H. Hämäläinen

32 papers receiving 1.1k citations

Peers

H. Hämäläinen
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 335
  • Cardiology and Cardiovascular Medicine 321
  • Physiology 320
  • Epidemiology 179
  • Molecular Biology 151
Replace Arja Nenonen with:
Arja Nenonen Finland
Jean‐Luc Ardilouze Canada
Luiz Guilherme Kraemer‐Aguiar Brazil
Kara L. Marlatt United States
Tuomas O. Kilpeläinen Denmark
Rebecca E. Rudolph United States
John T. Devlin United States
Barbara Ernst Switzerland
Steven Kritchevsky United States
Paola Lucidi Italy
H. Hämäläinen relative to Arja Nenonen Finland Arja Nenonen's profile →
Citations per field
00.5×1.5×
Arja Nenonen · 1×
Citations per year

Countries citing papers authored by H. Hämäläinen

Since Specialization
Citations

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

Fields of papers citing papers by H. Hämäläinen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Hämäläinen

This figure shows the co-authorship network connecting the top 25 collaborators of H. Hämäläinen. A scholar is included among the top collaborators of H. Hämäläinen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H. Hämäläinen. H. Hämäläinen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 7
4 17
5 12
6
Common variants in beta2- and beta3-adrenergic receptor genes and uncoupling protein 1 as predictors of the risk for type 2 diabetes and body weight changes
0
7 38
8 35
9 37
10 31
11 33
12 3
13 82
14 78
15 2
16 73
17 9
18 60
19 33
20 32

About H. Hämäläinen

H. Hämäläinen is a scholar working on Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems and Physiology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (7 papers), Adipose Tissue and Metabolism (6 papers) and Cardiac Imaging and Diagnostics (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (335 citations), Endocrine and Autonomic Systems (123 citations) and Cardiology and Cardiovascular Medicine (321 citations). H. Hämäläinen has collaborated with scholars based in Finland, United States and Switzerland. Frequent co-authors include V. Kallio, Matti Uusitupa, Johan G. Eriksson, Pirjo Ilanne‐Parikka, Sirkka Keinänen‐Kiukaanniemi, Jaana Lindström, L. -R. Knuts, Jaakko Tuomilehto, T. T. Valle and Tapani Rönnemaa. Their work appears in journals such as Diabetes, European Heart Journal and Journal of Pharmacology and Experimental Therapeutics.

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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