S Parviainen

15 papers receiving 255 citations

Peers

S Parviainen
Comparison fields: 5 of 61
  • Molecular Biology 94
  • Physiology 74
  • Endocrinology, Diabetes and Metabolism 53
  • Complementary and alternative medicine 50
  • Cell Biology 46
Replace I Nagata with:
I Nagata Japan
Martin D. Jaffe United States
Ida U Njerve Norway
Barbara A. Berko United States
G Perpignano Italy
D. P. Rooney United Kingdom
K. Tsuchihashi Japan
R. C. A. Sengers Netherlands
Shulamit Lerner United States
D. Gareth Jones United States
S Parviainen relative to I Nagata Japan I Nagata's profile →
Citations per field
00.5×1.5×2.4×
I Nagata · 1×
Citations per year

Countries citing papers authored by S Parviainen

Since Specialization
Citations

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

Fields of papers citing papers by S Parviainen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Parviainen

This figure shows the co-authorship network connecting the top 25 collaborators of S Parviainen. A scholar is included among the top collaborators of S Parviainen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with S Parviainen. S Parviainen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 90
2 122
3 1
4 1
5 4
6 7
7 1
8
[Eclampsia, a hyperfunctional adaptation disease according to Selye].
1
9 1
10 17
11
Effect of venous congestion on plasma protein fractions in toxaemia of late pregnancy; electrophoretic studies.
2
12 5
13
[ACTH and cortisone in pregnancy toxemias].
1
14
Stroboscopic studies of visual sensitivity in toxaemia of late pregnancy.
1
15 3
16 4
17
On the effect of cortisone in toxaemia of pregnancy; a study of blood pressure, sodium, potassium and protein fractions in blood and urine.
4
18 7
19 6

About S Parviainen

S Parviainen is a scholar working on Critical Care and Intensive Care Medicine, Genetics and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 278 indexed citations. Recurring topics across this work include Electrolyte and hormonal disorders (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers) and Adrenal Hormones and Disorders (2 papers). The work is most often cited by research in Complementary and alternative medicine (50 citations), Endocrinology, Diabetes and Metabolism (53 citations) and Physiology (74 citations). S Parviainen has collaborated with scholars based in Finland, United Kingdom and United States. Frequent co-authors include Johan G. Eriksson, Simo Taimela, Urho M. Kujala, Karin Jensevik Eriksson, Juha Peltonen, Tuomo Nikula, Juhani Knuuti, Sirpa Jalkanen, L. Nieminen and Jukka O. Hiltunen. Their work appears in journals such as Medicine & Science in Sports & Exercise, American Journal Of Pathology and European Journal of Endocrinology.

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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2026