Mark Baillet
Impact in
- Oncology top 5%
- Pancreatic and Hepatic Oncology Research
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
Papers in
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- Platelet Disorders and Treatments 1
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- Protease and Inhibitor Mechanisms 2
- Breast Cancer Treatment Studies 1
- Co-authors
- Peter de Nully Brown (3 shared papers)Simon R. Bramhall (2 shared papers)John J. Nemunaitis (1 shared paper)J Schulz (1 shared paper)JOHN A. C. BUCKELS (1 shared paper)J W L Fielding (1 shared paper)Gillian M. Tierney (1 shared paper)Peter G. McCulloch (1 shared paper)
- Journals
- British Journal of Cancer (3 papers)The Lancet (1 paper)European Heart Journal (1 paper)Nature Medicine (1 paper)Journal of Neuro-Oncology (1 paper)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
Mark Baillet
9 papers receiving 1.3k citations
Mark Baillet's Hit Papers
Peers
Comparison fields: 5 of 76
- Oncology 403
- Cancer Research 211
- Infectious Diseases 220
- Modeling and Simulation 50
- Genetics 62
Countries citing papers authored by Mark Baillet
This map shows the geographic impact of Mark Baillet'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 Mark Baillet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Baillet more than expected).
Fields of papers citing papers by Mark Baillet
This network shows the impact of papers produced by Mark Baillet. 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 Mark Baillet. The network helps show where Mark Baillet may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Baillet, 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 | 2002 | 464 | |
| 2 | Safety, tolerability and viral kinetics during SARS-CoV-2 human challenge in young adults Hit paper breakdown → | 2022 | 361 |
| 3 | 2002 | 215 | |
| 4 | 2014 | 114 | |
| 5 | 2006 | 104 | |
| 6 | 1999 | 57 | |
| 7 | 1996 | 10 | |
| 8 | 1984 | 6 | |
| 9 | 2014 | 1 |
About Mark Baillet
Mark Baillet is a scholar working on Hematology, Cancer Research, Physiology, Genetics and Infectious Diseases, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (2 papers), Asthma and respiratory diseases (2 papers), Cardiac Valve Diseases and Treatments (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Breast Cancer Treatment Studies (1 paper), Glioma Diagnosis and Treatment (1 paper), Platelet Disorders and Treatments (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). The work is most often cited by research in Oncology (403 citations), Cancer Research (211 citations), Infectious Diseases (220 citations), Modeling and Simulation (50 citations) and Genetics (62 citations). Mark Baillet has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Peter de Nully Brown, Simon R. Bramhall, John J. Nemunaitis, J Schulz, JOHN A. C. BUCKELS, J W L Fielding, Gillian M. Tierney, Peter G. McCulloch, Tim Maughan and M T Hallissey. Their work appears in journals such as British Journal of Cancer, The Lancet, European Heart Journal, Nature Medicine and Journal of Neuro-Oncology.
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.