Jacqui Shaw

18.0k citations
125 papers · 5.2k · h-index 39

Impact in

Papers in

    • Cancer Genomics and Diagnostics 51
    • Protease and Inhibitor Mechanisms 6
    • Breast Cancer Treatment Studies 5
    • DNA Repair Mechanisms 7
    • Mitochondrial Function and Pathology 7

Jacqui Shaw

118 papers receiving 5.1k citations

Peers

Jacqui Shaw
Comparison fields: 5 of 141
  • Cancer Research 1.9k
  • Oncology 1.3k
  • Molecular Biology 2.3k
  • Pathology and Forensic Medicine 498
  • Immunology and Allergy 158
Replace Alain R. Thierry with:
Alain R. Thierry France
Gilles Favre France
Timothy P. Fleming United States
Hartmut Koeppen United States
Loren Joseph United States
Fabien Calvo France
Kotoku Kurachi United States
Emina H. Huang United States
William Matsui United States
Silvana Canevari Italy
Jacqui Shaw relative to Alain R. Thierry France Alain R. Thierry's profile →
Citations per field
00.5×1.5×2.2×
Alain R. Thierry · 1×
Citations per year

Countries citing papers authored by Jacqui Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Jacqui Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012348
2 2001336
3 2018250
4 1988223
5 2016173
6 2013168
7 2013153
8 2021144
9 2011141
10 2015140
11 2022124
12 2003113
13 1988108
14 2009103
15 201993
16 201891
17 201784
18 198083
19 200283
20 200881

About Jacqui Shaw

Jacqui Shaw is a scholar working on Cancer Research, Molecular Biology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 125 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (51 papers), Genetic factors in colorectal cancer (20 papers), Cancer Cells and Metastasis (11 papers), Genetic Neurodegenerative Diseases (8 papers), DNA Repair Mechanisms (7 papers), Mitochondrial Function and Pathology (7 papers), Protease and Inhibitor Mechanisms (6 papers) and Breast Cancer Treatment Studies (5 papers). The work is most often cited by research in Cancer Research (1.9k citations), Oncology (1.3k citations), Molecular Biology (2.3k citations), Pathology and Forensic Medicine (498 citations) and Immunology and Allergy (158 citations). Jacqui Shaw has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include R. Charles Coombes, Karen Page, David S. Guttery, Rosemary A. Walker, Justin Stebbing, Tom Walsh, James H. Pringle, Robert Hastings, Verner Paetkau and Allison Hills. Their work appears in journals such as British Journal of Cancer, Oncogene, The Journal of Pathology, Cancer Research and The Journal of Immunology.

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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