Letitia Smith

2.5k citations
16 papers · 728 · h-index 12

Impact in

    • Genetic factors in colorectal cancer
  • Oncology top 10%
    • Colorectal Cancer Screening and Detection
    • Colorectal Cancer Treatments and Studies
    • Cancer Cells and Metastasis

Papers in

    • Genetic factors in colorectal cancer 5
    • Cancer Cells and Metastasis 2
    • Colorectal Cancer Screening and Detection 2
    • Colorectal Cancer Treatments and Studies 1

Letitia Smith

15 papers receiving 700 citations

Peers

Letitia Smith
Comparison fields: 5 of 67
  • Pathology and Forensic Medicine 347
  • Oncology 252
  • Cancer Research 139
  • Genetics 189
  • Rehabilitation 25
Replace Susanne Stemmler with:
Susanne Stemmler Germany
Sarah A. Jackson United States
Tiina Hurskainen Finland
Daniel E. Webster United States
Barbara K. Zehentner United States
Amélia G. Araújo Brazil
A. Schmidt Germany
Hwan Chour Han Singapore
Chengxin Li China
Amanda J. Atherton United Kingdom
Letitia Smith relative to Susanne Stemmler Germany Susanne Stemmler's profile →
Citations per field
00.5×2.9×
Susanne Stemmler · 1×
Citations per year

Countries citing papers authored by Letitia Smith

Since Specialization
Citations

This map shows the geographic impact of Letitia 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 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 Smith more than expected).

Fields of papers citing papers by Letitia Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2005163
2 2006122
3 1985105
4 200687
5 198662
6 202029
7 201129
8 200628
9 199426
10 200725
11 200918
12 200714
13 20108
14 20118
15 20214
16 20240

About Letitia Smith

Letitia Smith is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Molecular Biology and Immunology, having authored 16 papers that have together received 728 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), BRCA gene mutations in cancer (4 papers), Cancer Cells and Metastasis (2 papers), Colorectal Cancer Screening and Detection (2 papers), Colorectal Cancer Treatments and Studies (1 paper), DNA Repair Mechanisms (1 paper), Cellular Mechanics and Interactions (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (347 citations), Oncology (252 citations), Cancer Research (139 citations), Genetics (189 citations) and Rehabilitation (25 citations). Letitia Smith has collaborated with scholars based in Australia, United Kingdom and France. Frequent co-authors include Melissa C. Southey, Graham G. Giles, Mark A. Jenkins, Leeanne J. Mead, A. M. Schor, G. Rushton, David John, Jeremy R. Jass, John L. Hopper and Simon G. Royce. Their work appears in journals such as European Journal of Cancer, Clinical Cancer Research, Life Science Alliance, Clinical Gastroenterology and Hepatology and Breast Cancer Research.

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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