M. Fairhead
Impact in
-
- Computational Drug Discovery Methods
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Biotin and Related Studies 4
-
- Enzyme Catalysis and Immobilization 9
- Chemical Synthesis and Analysis 3
- Co-authors
- Mark R. Howarth (7 shared papers)Linda Thöny‐Meyer (7 shared papers)Gianfranco Gilardi (5 shared papers)Christopher F. van der Walle (6 shared papers)Andrea Fantuzzi (1 shared paper)Silva Giannini (3 shared papers)Denis Krndija (2 shared papers)Sean Patrick Rigby (1 shared paper)
- Journals
- Journal of the American Chemical Society (4 papers)Nature Communications (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Electrochimica Acta (1 paper)Biochemical Society Transactions (1 paper)
- Partner nations
- United KingdomSwitzerlandSouth Africa
In The Last Decade
M. Fairhead
38 papers receiving 2.2k citations
M. Fairhead's Hit Papers
Peers
Comparison fields: 5 of 109
- Computational Theory and Mathematics 346
- Infectious Diseases 312
- Molecular Biology 910
- Biotechnology 94
- Cell Biology 134
Countries citing papers authored by M. Fairhead
This map shows the geographic impact of M. Fairhead'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 M. Fairhead with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Fairhead more than expected).
Fields of papers citing papers by M. Fairhead
This network shows the impact of papers produced by M. Fairhead. 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 M. Fairhead. The network helps show where M. Fairhead may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Fairhead, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 436 | |
| 2 | 2014 | 314 | |
| 3 | 2019 | 265 | |
| 4 | Open science discovery of potent noncovalent SARS-CoV-2 main protease inhibitors Hit paper breakdown → | 2023 | 126 |
| 5 | 2004 | 122 | |
| 6 | 2011 | 118 | |
| 7 | 2002 | 95 | |
| 8 | 2017 | 89 | |
| 9 | 2013 | 86 | |
| 10 | 2014 | 61 | |
| 11 | 2008 | 57 | |
| 12 | 2023 | 52 | |
| 13 | 2008 | 50 | |
| 14 | 2005 | 48 | |
| 15 | 2013 | 44 | |
| 16 | 2010 | 42 | |
| 17 | 2012 | 42 | |
| 18 | 2013 | 39 | |
| 19 | 2010 | 30 | |
| 20 | 2006 | 25 |
About M. Fairhead
M. Fairhead is a scholar working on Cell Biology, Molecular Biology, Biotechnology, Materials Chemistry and Computational Theory and Mathematics, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (9 papers), Enzyme Structure and Function (7 papers), Biotin and Related Studies (4 papers), Computational Drug Discovery Methods (4 papers), Chemical Synthesis and Analysis (3 papers), Electrochemical sensors and biosensors (3 papers), Enzyme Production and Characterization (3 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (346 citations), Infectious Diseases (312 citations), Molecular Biology (910 citations), Biotechnology (94 citations) and Cell Biology (134 citations). M. Fairhead has collaborated with scholars based in United Kingdom, Switzerland and South Africa. Frequent co-authors include Mark R. Howarth, Linda Thöny‐Meyer, Gianfranco Gilardi, Christopher F. van der Walle, Andrea Fantuzzi, Silva Giannini, Denis Krndija, Sean Patrick Rigby, Yergalem T. Meharenna and Sheila J. Sadeghi. Their work appears in journals such as Journal of the American Chemical Society, Nature Communications, Frontiers in Bioengineering and Biotechnology, Electrochimica Acta and Biochemical Society Transactions.
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.