Raisa Serpi

9.1k citations
47 papers · 1.1k · h-index 20

Impact in

Papers in

Raisa Serpi

46 papers receiving 1.1k citations

Peers

Raisa Serpi
Comparison fields: 5 of 101
  • Cancer Research 319
  • Cardiology and Cardiovascular Medicine 316
  • Molecular Biology 521
  • Physiology 169
  • Genetics 54
Replace Krystyna Teichert-Kuliszewska with:
Krystyna Teichert-Kuliszewska Canada
Zhengyu Luo United States
Tamara C. Murphy United States
Anna Ratajska Poland
Jianru Shi United States
Hana Totary-Jain United States
Morgan Salmon United States
Donato Santovito Germany
Virginija Jazbutyte Germany
Masatoshi Kuroki Japan
Raisa Serpi relative to Krystyna Teichert-Kuliszewska Canada Krystyna Teichert-Kuliszewska's profile →
Citations per field
00.5×5.0×
Krystyna Teichert-Kuliszewska · 1×
Citations per year

Countries citing papers authored by Raisa Serpi

Since Specialization
Citations

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

Fields of papers citing papers by Raisa Serpi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014100
2 201675
3 201468
4 201059
5 200654
6 201053
7 201448
8 201348
9 201745
10 201144
11 201242
12 201137
13 202135
14 201830
15 199927
16 201623
17 201823
18 201922
19 201121
20 201119

About Raisa Serpi

Raisa Serpi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Physiology and Surgery, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (15 papers), Cancer, Hypoxia, and Metabolism (15 papers), Adipose Tissue and Metabolism (9 papers), High Altitude and Hypoxia (7 papers), Congenital heart defects research (6 papers), Signaling Pathways in Disease (5 papers), Cardiovascular Function and Risk Factors (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). The work is most often cited by research in Cancer Research (319 citations), Cardiology and Cardiovascular Medicine (316 citations), Molecular Biology (521 citations), Physiology (169 citations) and Genetics (54 citations). Raisa Serpi has collaborated with scholars based in Finland, United States and Hungary. Frequent co-authors include Heikki Ruskoaho, Jaana Rysä, Peppi Koivunen, Olli Tenhunen, Johanna Myllyharju, Elitsa Y. Dimova, Zoltán Szabó, Gail Walkinshaw, Kari I. Kivirikko and Risto Kerkelä. Their work appears in journals such as Scientific Reports, The FASEB Journal, PLoS ONE, Journal of Molecular and Cellular Cardiology and Clinical and Translational Science.

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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