M Wallis

768 citations
31 papers · 505 indexed · h-index 13

Impact in

  • Oncology top 10%
    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
    • Cancer Risks and Factors
    • Breast Cancer Treatment Studies

Papers in

M Wallis

30 papers receiving 476 citations

Peers

M Wallis
Comparison fields: 5 of 61
  • Oncology 249
  • Cancer Research 137
  • Pathology and Forensic Medicine 133
  • Artificial Intelligence 193
  • Radiology, Nuclear Medicine and Imaging 117
Replace Todd E. Wilson with:
Todd E. Wilson United States
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Volker Duda Germany
Paula B. Gordon Canada
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M Wallis relative to Todd E. Wilson United States Todd E. Wilson's profile →
Citations per field
00.5×
Todd E. Wilson · 1×
Citations per year

Countries citing papers authored by M Wallis

Since Specialization
Citations

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

Fields of papers citing papers by M Wallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199171
2 199459
3 199951
4 199732
5 200129
6 200925
7 201224
8 201123
9 199721
10 201020
11 199319
12 199819
13 201312
14 198911
15 201411
16 200810
17 19999
18 20188
19 20178
20 20198

About M Wallis

M Wallis is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Dermatology and Artificial Intelligence, having authored 31 papers that have together received 505 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (18 papers), Breast Lesions and Carcinomas (10 papers), AI in cancer detection (8 papers), Breast Cancer Treatment Studies (7 papers), Digital Radiography and Breast Imaging (6 papers), Cancer Risks and Factors (6 papers), Colorectal Cancer Screening and Detection (5 papers) and Breast Implant and Reconstruction (3 papers). The work is most often cited by research in Oncology (249 citations), Cancer Research (137 citations), Pathology and Forensic Medicine (133 citations), Artificial Intelligence (193 citations) and Radiology, Nuclear Medicine and Imaging (117 citations). M Wallis has collaborated with scholars based in United Kingdom, Ireland and Taiwan. Frequent co-authors include R G Blanks, Kenneth C. Young, Sue Moss, Michael T. Walsh, Rosalind Given-Wilson, P.D. Britton, Sylvia O’Keeffe, KM Taylor, M. Gaskarth and S. Barter. Their work appears in journals such as Clinical Radiology, Journal of Medical Screening, British Journal of Radiology, Health Technology Assessment and British Journal of Cancer.

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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