Olivia Shaw

674 citations
31 papers · 394 indexed · h-index 12

Olivia Shaw

29 papers receiving 384 citations

Peers

Olivia Shaw
Comparison fields: 5 of 65
  • Transplantation 273
  • Nephrology 64
  • Immunology 89
  • Surgery 150
  • Psychiatry and Mental health 45
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Arthur J. Matas United States
Juliette Gueguen France
Maria Paola Salerno Italy
Murielle Surquin Belgium
Marie Krantz Sweden
Shih‐Yuan Hung Taiwan
Mirela Bušić Croatia
Arzu Velioğlu Türkiye
Elliot Grodstein United States
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Citations per field
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Citations per year

Countries citing papers authored by Olivia Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 202319
4 20235
5 20223
6 20223
7 20206
8 201768
9 201755
10 201721
11 201511
12 201462
13 201417
14
RISK FACTORS ASSOCIATED WITH ANTIBODY-MEDIATED REJECTION IN ABO INCOMPATIBLE KIDNEY TRANSPLANTATION
20131
15
LONG-TERM OUTCOME OF HLA-ANTIBODY AND ABO INCOMPATIBLE KIDNEY TRANSPLANTATION
20133
16
The Importance of T Cell Memory in HLA Specific Antibody Incompatible Renal Transplantation.
20112
17
ECULIZUMAB FOR SALVAGE IN POST-TRANSPLANT THROMBOTIC MICROANGIOPATHY
20116
18
Epityping - a new approach to the HLA system designed for solid organ transplantation
20100
19 20093
20 200013

About Olivia Shaw

Olivia Shaw is a scholar working on Transplantation, Nephrology and Immunology, having authored 31 papers that have together received 394 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (28 papers), Transplantation: Methods and Outcomes (8 papers), Organ Transplantation Techniques and Outcomes (7 papers), Organ Donation and Transplantation (5 papers), Renal Diseases and Glomerulopathies (4 papers), Cytomegalovirus and herpesvirus research (4 papers), T-cell and B-cell Immunology (4 papers) and Organ and Tissue Transplantation Research (2 papers). The work is most often cited by research in Transplantation (273 citations), Nephrology (64 citations) and Immunology (89 citations). Olivia Shaw has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Nizam Mamode, Anthony Dorling, Nicos Kessaris, Miriam Manook, R. S. Vaughan, Zubir Ahmed, Neil J. Sebire, Matthew Robb, George Michaelides and Leonardo Koeser. Their work appears in journals such as Transplant International, Pediatric Nephrology, International Journal of Immunogenetics, Transplantation and American Journal of Transplantation.

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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