Victoria Shaw

11.4k total citations
32 papers, 865 citations indexed

About

Victoria Shaw is a scholar working on Oncology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Victoria Shaw has authored 32 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Cancer Research. Recurrent topics in Victoria Shaw's work include Pancreatic and Hepatic Oncology Research (10 papers), Cancer Genomics and Diagnostics (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Victoria Shaw is often cited by papers focused on Pancreatic and Hepatic Oncology Research (10 papers), Cancer Genomics and Diagnostics (6 papers) and Neuroscience and Neuropharmacology Research (5 papers). Victoria Shaw collaborates with scholars based in United Kingdom, Australia and Germany. Victoria Shaw's co-authors include John Mitrofanis, Alim‐Louis Benabid, Jonathan Stone, John P. Neoptolemos, William Greenhalf, Eithne Costello, Keyoumars Ashkan, Gary E. Baker, Trevor F. Cox and Gary Middleton and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical Infectious Diseases.

In The Last Decade

Victoria Shaw

32 papers receiving 851 citations

Peers

Victoria Shaw
Comparison fields: 5 of 95
  • Oncology 280
  • Molecular Biology 224
  • Radiology, Nuclear Medicine and Imaging 205
  • Cellular and Molecular Neuroscience 197
  • Immunology 156
Replace María Dolores Gutiérrez‐López with:
María Dolores Gutiérrez‐López Spain
Uttio Roy Chowdhury United States
Sophia Havaki Greece
Nicholas J. Gutowski United Kingdom
Stefan Gingele Germany
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János Haskó Hungary
MinHee K. Ko United States
Natalie Hudson Ireland
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María Dolores Gutiérrez‐López Spain View profile →
Citations per field, relative to Victoria Shaw
Victoria Shaw · 1×
Citations per year, relative to Victoria Shaw
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Countries citing papers authored by Victoria Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Victoria Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victoria Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Shaw. A scholar is included among the top collaborators of Victoria 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 Victoria Shaw. Victoria 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 14
3 6
4 13
5 1
6 20
7 10
8 83
9 61
10 53
11 80
12 17
13 34
14 25
15 102
16 29
17 51
18 20
19 25
20 19

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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