M. Pamilo

866 citations
40 papers · 688 indexed · h-index 13

Impact in

Papers in

    • Digital Radiography and Breast Imaging 8
    • Gallbladder and Bile Duct Disorders 5
    • Global Cancer Incidence and Screening 11
    • Colorectal Cancer Screening and Detection 4

M. Pamilo

40 papers receiving 637 citations

Peers

M. Pamilo
Comparison fields: 5 of 78
  • Cancer Research 220
  • Pathology and Forensic Medicine 223
  • Oncology 295
  • Pulmonary and Respiratory Medicine 175
  • Surgery 219
Replace Kathryn Evers with:
Kathryn Evers United States
Eva Rubin United States
Olga M. B. Gatewood United States
G C Hansen United States
Susan Ackerman United States
M. Soiva Finland
Abid Irshad United States
Michael E. Flisak United States
Michelle Melany United States
S H Ominsky United States
M. Pamilo relative to Kathryn Evers United States Kathryn Evers's profile →
Citations per field
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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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989131
2 199398
3 200472
4 199656
5 199132
6 198730
7 198730
8 199627
9 198620
10 199018
11 198815
12 200713
13 201012
14 199112
15 199811
16 200610
17 20099
18 19848
19 19868
20 20057

About M. Pamilo

M. Pamilo is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence, Surgery and Pathology and Forensic Medicine, having authored 40 papers that have together received 688 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (11 papers), AI in cancer detection (9 papers), Digital Radiography and Breast Imaging (8 papers), Breast Cancer Treatment Studies (6 papers), Gallbladder and Bile Duct Disorders (5 papers), Colorectal Cancer Screening and Detection (4 papers), Breast Lesions and Carcinomas (4 papers) and Pediatric Urology and Nephrology Studies (4 papers). The work is most often cited by research in Cancer Research (220 citations), Pathology and Forensic Medicine (223 citations), Oncology (295 citations), Pulmonary and Respiratory Medicine (175 citations) and Surgery (219 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. Taavitsainen, M. Pãivänsalo, Jouko Lönnqvist, Tuomas Eerola, Arja R. Aro and P. Hekali. Their work appears in journals such as Acta Radiologica, Clinical Radiology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Acta Oncologica and European 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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