Mark J. Schofield

2.4k citations
71 papers · 1.9k · 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

Papers in

Mark J. Schofield

62 papers receiving 1.8k citations

Peers

Mark J. Schofield
Comparison fields: 5 of 144
  • Pathology and Forensic Medicine 418
  • Molecular Biology 1.2k
  • Endocrinology 52
  • Genetics 269
  • Pharmacology 145
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Citations per year

Countries citing papers authored by Mark J. Schofield

Since Specialization
Citations

This map shows the geographic impact of Mark J. 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 J. 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 J. Schofield more than expected).

Fields of papers citing papers by Mark J. Schofield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. 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 J. Schofield. The network helps show where Mark J. Schofield may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark J. 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 J. Schofield Line = papers co-authored together Mark J. Schofield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003403
2 2003166
3 2014161
4 2001121
5 2000102
6 200182
7 201879
8 201677
9 201072
10 200353
11 200349
12 201545
13 199839
14 199337
15 200037
16 202137
17 199930
18 201829
19 201224
20 202122

About Mark J. Schofield

Mark J. Schofield is a scholar working on Molecular Biology, Developmental and Educational Psychology, Radiology, Nuclear Medicine and Imaging, Radiation and Pathology and Forensic Medicine, having authored 71 papers that have together received 1.9k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (15 papers), Protein purification and stability (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Genetic factors in colorectal cancer (6 papers), Innovative Teaching and Learning Methods (6 papers), DNA Repair Mechanisms (6 papers), RNA and protein synthesis mechanisms (6 papers) and Advanced X-ray Imaging Techniques (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (418 citations), Molecular Biology (1.2k citations), Endocrinology (52 citations), Genetics (269 citations) and Pharmacology (145 citations). Mark J. Schofield has collaborated with scholars based in United States, United Kingdom and Portugal. Frequent co-authors include Peggy Hsieh, Chunwei Du, René Gantier, Sunil Nayak, David M.J. Lilley, T.G. Leighton, Graham J. Ball, Lloyd A. Taylor, Edvard Ehler and Mick G. Serpell. 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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