D.A. Lowther

52 papers receiving 1.8k citations

Peers

D.A. Lowther
Comparison fields: 5 of 115
  • Cell Biology 1.1k
  • Immunology and Allergy 303
  • Rheumatology 733
  • Biomaterials 349
  • Orthopedics and Sports Medicine 98
Replace Dominic D. Dziewiatkowski with:
Dominic D. Dziewiatkowski United States
Shirley Ayad United Kingdom
Stanley W. Sajdera United States
S Suzuki Japan
David J. Etherington United Kingdom
Ryu‐Ichiro Hata Japan
James E. Christner United States
Dennis A. Lowther Australia
Yoshio Hojima United States
F.S. Steven United Kingdom
D.A. Lowther relative to Dominic D. Dziewiatkowski United States Dominic D. Dziewiatkowski's profile →
Citations per field
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Dominic D. Dziewiatkowski · 1×
Citations per year

Countries citing papers authored by D.A. Lowther

Since Specialization
Citations

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

Fields of papers citing papers by D.A. Lowther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.A. Lowther. 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 D.A. Lowther. The network helps show where D.A. Lowther may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968171
2 1975156
3 1968145
4 1959142
5 1977115
6 1976107
7 197885
8 198466
9 198164
10 196160
11 198058
12 198956
13 198054
14 197248
15 197541
16 197738
17 196638
18 195638
19 197834
20
Depolymerization of synovial fluid hyaluronic acid (HA) by the complete myeloperoxidase (MPO) system may involve the formation of a HA-MPO ionic complex.
199034

About D.A. Lowther

D.A. Lowther is a scholar working on Cell Biology, Rheumatology, Molecular Biology, Biomaterials and Cancer Research, having authored 53 papers that have together received 2.0k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (32 papers), Osteoarthritis Treatment and Mechanisms (23 papers), Glycosylation and Glycoproteins Research (9 papers), Collagen: Extraction and Characterization (9 papers), Protease and Inhibitor Mechanisms (7 papers), Silk-based biomaterials and applications (4 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Fibroblast Growth Factor Research (4 papers). The work is most often cited by research in Cell Biology (1.1k citations), Immunology and Allergy (303 citations), Rheumatology (733 citations), Biomaterials (349 citations) and Orthopedics and Sports Medicine (98 citations). D.A. Lowther has collaborated with scholars based in Australia, United Kingdom and Tanzania. Frequent co-authors include Bryan P. Toole, Christopher J. Handley, Heather L. Brown, John D. Sandy, Sheila L. Handley, H. J. Rogers, Mark S. Baker, H C Robinson, Minoru Okayama and Madhusudan Natarajan. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - General Subjects, Biochemical Journal, Nature, Seminars in Arthritis and Rheumatism and Sexually Transmitted Infections.

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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