O. Saijonmaa

1.3k citations
17 papers · 906 · h-index 11

Impact in

Papers in

O. Saijonmaa

16 papers receiving 873 citations

Peers

O. Saijonmaa
Comparison fields: 5 of 94
  • Aging 64
  • Cardiology and Cardiovascular Medicine 317
  • Physiology 291
  • Endocrinology, Diabetes and Metabolism 174
  • Hematology 75
Replace E Zukowska-Szczechowska with:
E Zukowska-Szczechowska Poland
Nancy Hua United States
Marina C. Muñoz Argentina
Concha F. García‐Prieto Spain
Manish S. Bharadwaj United States
Lenka Rossmeislová Czechia
Irina Al‐Khairi Kuwait
M Fujishima Japan
Simona Giovagnetti Italy
Sofia Chiatamone Ranieri Italy
O. Saijonmaa relative to E Zukowska-Szczechowska Poland E Zukowska-Szczechowska's profile →
Citations per field
00.5×2.7×
E Zukowska-Szczechowska · 1×
Citations per year

Countries citing papers authored by O. Saijonmaa

Since Specialization
Citations

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

Fields of papers citing papers by O. Saijonmaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2008432
2 200984
3 201183
4 198961
5 201153
6 199852
7 199130
8 199823
9 198721
10 199321
11 199414
12 19929
13 19958
14 19957
15
Raised plasma endothelin-1 concentration in patients with nephropathia epidemica.
19937
16
Telomere Length and Age-Related Macular Degeneration
20091
17 20240

About O. Saijonmaa

O. Saijonmaa is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Molecular Biology, Hematology and Nephrology, having authored 17 papers that have together received 906 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), Renin-Angiotensin System Studies (4 papers), Telomeres, Telomerase, and Senescence (4 papers), Heart Failure Treatment and Management (2 papers), Iron Metabolism and Disorders (2 papers), Skin Protection and Aging (2 papers), Acute Kidney Injury Research (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Aging (64 citations), Cardiology and Cardiovascular Medicine (317 citations), Physiology (291 citations), Endocrinology, Diabetes and Metabolism (174 citations) and Hematology (75 citations). O. Saijonmaa has collaborated with scholars based in Finland, Sweden and Hungary. Frequent co-authors include Frej Fyhrquist, F Fyhrquist, Carol Forsblom, Per‐Henrik Groop, Martti Färkkilâ, Mikko Kallela, Kaisu Pitkälä, Arto Y. Strandberg, Reijo S. Tilvis and Timo Strandberg. Their work appears in journals such as Journal of Internal Medicine, Placenta, British Journal of Anaesthesia, Cardiovascular Research and Cephalalgia.

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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