Marc Bota
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- SARS-CoV-2 detection and testing 2
- COVID-19 Clinical Research Studies 1
- Oncology 3
- Colorectal Cancer Screening and Detection 2
- COVID-19 and healthcare impacts 1
- Co-authors
- Mary Gaeddert (2 shared papers)Stefano Ongarello (2 shared papers)Maurizio Grilli (2 shared papers)Sergio Carmona (2 shared papers)Stephan Katzenschlager (2 shared papers)Jan Larmann (2 shared papers)Jilian A. Sacks (2 shared papers)Stephani Schmitz (2 shared papers)
- Journals
- PLoS Medicine (2 papers)World Journal of Gastroenterology (1 paper)Gastrointestinal Endoscopy (1 paper)Viruses (1 paper)Current Opinion in Gastroenterology (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Marc Bota
6 papers receiving 258 citations
Peers
Comparison fields: 5 of 36
- Infectious Diseases 188
- Modeling and Simulation 23
- Gastroenterology 21
- Biomedical Engineering 70
- Health Informatics 2
Countries citing papers authored by Marc Bota
This map shows the geographic impact of Marc Bota'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 Marc Bota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Bota more than expected).
Fields of papers citing papers by Marc Bota
This network shows the impact of papers produced by Marc Bota. 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 Marc Bota. The network helps show where Marc Bota may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Bota, 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 | 2021 | 176 | |
| 2 | 2022 | 40 | |
| 3 | 2018 | 30 | |
| 4 | 2021 | 6 | |
| 5 | 2014 | 5 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 0 |
About Marc Bota
Marc Bota is a scholar working on Infectious Diseases, Oncology, Surgery, Internal Medicine and Gastroenterology, having authored 7 papers that have together received 260 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (2 papers), Colorectal Cancer Screening and Detection (2 papers), COVID-19 Clinical Research Studies (1 paper), Venous Thromboembolism Diagnosis and Management (1 paper), Gastrointestinal disorders and treatments (1 paper), COVID-19 and healthcare impacts (1 paper), Gastrointestinal Bleeding Diagnosis and Treatment (1 paper) and Esophageal and GI Pathology (1 paper). The work is most often cited by research in Infectious Diseases (188 citations), Modeling and Simulation (23 citations), Gastroenterology (21 citations), Biomedical Engineering (70 citations) and Health Informatics (2 citations). Marc Bota has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Mary Gaeddert, Stefano Ongarello, Maurizio Grilli, Sergio Carmona, Stephan Katzenschlager, Jan Larmann, Jilian A. Sacks, Stephani Schmitz, Christian Erdmann and Markus Weigand. Their work appears in journals such as PLoS Medicine, World Journal of Gastroenterology, Gastrointestinal Endoscopy, Viruses and Current Opinion in Gastroenterology.
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.