Eeva Sievi

498 citations
18 papers · 416 · h-index 11

Impact in

    • Fungal and yeast genetics research
    • Glycosylation and Glycoproteins Research
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

Eeva Sievi

18 papers receiving 392 citations

Peers

Eeva Sievi
Comparison fields: 5 of 74
  • Molecular Biology 231
  • Cell Biology 55
  • Physiology 73
  • Biochemistry 21
  • Pharmaceutical Science 17
Replace Yeon Su Jeong with:
Yeon Su Jeong South Korea
Sisi Liu China
Mi‐Young Park South Korea
Marja Hollemans Netherlands
Fernanda Antunes Brazil
Hui‐Seong Kim South Korea
Mateus Prates Mori Brazil
Maizaton Atmadini Abdullah Malaysia
Pawin Pongkorpsakol Thailand
S. Choudhary United States
Eeva Sievi relative to Yeon Su Jeong South Korea Yeon Su Jeong's profile →
Citations per field
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Yeon Su Jeong · 1×
Citations per year

Countries citing papers authored by Eeva Sievi

Since Specialization
Citations

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

Fields of papers citing papers by Eeva Sievi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1999149
2 199638
3 199831
4 200130
5
Lactobacillus rhamnosus GG shows antioxidative properties in vascular endothelial cell culture
199725
6 199923
7
Nitric oxide as a regulator of prostacyclin synthesis in cultured rat heart endothelial cells.
199716
8 199816
9 199815
10 199612
11 200411
12 200311
13 199410
14
Clinical pharmacology of eicosanoids, nicotine induced changes in man.
20009
15 19988
16 19956
17 19964
18 19992

About Eeva Sievi

Eeva Sievi is a scholar working on Biochemistry, Physiology, Endocrinology, Diabetes and Metabolism, Cell Biology and Molecular Biology, having authored 18 papers that have together received 416 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Glycosylation and Glycoproteins Research (2 papers), Renin-Angiotensin System Studies (2 papers), Synthesis and Biological Evaluation (2 papers), Fungal and yeast genetics research (2 papers) and Nicotinic Acetylcholine Receptors Study (1 paper). The work is most often cited by research in Molecular Biology (231 citations), Cell Biology (55 citations), Physiology (73 citations), Biochemistry (21 citations) and Pharmaceutical Science (17 citations). Eeva Sievi has collaborated with scholars based in Finland, Hungary and Sweden. Frequent co-authors include Marja Makarow, Johan C. Kapteyn, Piet van Egmond, Herman van den Ende, Heikki Vapaatalo, Frans M. Klis, Tuula A. Lähteenmäki, Asko Riutta, Taina Suntio and Jyrki Vanakoski. Their work appears in journals such as Prostaglandins, FEMS Yeast Research, FEBS Letters, Journal of Cardiovascular Pharmacology and Journal of Pharmacy and Pharmacology.

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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