Malcolm Davies

8.0k citations
257 papers · 5.7k · h-index 44

Impact in

  • Nephrology top 0.5%
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Cell Adhesion Molecules Research

Papers in

Malcolm Davies

231 papers receiving 5.4k citations

Peers

Malcolm Davies
Comparison fields: 5 of 168
  • Nephrology 1.2k
  • Immunology and Allergy 607
  • Equine 163
  • Cancer Research 1.1k
  • Hematology 668
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John J. Reynolds United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Malcolm Davies

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm Davies

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 257 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984241
2 1992173
3 1992154
4 1988145
5
Human peritoneal mesothelial cells synthesize interleukin-8. Synergistic induction by interleukin-1 beta and tumor necrosis factor-alpha.
1993133
6 1984129
7 2007128
8 1996125
9
Structural characterization of the mesangial cell type IV collagenase and enhanced expression in a model of immune complex-mediated glomerulonephritis.
1992114
10 1978100
11 200299
12 199491
13 199489
14 200387
15 200585
16 198983
17 199483
18 198683
19 199382
20 201180

About Malcolm Davies

Malcolm Davies is a scholar working on Molecular Biology, Anthropology, Nephrology, Cell Biology and Immunology, having authored 257 papers that have together received 5.7k indexed citations. Recurring topics across this work include Classical Antiquity Studies (40 papers), Proteoglycans and glycosaminoglycans research (25 papers), Cell Adhesion Molecules Research (24 papers), Osteoarthritis Treatment and Mechanisms (20 papers), Renal Diseases and Glomerulopathies (19 papers), Protease and Inhibitor Mechanisms (18 papers), Glycosylation and Glycoproteins Research (16 papers) and Historical, Religious, and Philosophical Studies (14 papers). The work is most often cited by research in Nephrology (1.2k citations), Immunology and Allergy (607 citations), Equine (163 citations), Cancer Research (1.1k citations) and Hematology (668 citations). Malcolm Davies has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include A. John Barrett, David H. Lovett, John T. Martin, Gerald A. Coles, Nicholas Topley, Andrew C. Newby, Kay M. Southgate, Anders Grubb, G. Thomas and Camille Huser. Their work appears in journals such as Kidney International, The Classical Quarterly, Biochemical Journal, Biochemical Society Transactions and Equine Veterinary Journal.

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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