H. Hämäläinen

1.6k total citations
34 papers, 1.2k citations indexed

About

H. Hämäläinen is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Epidemiology. According to data from OpenAlex, H. Hämäläinen has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 8 papers in Physiology and 6 papers in Epidemiology. Recurrent topics in H. Hämäläinen's work include Cardiac pacing and defibrillation studies (7 papers), Adipose Tissue and Metabolism (6 papers) and Cardiac Imaging and Diagnostics (5 papers). H. Hämäläinen is often cited by papers focused on Cardiac pacing and defibrillation studies (7 papers), Adipose Tissue and Metabolism (6 papers) and Cardiac Imaging and Diagnostics (5 papers). H. Hämäläinen collaborates with scholars based in Finland, United States and Switzerland. H. Hämäläinen's 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 and has published in prestigious journals such as Diabetes, European Heart Journal and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

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 Luiz Guilherme Kraemer‐Aguiar with:
Luiz Guilherme Kraemer‐Aguiar Brazil
Torbjörn Lindström Sweden
Christine Maric‐Bilkan United States
Guillaume Walther France
MaryAnn Banerji United States
Wasaku Koyama Japan
Naoyuki Takashima Japan
Guido Salvetti Italy
Hisako Yanagi Japan
Robert M. Rosa United States
Luiz Guilherme Kraemer‐Aguiar Brazil View profile →
Citations per field, relative to H. Hämäläinen
H. Hämäläinen · 1×
Citations per year, relative to H. Hämäläinen
H. Hämäläinen · 1×

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
# Work Indexed 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

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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