M Wallis

776 citations
31 papers · 533 · h-index 13

Impact in

    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
    • Breast Cancer Treatment Studies

Papers in

M Wallis

30 papers receiving 491 citations

Peers

M Wallis
Comparison fields: 5 of 58
  • Oncology 195
  • Cancer Research 101
  • Pathology and Forensic Medicine 99
  • Radiology, Nuclear Medicine and Imaging 97
  • Artificial Intelligence 157
Replace Selwyn Strano with:
Selwyn Strano Israel
Todd E. Wilson United States
John G. Pearce United States
Rasha Kamal Egypt
David Beijerinck Netherlands
Volker Duda Germany
Nicole Kay United States
L.J. Yeoman United Kingdom
Marta Román Spain
Michele Telegrafo Italy
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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 199175
2 199462
3 199953
4 199736
5 200129
6 201226
7 200926
8 199724
9 201123
10 201021
11 199320
12 199819
13 201313
14 201411
15 198911
16 200810
17 19999
18 20179
19 20199
20 20199

About M Wallis

M Wallis is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Artificial Intelligence and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 533 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (14 papers), Breast Lesions and Carcinomas (7 papers), Breast Cancer Treatment Studies (6 papers), AI in cancer detection (5 papers), Digital Radiography and Breast Imaging (4 papers), Childhood Cancer Survivors' Quality of Life (2 papers), Cancer Risks and Factors (2 papers) and Colorectal Cancer Screening and Detection (2 papers). The work is most often cited by research in Oncology (195 citations), Cancer Research (101 citations), Pathology and Forensic Medicine (99 citations), Radiology, Nuclear Medicine and Imaging (97 citations) and Artificial Intelligence (157 citations). M Wallis has collaborated with scholars based in United Kingdom, Ireland and Switzerland. Frequent co-authors include R G Blanks, Kenneth C. Young, Sue Moss, Michael T. Walsh, Rosalind Given-Wilson, P.D. Britton, KM Taylor, Sylvia O’Keeffe, S. Barter and M. Gaskarth. Their work appears in journals such as Clinical Radiology, British Journal of Radiology, Journal of Medical Screening, Breast Cancer Research and The Breast.

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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