Mark Schofield

2.3k citations
55 papers · 1.7k · h-index 20

Impact in

    • Genetic factors in colorectal cancer
    • DNA Repair Mechanisms
    • RNA and protein synthesis mechanisms
    • Viral Infectious Diseases and Gene Expression in Insects
    • Protein purification and stability
    • RNA Research and Splicing

Papers in

Mark Schofield

49 papers receiving 1.7k citations

Peers

Mark Schofield
Comparison fields: 5 of 140
  • Pathology and Forensic Medicine 412
  • Molecular Biology 1.2k
  • Genetics 262
  • Endocrinology 45
  • Pharmacology 129
Replace Jiang Zhu with:
Jiang Zhu China
T. J. Davies United Kingdom
Hideaki Kikuchi Japan
Alexander Long United States
Takuya Morimoto Japan
J.E. Johnson United States
Rebecca Rose United States
Andrea Hofmann Germany
Steven Chen United States
Tetsuo Nakamura Japan
Mark Schofield relative to Jiang Zhu China Jiang Zhu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Schofield

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Mark Schofield Line = papers co-authored together Mark Schofield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003382
2 2003158
3 2014138
4 2001118
5 200093
6 200179
7 201871
8 201665
9 201063
10 200352
11 200349
12 201542
13 199840
14 200037
15 199336
16 202130
17 199928
18 201223
19 201823
20 202119

About Mark Schofield

Mark Schofield is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Pathology and Forensic Medicine and Genetics, 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), Genetic factors in colorectal cancer (6 papers), DNA Repair Mechanisms (6 papers), RNA and protein synthesis mechanisms (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, G.J. Ball, Eric Alani, T.G. Leighton, Malcolm F. White and J. Hovorka. 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.

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