M. Hietarinta

779 citations
13 papers · 571 · h-index 9

Impact in

    • Eosinophilic Disorders and Syndromes
    • Systemic Lupus Erythematosus Research
  • Epidemiology top 10%
    • Inflammatory Myopathies and Dermatomyositis

Papers in

M. Hietarinta

13 papers receiving 537 citations

Peers

M. Hietarinta
Comparison fields: 5 of 48
  • Rheumatology 161
  • Epidemiology 321
  • Pathology and Forensic Medicine 166
  • Dermatology 75
  • Urology 23
Replace Pascasio Aguirre with:
Pascasio Aguirre United States
S Boucheron France
F. Sarrot-Reynauld France
Amy Theos United States
Hisae Ichida Japan
Carmen Fonseca United Kingdom
Jean‐Luc Charuel France
H. Ehrfeld Germany
A. Al Saadi United States
Christopher Marguerie United Kingdom
M. Hietarinta relative to Pascasio Aguirre United States Pascasio Aguirre's profile →
Citations per field
00.5×2.9×
Pascasio Aguirre · 1×
Citations per year

Countries citing papers authored by M. Hietarinta

Since Specialization
Citations

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

Fields of papers citing papers by M. Hietarinta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2001312
2 199364
3 199850
4 200039
5 199428
6 199623
7 199417
8 200610
9 19938
10 20098
11
A patient with systemic sclerosis, severe cytopenias and the simultaneous presence of anti-centromere and anti-SCL-70-antibodies.
19936
12 20003
13 19893

About M. Hietarinta

M. Hietarinta is a scholar working on Pathology and Forensic Medicine, Epidemiology, Dermatology, Immunology and Rheumatology, having authored 13 papers that have together received 571 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (8 papers), Inflammatory Myopathies and Dermatomyositis (6 papers), Dermatologic Treatments and Research (2 papers), Skin Diseases and Diabetes (2 papers), Mast cells and histamine (2 papers), Poxvirus research and outbreaks (1 paper), Liver Diseases and Immunity (1 paper) and Salivary Gland Disorders and Functions (1 paper). The work is most often cited by research in Rheumatology (161 citations), Epidemiology (321 citations), Pathology and Forensic Medicine (166 citations), Dermatology (75 citations) and Urology (23 citations). M. Hietarinta has collaborated with scholars based in Finland, Netherlands and Switzerland. Frequent co-authors include Aki Hietaharju, Olli Lassila, G.J.D. Hengstman, Anna Ghirardello, W.T.M. Vree Egberts, J. R. Kalden, David Isenberg, H. Ehrfeld, P Roux‐Lombard and Baziel G.M. van Engelen. Their work appears in journals such as Lara D. Veeken, Scandinavian Journal of Rheumatology, Journal of Clinical Microbiology, Apmis and Muscle & Nerve.

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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