I. E. Smith

1k citations
18 papers · 802 · 1 hit paper · h-index 11

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • HER2/EGFR in Cancer Research

Papers in

    • Breast Cancer Treatment Studies 9
    • Cancer Treatment and Pharmacology 2
    • HER2/EGFR in Cancer Research 2

I. E. Smith

18 papers receiving 760 citations

I. E. Smith's Hit Papers

Whole genome sequencing-powered ctDNA sequencing for breast cancer detection 2025 · 37 citations
370Years since publication102030

Peers

I. E. Smith
Comparison fields: 5 of 60
  • Cancer Research 374
  • Oncology 162
  • Genetics 122
  • Hematology 46
  • Pathology and Forensic Medicine 56
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Citations per field
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Citations per year

Countries citing papers authored by I. E. Smith

Since Specialization
Citations

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

Fields of papers citing papers by I. E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2006240
2
HER-2 amplification impedes the antiproliferative effects of hormone therapy in estrogen receptor-positive primary breast cancer.
2001154
3 200171
4 198764
5 201164
6 197650
7
Whole genome sequencing-powered ctDNA sequencing for breast cancer detection
Hit paper breakdown →
202537
8 200536
9 197719
10 199515
11 199613
12
Carcinoid tumour presenting as an orbital metastasis.
198111
13 20118
14 19946
15 20095
16 20185
17 19772
18 19852

About I. E. Smith

I. E. Smith is a scholar working on Cancer Research, Oncology, Hematology, Genetics and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 802 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Estrogen and related hormone effects (3 papers), Cancer Treatment and Pharmacology (2 papers), Acute Myeloid Leukemia Research (2 papers), HER2/EGFR in Cancer Research (2 papers), Lung Cancer Treatments and Mutations (1 paper), Chemotherapy-induced cardiotoxicity and mitigation (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Cancer Research (374 citations), Oncology (162 citations), Genetics (122 citations), Hematology (46 citations) and Pathology and Forensic Medicine (56 citations). I. E. Smith has collaborated with scholars based in United Kingdom, Portugal and United States. Frequent co-authors include Susana N. Banerjee, David Steele, Jorge Sergio Reis-Filho, Alan Ashworth, Sunil R. Lakhani, S. Ashley, Mitch Dowsett, Martin Eric Gore, Janine Salter and Hilary Calvert. Their work appears in journals such as Postgraduate Medical Journal, Cancer Chemotherapy and Pharmacology, The Lancet, Anti-Cancer Drugs and JNCI Monographs.

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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