Mark Schofield
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- Genetic factors in colorectal cancer 6
- Molecular Biology top 10%
- Viral Infectious Diseases and Gene Expression in Insects 14
- Protein purification and stability 9
- DNA Repair Mechanisms 6
- RNA and protein synthesis mechanisms 6
- Genetics top 10%
- Virus-based gene therapy research 5
- Endocrinology top 10%
- Pharmacology top 10%
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- Monoclonal and Polyclonal Antibodies Research 8
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- Viral gastroenteritis research and epidemiology 5
Mark Schofield
49 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 140
- Pathology and Forensic Medicine 412
- Molecular Biology 1.2k
- Genetics 262
- Endocrinology 45
- Pharmacology 129
Countries citing papers authored by Mark Schofield
This map shows the geographic impact of Mark Schofield'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 Schofield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Schofield more than expected).
Fields of papers citing papers by Mark Schofield
This network shows the impact of papers produced by Mark Schofield. 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 Schofield. The network helps show where Mark Schofield may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Schofield, 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 | 2024 | 9 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2019 | 14 | |
| 5 | 2018 | 2 | |
| 6 | 2018 | 18 | |
| 7 | Implementation of an end-to-end continuous bioprocessing platform using novel technologies | 2017 | 1 |
| 8 | 2016 | 65 | |
| 9 | 2015 | 42 | |
| 10 | 2014 | 138 | |
| 11 | 2014 | 17 | |
| 12 | Dynamics in interpreted interactions: An insight into the perceptions of healthcare professionals | 2014 | 13 |
| 13 | 2012 | 23 | |
| 14 | 2010 | 2 | |
| 15 | 2009 | 0 | |
| 16 | 2008 | 6 | |
| 17 | 2003 | 52 | |
| 18 | Constructivist Principles and Conditions for Learning: Scaffolding Curriculum Design | 2003 | 3 |
| 19 | 2001 | 79 | |
| 20 | 2001 | 118 |
About Mark Schofield
Mark Schofield is a scholar working on Endocrinology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Radiation and Pathology and Forensic Medicine, having authored 55 papers that have together received 1.7k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (14 papers), Protein purification and stability (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), DNA Repair Mechanisms (6 papers), RNA and protein synthesis mechanisms (6 papers), Genetic factors in colorectal cancer (6 papers), Virus-based gene therapy research (5 papers) and Viral gastroenteritis research and epidemiology (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (412 citations), Molecular Biology (1.2k citations), Genetics (262 citations), Endocrinology (45 citations) and Pharmacology (129 citations). Mark Schofield has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Peggy Hsieh, Chunwei Du, Sunil Nayak, René Gantier, David M.J. Lilley, T.G. Leighton, Eric Alani, G.J. Ball, Malcolm F. White and Edvard Ehler. Their work appears in journals such as Biotechnology Journal, Biochemistry, Journal of Biological Chemistry, Cytotherapy and Journal of Chromatography B.
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.