Marja Hietarinta

782 citations
15 papers · 613 · h-index 9

Impact in

Papers in

Marja Hietarinta

15 papers receiving 566 citations

Peers

Marja Hietarinta
Comparison fields: 5 of 50
  • Epidemiology 281
  • Pathology and Forensic Medicine 137
  • Rheumatology 85
  • Urology 32
  • Neurology 25
Replace Jennie T. Clarke with:
Jennie T. Clarke United States
Luíz Fernando Bleggi Torres Brazil
R. Wyburn-Mason United Kingdom
Denis Goldschmidt Belgium
K. Uma Chaturvedi India
Masaomi Yamasaki Japan
Sze Hon Chua Singapore
Sevim Barbasso Helmers Sweden
B. A. Kazzaz United Kingdom
Mohamed Riadh Ben Slama Tunisia
Marja Hietarinta relative to Jennie T. Clarke United States Jennie T. Clarke's profile →
Citations per field
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Jennie T. Clarke · 1×
Citations per year

Countries citing papers authored by Marja Hietarinta

Since Specialization
Citations

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

Fields of papers citing papers by Marja Hietarinta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2001334
2 199369
3 199850
4 200038
5 199428
6 199623
7 199418
8 199610
9 200610
10 19938
11 20098
12
A patient with systemic sclerosis, severe cytopenias and the simultaneous presence of anti-centromere and anti-SCL-70-antibodies.
19936
13 19895
14 19943
15 20003

About Marja Hietarinta

Marja Hietarinta is a scholar working on Pathology and Forensic Medicine, Rheumatology, Epidemiology, Parasitology and Urology, having authored 15 papers that have together received 613 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (8 papers), Systemic Lupus Erythematosus Research (3 papers), Inflammatory Myopathies and Dermatomyositis (2 papers), Vector-borne infectious diseases (1 paper), Viral Infections and Immunology Research (1 paper), Urinary Bladder and Prostate Research (1 paper), Infective Endocarditis Diagnosis and Management (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Epidemiology (281 citations), Pathology and Forensic Medicine (137 citations), Rheumatology (85 citations), Urology (32 citations) and Neurology (25 citations). Marja Hietarinta has collaborated with scholars based in Finland, United Kingdom and Switzerland. Frequent co-authors include Aki Hietaharju, Olli Lassila, Pascale Roux-Lombard, Hans Peter Seelig, Agneta Taune Wikman, Gerður Gröndal, Jiří Vencovský, Borut Božič, David Alan Isenberg and R M Brouwer. Their work appears in journals such as Lara D. Veeken, Scandinavian Journal of Rheumatology, International Urogynecology Journal, Annals of the Rheumatic Diseases and Acta Neurologica Scandinavica.

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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