Olivia Shaw

698 citations
31 papers · 426 · h-index 12

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 25
    • Transplantation: Methods and Outcomes 7
    • Organ Transplantation Techniques and Outcomes 3

Olivia Shaw

30 papers receiving 416 citations

Peers

Olivia Shaw
Comparison fields: 5 of 61
  • Transplantation 253
  • Nephrology 49
  • Immunology 66
  • Surgery 111
  • Psychiatry and Mental health 33
Replace Rachel Sellers with:
Rachel Sellers United Kingdom
Juliette Gueguen France
Maria Paola Salerno Italy
Araceli Caballero-Hidalgo Spain
Roghayeh Akbari Iran
Shih‐Yuan Hung Taiwan
Kelley Chuang United States
Prakash Patel India
Esther Zorio Grima Spain
Laure Collard Belgium
Olivia Shaw relative to Rachel Sellers United Kingdom Rachel Sellers's profile →
Citations per field
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Rachel Sellers · 1×
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-authors

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

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201771
2 201466
3 201763
4 201526
5 202324
6 201723
7 201417
8 202016
9 200013
10 201713
11 201511
12 201811
13 202210
14 20137
15
ECULIZUMAB FOR SALVAGE IN POST-TRANSPLANT THROMBOTIC MICROANGIOPATHY
20116
16 20206
17 20235
18 20235
19 20185
20 20225

About Olivia Shaw

Olivia Shaw is a scholar working on Transplantation, Surgery, Epidemiology, Public Health, Environmental and Occupational Health and Immunology, having authored 31 papers that have together received 426 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (25 papers), Transplantation: Methods and Outcomes (7 papers), Organ Transplantation Techniques and Outcomes (3 papers), Cytomegalovirus and herpesvirus research (3 papers), Organ Donation and Transplantation (2 papers), Blood groups and transfusion (2 papers), T-cell and B-cell Immunology (2 papers) and Autism Spectrum Disorder Research (1 paper). The work is most often cited by research in Transplantation (253 citations), Nephrology (49 citations), Immunology (66 citations), Surgery (111 citations) and Psychiatry and Mental health (33 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, Neil J. Sebire, R. S. Vaughan, Zubir Ahmed, George Michaelides, Leonardo Koeser and Matthew Robb. Their work appears in journals such as Transplant International, Pediatric Nephrology, Transplantation, International Journal of Immunogenetics 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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