Aurélien Macé
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Biophysics top 10%
- Electromagnetic Fields and Biological Effects
Papers in
-
- SARS-CoV-2 detection and testing 7
- Tuberculosis Research and Epidemiology 6
- SARS-CoV-2 and COVID-19 Research 3
-
- Biosensors and Analytical Detection 3
- Co-authors
- Claudia M. Denkinger (11 shared papers)Stefano Ongarello (9 shared papers)Zoltán Kutalik (3 shared papers)Armand Valsesia (2 shared papers)Jilian A. Sacks (7 shared papers)Stephan Katzenschlager (5 shared papers)Mary Gaeddert (4 shared papers)Maurizio Grilli (5 shared papers)
- Journals
- PLoS Medicine (4 papers)BMJ Global Health (2 papers)The Journal of Laryngology & Otology (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)Infection (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Aurélien Macé
23 papers receiving 724 citations
Peers
Comparison fields: 5 of 85
- Infectious Diseases 422
- Biophysics 43
- Modeling and Simulation 25
- Endocrine and Autonomic Systems 31
- Epidemiology 146
Countries citing papers authored by Aurélien Macé
This map shows the geographic impact of Aurélien Macé'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 Aurélien Macé with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aurélien Macé more than expected).
Fields of papers citing papers by Aurélien Macé
This network shows the impact of papers produced by Aurélien Macé. 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 Aurélien Macé. The network helps show where Aurélien Macé may publish in the future.
Co-authors
The 25 scholars most cited alongside Aurélien Macé, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 176 | |
| 2 | 2019 | 130 | |
| 3 | 2019 | 55 | |
| 4 | 1998 | 48 | |
| 5 | 2020 | 45 | |
| 6 | 2013 | 44 | |
| 7 | 2022 | 40 | |
| 8 | 2013 | 37 | |
| 9 | 2019 | 37 | |
| 10 | 2018 | 29 | |
| 11 | 2016 | 17 | |
| 12 | 2023 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2008 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2009 | 6 | |
| 20 | 2018 | 3 |
About Aurélien Macé
Aurélien Macé is a scholar working on Infectious Diseases, Biomedical Engineering, Surgery, Epidemiology and Genetics, having authored 23 papers that have together received 735 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (7 papers), Tuberculosis Research and Epidemiology (6 papers), Biosensors and Analytical Detection (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Infectious Diseases (422 citations), Biophysics (43 citations), Modeling and Simulation (25 citations), Endocrine and Autonomic Systems (31 citations) and Epidemiology (146 citations). Aurélien Macé has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Claudia M. Denkinger, Stefano Ongarello, Zoltán Kutalik, Armand Valsesia, Jilian A. Sacks, Stephan Katzenschlager, Mary Gaeddert, Maurizio Grilli, Stephani Schmitz and Christian Erdmann. Their work appears in journals such as PLoS Medicine, BMJ Global Health, The Journal of Laryngology & Otology, Diagnostic Microbiology and Infectious Disease and Infection.
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.