Clare Orange

2.0k citations
44 papers · 1.2k · h-index 20

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Sphingolipid Metabolism and Signaling 3
    • Protein Kinase Regulation and GTPase Signaling 2
    • Inflammatory Biomarkers in Disease Prognosis 3
    • Colorectal Cancer Screening and Detection 2

Clare Orange

44 papers receiving 1.2k citations

Peers

Clare Orange
Comparison fields: 5 of 81
  • Cancer Research 258
  • Oncology 331
  • Cell Biology 166
  • Molecular Biology 553
  • Immunology 127
Replace Dai Shimizu with:
Dai Shimizu Japan
G F Barnard United States
Tasuku Matsuoka Japan
Toshiaki Ishikawa Japan
Susan E. Bray United Kingdom
Maria Colombino Italy
Ana Sebio Spain
Aiguo Lu China
Parham Minoo Canada
Itzhak Avital United States
Clare Orange relative to Dai Shimizu Japan Dai Shimizu's profile →
Citations per field
00.5×1.5×1.9×
Dai Shimizu · 1×
Citations per year

Countries citing papers authored by Clare Orange

Since Specialization
Citations

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

Fields of papers citing papers by Clare Orange

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016155
2 2010145
3 201268
4 201166
5 201259
6 201255
7 201454
8 201344
9 201241
10 201239
11 201436
12 201434
13 201332
14 201230
15 201227
16 201227
17 201327
18 201526
19 201225
20 201619

About Clare Orange

Clare Orange is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Prostate Cancer Treatment and Research (3 papers), Sphingolipid Metabolism and Signaling (3 papers), Estrogen and related hormone effects (3 papers), Urinary Bladder and Prostate Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Cancer Research (258 citations), Oncology (331 citations), Cell Biology (166 citations), Molecular Biology (553 citations) and Immunology (127 citations). Clare Orange has collaborated with scholars based in United Kingdom, United States and Libya. Frequent co-authors include Joanne Edwards, James J. Going, Donald C. McMillan, Julie Doughty, Elizabeth Mallon, Morag Seywright, Susan Pyne, Nigel J. Pyne, Zahra Mohammed and Jaclyn S. Long. Their work appears in journals such as British Journal of Cancer, Histopathology, Gut, Cancer Research and American Journal Of Pathology.

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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