Marc Baay
Impact in
- Epidemiology top 2%
- Cervical Cancer and HPV Research
- Hepatitis B Virus Studies
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Treatments and Studies
Papers in
- Epidemiology 43
- Cervical Cancer and HPV Research 36
- Hepatitis B Virus Studies 7
- Pneumonia and Respiratory Infections 6
- Oncology 17
- Co-authors
- Filip Lardon (35 shared papers)Jan B. Vermorken (34 shared papers)Vanessa Deschoolmeester (16 shared papers)Marc Peeters (17 shared papers)Joost Weyler (10 shared papers)Pol Specenier (7 shared papers)Patrick Pauwels (10 shared papers)Paul Herbrink (7 shared papers)
- Journals
- Biologicals (7 papers)European Journal of Clinical Microbiology & Infectious Diseases (4 papers)BMC Cancer (3 papers)Vaccine (3 papers)Journal of Clinical Microbiology (2 papers)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Marc Baay
88 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 121
- Epidemiology 976
- Oncology 729
- Otorhinolaryngology 91
- Microbiology 136
- Cancer Research 228
Countries citing papers authored by Marc Baay
This map shows the geographic impact of Marc Baay'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 Baay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Baay more than expected).
Fields of papers citing papers by Marc Baay
This network shows the impact of papers produced by Marc Baay. 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 Baay. The network helps show where Marc Baay may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Baay, 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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 219 | |
| 2 | 2010 | 180 | |
| 3 | 2010 | 140 | |
| 4 | 2003 | 123 | |
| 5 | 2012 | 115 | |
| 6 | 2011 | 104 | |
| 7 | 2010 | 101 | |
| 8 | 2011 | 83 | |
| 9 | 2013 | 82 | |
| 10 | 2001 | 77 | |
| 11 | 2004 | 75 | |
| 12 | 1990 | 64 | |
| 13 | 2014 | 53 | |
| 14 | 2017 | 52 | |
| 15 | 2015 | 49 | |
| 16 | 2019 | 44 | |
| 17 | 2014 | 43 | |
| 18 | 2010 | 40 | |
| 19 | 2022 | 37 | |
| 20 | 2008 | 37 |
About Marc Baay
Marc Baay is a scholar working on Epidemiology, Oncology, Molecular Biology, Infectious Diseases and Surgery, having authored 89 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (36 papers), Molecular Biology Techniques and Applications (8 papers), Hepatitis B Virus Studies (7 papers), Genital Health and Disease (7 papers), Pneumonia and Respiratory Infections (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Vaccine Coverage and Hesitancy (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Epidemiology (976 citations), Oncology (729 citations), Otorhinolaryngology (91 citations), Microbiology (136 citations) and Cancer Research (228 citations). Marc Baay has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Filip Lardon, Jan B. Vermorken, Vanessa Deschoolmeester, Marc Peeters, Joost Weyler, Pol Specenier, Patrick Pauwels, Paul Herbrink, Eric Van Marck and E Stolz. Their work appears in journals such as Biologicals, European Journal of Clinical Microbiology & Infectious Diseases, BMC Cancer, Vaccine and Journal of Clinical Microbiology.
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.