Letitia D. Smith

2.1k citations
19 papers · 1.8k · 1 hit paper · h-index 13

Impact in

    • Genetic factors in colorectal cancer
  • Genetics top 5%
    • BRCA gene mutations in cancer
    • Genetic Associations and Epidemiology
    • Estrogen and related hormone effects

Papers in

Letitia D. Smith

18 papers receiving 1.7k citations

Letitia D. Smith's Hit Papers

Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies 2010 · 575 citations
5750+5+10Years since publication100200300400500

Peers

Letitia D. Smith
Comparison fields: 5 of 72
  • Pathology and Forensic Medicine 422
  • Genetics 660
  • Cancer Research 286
  • Oncology 405
  • Pulmonary and Respiratory Medicine 85
Replace Amy Lloyd with:
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Marilena Melas United States
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Letitia D. Smith relative to Amy Lloyd United Kingdom Amy Lloyd's profile →
Citations per field
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Citations per year

Countries citing papers authored by Letitia D. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Letitia D. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
Associations of Breast Cancer Risk Factors With Tumor Subtypes: A Pooled Analysis From the Breast Cancer Association Consortium Studies
Hit paper breakdown →
2010575
2 2009408
3 2005184
4 2011144
5 2006136
6 200994
7 201138
8 201034
9 202032
10 200631
11 200726
12 200919
13 200716
14 200612
15 20109
16 20119
17 20214
18 20072
19 20240

About Letitia D. Smith

Letitia D. Smith is a scholar working on Pathology and Forensic Medicine, Genetics, Immunology, Oncology and Nuclear Energy and Engineering, having authored 19 papers that have together received 1.8k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (8 papers), Genetic factors in colorectal cancer (7 papers), Genetic Associations and Epidemiology (3 papers), Multiple Sclerosis Research Studies (2 papers), T-cell and B-cell Immunology (1 paper) and Cancer Risks and Factors (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (422 citations), Genetics (660 citations), Cancer Research (286 citations), Oncology (405 citations) and Pulmonary and Respiratory Medicine (85 citations). Letitia D. Smith has collaborated with scholars based in Australia, United Kingdom and France. Frequent co-authors include Graham G. Giles, Melissa C. Southey, John Llewelyn Hopper, Mark A. Jenkins, Leeanne J. Mead, Jeremy R. Jass, Andrea A. Tesoriero, Simon G. Royce, Joanne P Young and Finlay Macrae. Their work appears in journals such as JNCI Journal of the National Cancer Institute, European Journal of Cancer, Life Science Alliance, Colorectal Disease and Clinical Genetics.

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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