E Dublin

824 citations
8 papers · 745 · h-index 7

Impact in

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

Papers in

    • Cancer-related Molecular Pathways 5
    • HER2/EGFR in Cancer Research 2
    • Cutaneous Melanoma Detection and Management 1
    • Cancer Diagnosis and Treatment 1
    • Heat shock proteins research 1
    • Ubiquitin and proteasome pathways 1

E Dublin

8 papers receiving 715 citations

Peers

E Dublin
Comparison fields: 5 of 58
  • Oncology 472
  • Cancer Research 189
  • Immunology and Allergy 53
  • Dermatology 72
  • Radiology, Nuclear Medicine and Imaging 124
Replace Bill Angus with:
Bill Angus United Kingdom
Frank Mross Germany
Yoshiatsu Sagara Japan
Edwin A. Dublin United Kingdom
Ulrike Lacher Germany
Alfred Schauer Germany
T Hirota Japan
A. Lambiase Italy
Shyam M. Kavuri United States
L. G. Bobrow United Kingdom
E Dublin relative to Bill Angus United Kingdom Bill Angus's profile →
Citations per field
00.5×2.9×
Bill Angus · 1×
Citations per year

Countries citing papers authored by E Dublin

Since Specialization
Citations

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

Fields of papers citing papers by E Dublin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside E Dublin, 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 E Dublin Line = papers co-authored together E Dublin links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1992218
2 1993209
3
Stromelysin 3: an independent prognostic factor for relapse-free survival in node-positive breast cancer and demonstration of novel breast carcinoma cell expression.
1998103
4 199290
5 199359
6 200242
7 199521
8 19993

About E Dublin

E Dublin is a scholar working on Oncology, Molecular Biology, Pathology and Forensic Medicine, Cancer Research and Dermatology, having authored 8 papers that have together received 745 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), HER2/EGFR in Cancer Research (2 papers), Cardiovascular Effects of Exercise (1 paper), Heat shock proteins research (1 paper), Ubiquitin and proteasome pathways (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (472 citations), Cancer Research (189 citations), Immunology and Allergy (53 citations), Dermatology (72 citations) and Radiology, Nuclear Medicine and Imaging (124 citations). E Dublin has collaborated with scholars based in United Kingdom. Frequent co-authors include David A. Levison, D M Barnes, Rosemary R. Millis, C. Fisher, J.M. McGregor, D.M. MACDONALD, C. C.‐W. Yu, Paul Smith, NR Lemoine and S A Prigent. Their work appears in journals such as British Journal of Dermatology, British Journal of Cancer, The Journal of Pathology, Human Pathology and PubMed.

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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