 2020 | 20 | |
| 9 | 2023 | 18 | |
| 10 | 2015 | 10 | |
| 11 | 2016 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 3 |
About Christine Loreth
Christine Loreth is a scholar working on Infectious Diseases, Cancer Research, Oncology, Modeling and Simulation and Information Systems and Management, having authored 13 papers that have together received 591 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), SARS-CoV-2 detection and testing (4 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), CRISPR and Genetic Engineering (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Modeling and Simulation (126 citations), Infectious Diseases (274 citations), Epidemiology (106 citations), Oncology (64 citations) and Health (17 citations). Christine Loreth has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Wenyan Zhong, Marc Isaac Damelin, Andreas Giannakou, Jonathon Golas, Kenneth G. Geles, Latha Sridharan, Ting-Ting Yamin, Sarah Mead Wyman, Maximillian T. Follettie and Timothy C. Nichols. Their work appears in journals such as Nature Microbiology, Oncotarget, Science, Microbial Genomics and Cancer 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.