Leena Kaikkonen

15 papers receiving 286 citations

Peers

Leena Kaikkonen
Comparison fields: 5 of 72
  • Dermatology 90
  • Infectious Diseases 139
  • Cardiology and Cardiovascular Medicine 54
  • Pediatrics, Perinatology and Child Health 46
  • Endocrine and Autonomic Systems 9
Replace Mitchel J. R. Ruigrok with:
Mitchel J. R. Ruigrok Netherlands
Priya Sellaturay United Kingdom
Hamid Aria Iran
Anny M. S. Cheng United States
Siavash Toosi Iran
Kyung-Sue Shin South Korea
Ghasem Rahmatpour Rokni Iran
Nágela Ghabdan Zanluqui Brazil
Mariacristina Menconi Italy
Denisse Garcia United States
Leena Kaikkonen relative to Mitchel J. R. Ruigrok Netherlands Mitchel J. R. Ruigrok's profile →
Citations per field
00.5×10.8×
Mitchel J. R. Ruigrok · 1×
Citations per year

Countries citing papers authored by Leena Kaikkonen

Since Specialization
Citations

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

Fields of papers citing papers by Leena Kaikkonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 199970
2 200568
3 201130
4 202223
5 201320
6 200116
7 201116
8 201515
9 201414
10 20249
11 20157
12
p38 mitogen-activated protein kinase and transcription factor GATA-4 in the regulation of cardiomyocyte function
20147
13 20165
14 20104
15 20241
16 20191

About Leena Kaikkonen

Leena Kaikkonen is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Infectious Diseases and Dermatology, having authored 16 papers that have together received 306 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (6 papers), Signaling Pathways in Disease (4 papers), Parvovirus B19 Infection Studies (3 papers), Dermatological and COVID-19 studies (3 papers), Apelin-related biomedical research (2 papers), Prenatal Screening and Diagnostics (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Dermatology (90 citations), Infectious Diseases (139 citations), Cardiology and Cardiovascular Medicine (54 citations), Pediatrics, Perinatology and Child Health (46 citations) and Endocrine and Autonomic Systems (9 citations). Leena Kaikkonen has collaborated with scholars based in Finland, Hungary and United States. Frequent co-authors include Maria Söderlund‐Venermo, Klaus Hedman, Lea Hedman, Hilkka Lankinen, Christian Oker‐Blom, Kati Hokynar, Heikki Ruskoaho, Risto Kerkelä, Elina Koivisto and Gunnar Schalasta. Their work appears in journals such as PLoS ONE, Nature Biomedical Engineering, American Journal of Physiology-Cell Physiology, Journal of Molecular and Cellular Cardiology and Journal of Biological Chemistry.

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.

Explore authors with similar magnitude of impact