Verna Mai

908 citations
28 papers · 680 · h-index 17

Impact in

  • Oncology top 5%
    • Colorectal Cancer Screening and Detection
    • Global Cancer Incidence and Screening
    • Cervical Cancer and HPV Research

Papers in

    • Global Cancer Incidence and Screening 13
    • Colorectal Cancer Screening and Detection 13
    • Cervical Cancer and HPV Research 11

Verna Mai

28 papers receiving 649 citations

Peers

Verna Mai
Comparison fields: 5 of 56
  • Oncology 394
  • Epidemiology 189
  • Cancer Research 49
  • Pathology and Forensic Medicine 44
  • Pulmonary and Respiratory Medicine 59
Replace Mette Bach Larsen with:
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Verna Mai relative to Mette Bach Larsen Denmark Mette Bach Larsen's profile →
Citations per field
00.5×1.5×2.2×
Mette Bach Larsen · 1×
Citations per year

Countries citing papers authored by Verna Mai

Since Specialization
Citations

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

Fields of papers citing papers by Verna Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015102
2 200782
3 200657
4 200836
5 200535
6 200335
7 200734
8 201331
9 200929
10 200826
11 200724
12 200822
13 200819
14 201218
15 200518
16 200416
17 200716
18 200911
19
Fecal occult blood testing: people in Ontario are unaware of it and not ready for it.
200910
20 20109

About Verna Mai

Verna Mai is a scholar working on Oncology, Epidemiology, General Health Professions, Pathology and Forensic Medicine and Health, having authored 28 papers that have together received 680 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (13 papers), Colorectal Cancer Screening and Detection (13 papers), Cervical Cancer and HPV Research (11 papers), Primary Care and Health Outcomes (2 papers), Medical Coding and Health Information (1 paper), Health disparities and outcomes (1 paper), Breast Cancer Treatment Studies (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Oncology (394 citations), Epidemiology (189 citations), Cancer Research (49 citations), Pathology and Forensic Medicine (44 citations) and Pulmonary and Respiratory Medicine (59 citations). Verna Mai has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Anna M. Chiarelli, Donna E. Stewart, Paula C. Barata, Lawrence Paszat, Anna R. Gagliardi, Jean‐Luc Bulliard, Carlo Senore, Linda Rabeneck, Carrie N. Klabunde and Johannes Blom. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Journal of Obstetrics and Gynaecology Canada, Canadian Journal of Public Health, European Journal of Cancer Prevention and Preventive Medicine.

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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