Grace Callagy

3.0k citations
45 papers · 2.0k · h-index 22

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis

Papers in

Grace Callagy

44 papers receiving 1.9k citations

Peers

Grace Callagy
Comparison fields: 5 of 118
  • Cancer Research 601
  • Oncology 590
  • Pathology and Forensic Medicine 221
  • Molecular Biology 736
  • Dermatology 61
Replace Wenbin Zhou with:
Wenbin Zhou China
Tadahiko Shien Japan
David A. Quigley United States
Paola Parrella Italy
Dong‐Young Noh South Korea
Odilia Popanda Germany
Hans Guski Germany
Xiaoqun Dong United States
Vera Cappelletti Italy
Zhen‐Zhou Shen China
Grace Callagy relative to Wenbin Zhou China Wenbin Zhou's profile →
Citations per field
00.5×1.7×
Wenbin Zhou · 1×
Citations per year

Countries citing papers authored by Grace Callagy

Since Specialization
Citations

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

Fields of papers citing papers by Grace Callagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010261
2 2006187
3 2008162
4 2003136
5 2003135
6 2005117
7 200482
8 201778
9 200473
10 200869
11 202162
12 200850
13 201645
14 201644
15 202238
16 202336
17 201934
18 199934
19 201232
20 201331

About Grace Callagy

Grace Callagy is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Molecular Biology and Genetics, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Breast Lesions and Carcinomas (7 papers), HER2/EGFR in Cancer Research (4 papers), Cancer Genomics and Diagnostics (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer and Skin Lesions (3 papers), Hepatitis C virus research (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Cancer Research (601 citations), Oncology (590 citations), Pathology and Forensic Medicine (221 citations), Molecular Biology (736 citations) and Dermatology (61 citations). Grace Callagy has collaborated with scholars based in Ireland, United Kingdom and Italy. Frequent co-authors include Carlos Caldas, Paul D.P. Pharoah, Mark Webber, Sarah E. Pinder, Ian O. Ellis, Yataro Daigo, David G. Huntsman, Suet‐Feung Chin, Michael J. Kerin and Sarah L. Vowler. Their work appears in journals such as Journal of Clinical Pathology, European Journal of Gastroenterology & Hepatology, Blood, Cancers and The Breast.

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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