Mark Sopwith

1.5k citations
13 papers · 1.2k · h-index 9

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Adipokines, Inflammation, and Metabolic Diseases
    • Microscopic Colitis

Papers in

Mark Sopwith

12 papers receiving 1.1k citations

Peers

Mark Sopwith
Comparison fields: 5 of 88
  • Immunology 339
  • Epidemiology 528
  • Endocrine and Autonomic Systems 87
  • Physiology 273
  • Genetics 279
Replace Simona Ognjanovic with:
Simona Ognjanovic United States
Alaa Afify United States
Malte Peters Germany
Noriyoshi Ogawa Japan
J. Herbert United Kingdom
Henri Roger Lijnen Belgium
Martin Pöhl Germany
Isaac T. W. Harley United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark Sopwith

Since Specialization
Citations

This map shows the geographic impact of Mark Sopwith'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 Sopwith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Sopwith more than expected).

Fields of papers citing papers by Mark Sopwith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 1996424
2 1997310
3
Comprehensive pharmacokinetics of a humanized antibody and analysis of residual anti-idiotypic responses.
199599
4 199596
5 200293
6 199074
7 200034
8
Biodistribution of (111)indium-labeled engineered human antibody CTMO1 in ovarian cancer patients: influence of protein dose.
199619
9 199816
10 19998
11
The engineered human anti-tumor necrosis factor-alpha antibody CDP571 inhibits inflammatory pathways but not T cell activation in patients with rheumatoid arthritis.
19997
12 19865
13 20090

About Mark Sopwith

Mark Sopwith is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Epidemiology and Physiology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Adipose Tissue and Metabolism (2 papers), Pancreatic function and diabetes (1 paper), Heart Failure Treatment and Management (1 paper), Dermatology and Skin Diseases (1 paper), Cancer Research and Treatments (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Immunology (339 citations), Epidemiology (528 citations), Endocrine and Autonomic Systems (87 citations), Physiology (273 citations) and Genetics (279 citations). Mark Sopwith has collaborated with scholars based in United Kingdom, Netherlands and United States. Frequent co-authors include Roy Taylor, Francis Ofei, Steve Hurel, Patricia K. Heath, Alastair Forbes, J Freeman, G. K. T. Holmes, Rose G. Long, CJ Hawkey and Sue Stephens. Their work appears in journals such as Diabetes, The Lancet, Hypertension, Cancer Immunology Immunotherapy and Critical Care Medicine.

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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