M. Apaja‐Sarkkinen

1.4k citations
57 papers · 1.1k indexed · h-index 19

M. Apaja‐Sarkkinen

55 papers receiving 1.0k citations

Peers

M. Apaja‐Sarkkinen
Comparison fields: 5 of 79
  • Reproductive Medicine 188
  • Obstetrics and Gynecology 166
  • Cancer Research 234
  • Pathology and Forensic Medicine 253
  • Immunology and Allergy 78
Replace Shigeo Aizawa with:
Shigeo Aizawa Japan
Alan B. P. Ng United States
Thèrése Bocklage United States
Berit Hølund Denmark
Eisei Ishikawa Japan
Jorma Mattila Finland
Yoshiharu Ohaki Japan
Zhengping Zhuang United States
Douglas W. Franquemont United States
Gregory F. Sterrett Australia
M. Apaja‐Sarkkinen relative to Shigeo Aizawa Japan Shigeo Aizawa's profile →
Citations per field
00.5×2.9×
Shigeo Aizawa · 1×
Citations per year

Countries citing papers authored by M. Apaja‐Sarkkinen

Since Specialization
Citations

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

Fields of papers citing papers by M. Apaja‐Sarkkinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200813
2 200737
3 200617
4 200322
5 19952
6 199568
7 1995100
8 199313
9 199327
10 19933
11 199231
12 199121
13 199113
14
Ultrasound-guided aspiration cytology of renal expansions.
19905
15 19902
16 198810
17 198823
18 19883
19 198811
20 19883

About M. Apaja‐Sarkkinen

M. Apaja‐Sarkkinen is a scholar working on Immunology and Allergy, Pathology and Forensic Medicine and Cancer Research, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (9 papers), Breast Cancer Treatment Studies (8 papers), Breast Lesions and Carcinomas (8 papers), Lymphoma Diagnosis and Treatment (7 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers), Lung Cancer Diagnosis and Treatment (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Cancer and Skin Lesions (4 papers). The work is most often cited by research in Reproductive Medicine (188 citations), Obstetrics and Gynecology (166 citations) and Cancer Research (234 citations). M. Apaja‐Sarkkinen has collaborated with scholars based in Finland and Denmark. Frequent co-authors include Antti Kauppila, Guillermo Blanco, Tapani Tikkakoski, Helena Autio‐Harmainen, Timo Laatikainen, Tuuli Rissanen, Tiina Laatikainen, Pentti J. Taskinen, M. Alavaikko and M. Pãivänsalo. Their work appears in journals such as Acta Radiologica, Gynecologic Oncology, Histopathology, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren and International 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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