G. Walsh

2.3k citations
39 papers · 1.5k · h-index 20

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 5%
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer Treatment and Pharmacology 18
    • HER2/EGFR in Cancer Research 4
    • Neutropenia and Cancer Infections 3
    • Breast Cancer Treatment Studies 19

G. Walsh

39 papers receiving 1.5k citations

Peers

G. Walsh
Comparison fields: 5 of 88
  • Cancer Research 783
  • Oncology 827
  • Pathology and Forensic Medicine 379
  • Health Informatics 16
  • Pulmonary and Respiratory Medicine 289
Replace Naveen Faridi with:
Naveen Faridi Pakistan
Welela Tereffe United States
Giuseppe Canavese Italy
Maaike de Boer Netherlands
Shuanzeng Wei United States
Carol Colasacco United States
Alfonso Sánchez‐Muñoz Spain
Pinuccia Valagussa Italy
Ji Hyun Chang South Korea
L. G. Dressler United States
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Citations per field
00.5×5.3×
Naveen Faridi · 1×
Citations per year

Countries citing papers authored by G. Walsh

Since Specialization
Citations

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

Fields of papers citing papers by G. Walsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008180
2 2000153
3 1995150
4 1981122
5 1998112
6 199898
7 200386
8 200678
9 199072
10 199465
11 201252
12 200034
13 201531
14 199629
15 199128
16 199827
17 200925
18 202322
19 199519
20 200719

About G. Walsh

G. Walsh is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Dermatology and Pulmonary and Respiratory Medicine, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (19 papers), Cancer Treatment and Pharmacology (18 papers), Breast Lesions and Carcinomas (8 papers), Chemotherapy-related skin toxicity (5 papers), HER2/EGFR in Cancer Research (4 papers), Neutropenia and Cancer Infections (3 papers), Advanced Breast Cancer Therapies (3 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (783 citations), Oncology (827 citations), Pathology and Forensic Medicine (379 citations), Health Informatics (16 citations) and Pulmonary and Respiratory Medicine (289 citations). G. Walsh has collaborated with scholars based in United Kingdom, Australia and Switzerland. Frequent co-authors include Ian E. Smith, S. Ashley, S. Ebbs, Stephen Johnston, J A McKinna, John M. Shneerson, Ravi Mahadeva, Christopher Flower, Peter Ellis and N Sacks. Their work appears in journals such as Journal of Clinical Oncology, British Journal of Cancer, The Breast, Annals of Oncology and Clinical Radiology.

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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