Valerie McCormack

14.9k citations
132 papers · 7.4k indexed · 4 hit papers · h-index 44

Valerie McCormack

130 papers receiving 7.2k citations

Hit Papers

Globa...159200620262012201950010001.5k

Peers

Valerie McCormack
Comparison fields: 5 of 170
  • Oncology 3.6k
  • Cancer Research 1.3k
  • Pulmonary and Respiratory Medicine 2.3k
  • Artificial Intelligence 1.4k
  • Radiology, Nuclear Medicine and Imaging 865
Replace Isabel dos‐Santos‐Silva with:
Isabel dos‐Santos‐Silva United Kingdom
Kamila Czene Sweden
Amy Trentham‐Dietz United States
Erin J. Aiello Bowles United States
Giske Ursin United States
Diana S.M. Buist United States
Margaret McCredie Australia
Elizabeth T. H. Fontham United States
Sabine Siesling Netherlands
Tomotaka Sobue Japan
Valerie McCormack relative to Isabel dos‐Santos‐Silva United Kingdom Isabel dos‐Santos‐Silva's profile →
Citations per field
00.5×1.5×
Isabel dos‐Santos‐Silva · 1×
Citations per year

Countries citing papers authored by Valerie McCormack

Since Specialization
Citations

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

Fields of papers citing papers by Valerie McCormack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20252
3 20241
4 20240
5 20241
6 20231
7 20232
8 20235
9 20236
10 202010
11 201748
12 201611
13 201644
14 20152
15 201389
16 201156
17 20107
18 200954
19
Birth characteristics and adult cancer incidence: Swedish cohort of over 11,000 men and women : International Journal of Cancer
20052
20 2003112

About Valerie McCormack

Valerie McCormack is a scholar working on Oncology, Health, Toxicology and Mutagenesis and Statistics, Probability and Uncertainty, having authored 132 papers that have together received 7.4k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (59 papers), Cancer Risks and Factors (23 papers), Colorectal Cancer Screening and Detection (21 papers), Cervical Cancer and HPV Research (20 papers), Digital Radiography and Breast Imaging (19 papers), AI in cancer detection (16 papers), Esophageal Cancer Research and Treatment (15 papers) and Health, Environment, Cognitive Aging (13 papers). The work is most often cited by research in Oncology (3.6k citations), Cancer Research (1.3k citations) and Pulmonary and Respiratory Medicine (2.3k citations). Valerie McCormack has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Isabel dos‐Santos‐Silva, Joachim Schüz, Hyuna Sung, Miranda M Fidler-Benaoudia, Bianca De Stavola, Emily Heer, Andrew Harper, Sarah Vinnicombe, Elima Jedy‐Agba and Clement Adebamowo. Their work appears in journals such as Nature Medicine, Nature Communications and Journal of Clinical Oncology.

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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