Madison Conte
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- SARS-CoV-2 detection and testing 4
- SARS-CoV-2 and COVID-19 Research 3
-
- COVID-19 epidemiological studies 2
- Co-authors
- Andrew S Pekosz (2 shared papers)Yukari Carol Manabe (3 shared papers)Matthew M. Hamill (1 shared paper)Momčilo M. Gavrilov (1 shared paper)Roger S. Zou (1 shared paper)Géraldine Seydoux (1 shared paper)Michael J. Murphy (1 shared paper)Nicholas Gallagher (1 shared paper)
- Journals
- The Journal of Infectious Diseases (2 papers)Nature Communications (1 paper)Open Forum Infectious Diseases (1 paper)Sexually Transmitted Diseases (1 paper)Communications Biology (1 paper)
- Partner nations
- United States
In The Last Decade
Madison Conte
6 papers receiving 289 citations
Peers
Comparison fields: 5 of 45
- Modeling and Simulation 73
- Infectious Diseases 235
- General Dentistry 5
- Radiology, Nuclear Medicine and Imaging 28
- Health 8
Countries citing papers authored by Madison Conte
This map shows the geographic impact of Madison Conte'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 Madison Conte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madison Conte more than expected).
Fields of papers citing papers by Madison Conte
This network shows the impact of papers produced by Madison Conte. 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 Madison Conte. The network helps show where Madison Conte may publish in the future.
Co-authors
The 23 scholars most cited alongside Madison Conte, 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 | 2022 | 126 | |
| 2 | 2021 | 101 | |
| 3 | 2022 | 38 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 5 | |
| 6 | 2022 | 3 | |
| 7 | 2024 | 0 |
About Madison Conte
Madison Conte is a scholar working on Infectious Diseases, Modeling and Simulation, Microbiology, Biomedical Engineering and Molecular Biology, having authored 7 papers that have together received 292 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 epidemiological studies (2 papers), CRISPR and Genetic Engineering (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Reproductive tract infections research (1 paper) and Biosensors and Analytical Detection (1 paper). The work is most often cited by research in Modeling and Simulation (73 citations), Infectious Diseases (235 citations), General Dentistry (5 citations), Radiology, Nuclear Medicine and Imaging (28 citations) and Health (8 citations). Madison Conte has collaborated with scholars based in United States. Frequent co-authors include Andrew S Pekosz, Yukari Carol Manabe, Matthew M. Hamill, Momčilo M. Gavrilov, Roger S. Zou, Géraldine Seydoux, Michael J. Murphy, Nicholas Gallagher, Ruifeng Zhou and Candelaria Vergara. Their work appears in journals such as The Journal of Infectious Diseases, Nature Communications, Open Forum Infectious Diseases, Sexually Transmitted Diseases and Communications Biology.
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.