Kaj Ekström

684 citations
11 papers · 433 · h-index 9

Impact in

Papers in

Kaj Ekström

10 papers receiving 428 citations

Peers

Kaj Ekström
Comparison fields: 5 of 30
  • Physiology 291
  • Cardiology and Cardiovascular Medicine 153
  • Pulmonary and Respiratory Medicine 152
  • Rheumatology 20
  • Surgery 33
Replace Petri Haataja with:
Petri Haataja Finland
Hanna‐Kaisa Nordenswan Finland
Naoya Shirai Japan
N. Naggara France
Adam S. Morgenthau United States
Damien Van Gysel France
Per Mathisen Norway
Roxane Heller-Baan Netherlands
Alois Suessenbacher Austria
Miguel Guerra Portugal
Kaj Ekström relative to Petri Haataja Finland Petri Haataja's profile →
Citations per field
00.5×1.5×
Petri Haataja · 1×
Citations per year

Countries citing papers authored by Kaj Ekström

Since Specialization
Citations

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

Fields of papers citing papers by Kaj Ekström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2019108
2 201879
3 202252
4 201651
5 201639
6 202135
7 201634
8 202022
9 201911
10 20222
11
[Myocardial infarction in a patient free of coronary artery disease].
20160

About Kaj Ekström

Kaj Ekström is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Psychiatry and Mental health, having authored 11 papers that have together received 433 indexed citations. Recurring topics across this work include Sarcoidosis and Beryllium Toxicity Research (6 papers), Viral Infections and Immunology Research (3 papers), Vasculitis and related conditions (2 papers), Neurological Complications and Syndromes (1 paper), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper), Migraine and Headache Studies (1 paper), Takotsubo Cardiomyopathy and Associated Phenomena (1 paper) and Cardiovascular Issues in Pregnancy (1 paper). The work is most often cited by research in Physiology (291 citations), Cardiology and Cardiovascular Medicine (153 citations), Pulmonary and Respiratory Medicine (152 citations), Rheumatology (20 citations) and Surgery (33 citations). Kaj Ekström has collaborated with scholars based in Finland, United States and Canada. Frequent co-authors include Jukka Lehtonen, Markku Kupari, Riina Kandolin, Anne Räisänen‐Sokolowski, Hanna‐Kaisa Nordenswan, Mikko I. Mäyränpää, Tapani Vihinen, Päivi Pietilä‐Effati, Petri Haataja and Kari Kaikkonen. Their work appears in journals such as Circulation Arrhythmia and Electrophysiology, Journal of the American Heart Association, Circulation, JACC Asia and European Heart Journal.

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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