Abigail Shaw

2.1k total citations
20 papers, 175 citations indexed

About

Abigail Shaw is a scholar working on Surgery, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Abigail Shaw has authored 20 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 5 papers in Oncology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Abigail Shaw's work include Orthopedic Surgery and Rehabilitation (9 papers), COVID-19 and healthcare impacts (4 papers) and Surgical site infection prevention (3 papers). Abigail Shaw is often cited by papers focused on Orthopedic Surgery and Rehabilitation (9 papers), COVID-19 and healthcare impacts (4 papers) and Surgical site infection prevention (3 papers). Abigail Shaw collaborates with scholars based in United Kingdom, United States and Australia. Abigail Shaw's co-authors include Kathreena M. Kurian, Harry R. Haynes, Daniel H. Ryan, Justin C.R. Wormald, Mark Greenslade, Paul White, Christopher Wragg, Abigail Palmer, Claire Faulkner and Ryckie G. Wade and has published in prestigious journals such as BMJ, Plastic & Reconstructive Surgery and Journal of Neuropathology & Experimental Neurology.

In The Last Decade

Abigail Shaw

19 papers receiving 172 citations

Peers

Abigail Shaw
Comparison fields: 5 of 53
  • Surgery 86
  • Genetics 45
  • Neurology 40
  • Oncology 29
  • Molecular Biology 28
Replace Rohit Singh with:
Rohit Singh United States
Simon Richardson United Kingdom
Alberto Arrighini Italy
Natalia González United States
Mathew W. Wilson United States
Hirofumi Hirano Japan
Malek Mnejja Tunisia
Nicolas Bischoff France
Elisa Mansutti Italy
Agnieszka Mizia‐Malarz Poland
Rohit Singh United States View profile →
Citations per field, relative to Abigail Shaw
Abigail Shaw · 1×
Citations per year, relative to Abigail Shaw
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Countries citing papers authored by Abigail Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Abigail Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abigail Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Abigail Shaw. A scholar is included among the top collaborators of Abigail Shaw based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Abigail Shaw. Abigail Shaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 1
4 3
5 1
6 10
7 2
8 9
9 10
10 4
11 5
12 4
13 9
14 3
15 17
16 43
17 15
18 11
19
Cure of chronic perineal sinus with gluteus maximus flap.
21
20 6

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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