Mark Pearson

1.3k citations
34 papers · 1.1k · h-index 15

Impact in

    • Osteoarthritis Treatment and Mechanisms
    • Rheumatoid Arthritis Research and Therapies
    • Cancer-related molecular mechanisms research

Papers in

    • Osteoarthritis Treatment and Mechanisms 8
    • Total Knee Arthroplasty Outcomes 3

Mark Pearson

33 papers receiving 1.0k citations

Peers

Mark Pearson
Comparison fields: 5 of 107
  • Rheumatology 411
  • Cancer Research 189
  • Immunology and Allergy 52
  • Immunology 185
  • Pharmacology 75
Replace Reuben Gobezie with:
Reuben Gobezie United States
Koichi Fujii Japan
H. G. Faßbender Germany
Ulf Müeller-Ladner Germany
Daniel G. Arkfeld United States
Denise Tostes Oliveira Brazil
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C. Kuhnen Germany
Fernando Gallardo Spain
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Citations per field
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Citations per year

Countries citing papers authored by Mark Pearson

Since Specialization
Citations

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

Fields of papers citing papers by Mark Pearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015199
2 2014142
3 2017123
4 2015110
5 200098
6 201683
7 201954
8 201632
9 201530
10 201828
11 201626
12 200425
13 201716
14
Measuring consultation skills in primary care in England: evaluation and development of content of the MAAS scale.
200216
15 199316
16 201514
17 199114
18 20168
19 19938
20 19948

About Mark Pearson

Mark Pearson is a scholar working on Rheumatology, Surgery, Molecular Biology, General Health Professions and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (8 papers), Total Knee Arthroplasty Outcomes (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Child and Adolescent Health (3 papers), Cancer-related molecular mechanisms research (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), RNA Research and Splicing (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Rheumatology (411 citations), Cancer Research (189 citations), Immunology and Allergy (52 citations), Immunology (185 citations) and Pharmacology (75 citations). Mark Pearson has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Simon W. Jones, Herbert H. Lipowsky, Daniel Tonge, Edward T. Davis, Ashleigh M. Philp, Janet M. Lord, Mark A. Lindsay, Andrew Filer, Christopher D. Buckley and Karim Raza. Their work appears in journals such as Osteoarthritis and Cartilage, Arthritis & Rheumatology, Archives of Disease in Childhood, Scientific Reports and European Journal of Surgical Oncology.

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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