D. McCarthy

972 citations
42 papers · 689 indexed · h-index 16

D. McCarthy

40 papers receiving 642 citations

Peers

D. McCarthy
Comparison fields: 5 of 97
  • Hematology 213
  • Genetics 106
  • Nephrology 33
  • Rheumatology 67
  • Pathology and Forensic Medicine 77
Replace I. Millán with:
I. Millán Spain
Philip Lumley United Kingdom
Patric Garcia Germany
Manjula Bansal United States
A Soren United States
Yutaka Ogawa Japan
Charles H. Slocumb United States
M.E. Martı́nez Spain
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Khosrow Siamak Houschyar Germany
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Citations per field
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Citations per year

Countries citing papers authored by D. McCarthy

Since Specialization
Citations

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

Fields of papers citing papers by D. McCarthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Delivery of recombinant human soluble receptor for advanced glycation end products delays autoimmune diabetes in the NOD mouse model
20151
2
Ager1 overexpression in glomerular podocytes results in renal disease which is exacerbated by diabetes
20141
3 20087
4 20081
5 200410
6 199766
7
Stimulation of goblet cell mucous secretion by activation of nerves in rat conjunctiva
19963
8 199527
9 199213
10 19908
11 19906
12 19904
13 19898
14 198923
15 198964
16
Bone marrow transplantation for adults and children with poor risk acute lymphoblastic leukaemia in first complete remission.
198814
17 198816
18
Specific uptake of 1,25-dihydroxycholecalciferol by human chronic myeloid leukemia cells.
198416
19 19795
20 19761

About D. McCarthy

D. McCarthy is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Nephrology and Dermatology, having authored 42 papers that have together received 689 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (9 papers), Tribology and Lubrication Engineering (6 papers), Acute Myeloid Leukemia Research (6 papers), Lubricants and Their Additives (5 papers), Tribology and Wear Analysis (4 papers), Platelet Disorders and Treatments (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (213 citations), Genetics (106 citations), Nephrology (33 citations), Rheumatology (67 citations) and Pathology and Forensic Medicine (77 citations). D. McCarthy has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Sergei Glavatskih, Jeffrey S. Stoff, Andrew J. Cohen, Alison H. McGregor, Sean Hughes, Ian Sherrington, Daniel Catovsky, J. Michael Conlon, Edward Kanfer and A. M. Worsley. Their work appears in journals such as British Journal of Haematology, Lubrication Science, Acta Haematologica, Polymer Composites and Clinical Radiology.

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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