Måns Åkerman

1.4k citations
17 papers · 1.0k · h-index 16

Impact in

Papers in

Måns Åkerman

17 papers receiving 997 citations

Peers

Måns Åkerman
Comparison fields: 5 of 57
  • Pulmonary and Respiratory Medicine 727
  • Rheumatology 311
  • Oncology 382
  • Pathology and Forensic Medicine 251
  • Cardiology and Cardiovascular Medicine 249
Replace Nguyen Binh Bui with:
Nguyen Binh Bui France
Adrienne Cacavio United States
Alessandra F. Nascimento United States
B M Shmookler United States
Emely Möller Sweden
J.‐F. Goussot France
Luu Tran United States
Ch. Albus‐Lutter Netherlands
Annikka Weissferdt United States
S. Ferrari Italy
Måns Åkerman relative to Nguyen Binh Bui France Nguyen Binh Bui's profile →
Citations per field
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Citations per year

Countries citing papers authored by Måns Åkerman

Since Specialization
Citations

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

Fields of papers citing papers by Måns Åkerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Correlation between clinicopathological features and karyotype in lipomatous tumors. A report of 178 cases from the Chromosomes and Morphology (CHAMP) Collaborative Study Group.
1996269
2 199091
3 199086
4 200081
5 200566
6 199364
7 200364
8
Merkel cell carcinoma: management of primary, recurrent and metastatic disease. A clinicopathological study of 17 patients.
198954
9 200343
10 198841
11 200140
12 200432
13 200826
14 199922
15 198821
16 198717
17 200810

About Måns Åkerman

Måns Åkerman is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cardiology and Cardiovascular Medicine, Rheumatology and Pathology and Forensic Medicine, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (12 papers), Vascular Tumors and Angiosarcomas (7 papers), Cardiac tumors and thrombi (4 papers), Bone Tumor Diagnosis and Treatments (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Cancer Genomics and Diagnostics (2 papers), Soft tissue tumor case studies (2 papers) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (727 citations), Rheumatology (311 citations), Oncology (382 citations), Pathology and Forensic Medicine (251 citations) and Cardiology and Cardiovascular Medicine (249 citations). Måns Åkerman has collaborated with scholars based in Sweden, Norway and Finland. Frequent co-authors include Anders Rydholm, Fredrik Mertens, Helena Willén, Felix Mitelman, Thor Alvegård, Nils Mandahl, Henryk A. Domanski, Pelle Gustafson, Raf Sciot and C.D.M. FLETCHER. Their work appears in journals such as Cancer, European Journal of Cancer, Journal of Clinical Oncology, Cytopathology and European Journal Of Haematology.

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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