M. Pamilo

870 citations
41 papers · 729 · h-index 14

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 10%
    • Global Cancer Incidence and Screening
    • Lymphatic System and Diseases
    • Colorectal Cancer Screening and Detection

Papers in

M. Pamilo

40 papers receiving 664 citations

Peers

M. Pamilo
Comparison fields: 5 of 76
  • Cancer Research 184
  • Oncology 251
  • Pathology and Forensic Medicine 161
  • Pulmonary and Respiratory Medicine 165
  • Surgery 166
Replace Kathryn Evers with:
Kathryn Evers United States
Eva Rubin United States
M. Soiva Finland
Olga M. B. Gatewood United States
Susan Ackerman United States
Z Kaufman Israel
G C Hansen United States
Abid Irshad United States
S H Ominsky United States
Mahesh K. Shetty United States
M. Pamilo relative to Kathryn Evers United States Kathryn Evers's profile →
Citations per field
00.5×1.5×
Kathryn Evers · 1×
Citations per year

Countries citing papers authored by M. Pamilo

Since Specialization
Citations

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

Fields of papers citing papers by M. Pamilo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989136
2 1993102
3 200478
4 199658
5 198734
6 198733
7 199133
8 199628
9 198620
10 199019
11 198817
12 201013
13 200713
14 199113
15 199811
16 200610
17 19869
18 20099
19 19848
20 20057

About M. Pamilo

M. Pamilo is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Pathology and Forensic Medicine and Artificial Intelligence, having authored 41 papers that have together received 729 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (9 papers), Digital Radiography and Breast Imaging (7 papers), AI in cancer detection (6 papers), Breast Cancer Treatment Studies (5 papers), Gallbladder and Bile Duct Disorders (5 papers), Pediatric Urology and Nephrology Studies (4 papers), Breast Lesions and Carcinomas (4 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Cancer Research (184 citations), Oncology (251 citations), Pathology and Forensic Medicine (161 citations), Pulmonary and Respiratory Medicine (165 citations) and Surgery (166 citations). M. Pamilo has collaborated with scholars based in Finland, Uganda and Germany. Frequent co-authors include M. Soiva, I. Suramo, Marjut Leidenius, K.A.J. von Smitten, M. Pãivänsalo, M. Taavitsainen, Jouko Lönnqvist, Arja R. Aro, Tuomas Eerola and L. Kivisaari. Their work appears in journals such as Acta Radiologica, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Clinical Radiology, Acta Oncologica and British Journal of Radiology.

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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