Åke Hjalmarson

979 total citations
10 papers, 371 citations indexed

About

Åke Hjalmarson is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Åke Hjalmarson has authored 10 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Åke Hjalmarson's work include Heart Failure Treatment and Management (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cardiac Imaging and Diagnostics (3 papers). Åke Hjalmarson is often cited by papers focused on Heart Failure Treatment and Management (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Cardiac Imaging and Diagnostics (3 papers). Åke Hjalmarson collaborates with scholars based in Sweden, Germany and France. Åke Hjalmarson's co-authors include Finn Waagstein, Hans Wedel, John Kjekshus, Björn Fagerberg, John Wikstrand, Sidney Goldstein, W. Schulze, Johan Hoebeke, Elmir Ömerovic and Basetti Madhu and has published in prestigious journals such as Journal of the American College of Cardiology, Endocrinology and Drugs.

In The Last Decade

Åke Hjalmarson

10 papers receiving 357 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Åke Hjalmarson Sweden 6 256 71 64 26 20 10 371
Sherrie Harris United States 10 99 0.4× 34 0.5× 140 2.2× 31 1.2× 14 0.7× 13 376
Sang-Hee Jung South Korea 11 88 0.3× 55 0.8× 61 1.0× 63 2.4× 22 1.1× 13 326
A. Zuccarelli Italy 10 112 0.4× 70 1.0× 170 2.7× 84 3.2× 14 0.7× 14 428
Coimbatore Subramaniam Shanthirani India 5 136 0.5× 18 0.3× 175 2.7× 41 1.6× 38 1.9× 5 375
Han-Jing Fu China 6 57 0.2× 53 0.7× 107 1.7× 24 0.9× 12 0.6× 14 283
Julia Leonhardt Germany 7 147 0.6× 102 1.4× 70 1.1× 34 1.3× 30 1.5× 8 316
Wolfgang Otter Germany 8 176 0.7× 36 0.5× 114 1.8× 39 1.5× 30 1.5× 14 272
Francesca Lanni Italy 9 239 0.9× 52 0.7× 68 1.1× 74 2.8× 24 1.2× 16 331
Liisa‐Maria Voipio‐Pulkki Finland 7 184 0.7× 90 1.3× 20 0.3× 67 2.6× 13 0.7× 12 345
Giuseppe Crescenzi Italy 4 49 0.2× 62 0.9× 119 1.9× 48 1.8× 19 0.9× 5 229

Countries citing papers authored by Åke Hjalmarson

Since Specialization
Citations

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

Fields of papers citing papers by Åke Hjalmarson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Åke Hjalmarson

This figure shows the co-authorship network connecting the top 25 collaborators of Åke Hjalmarson. A scholar is included among the top collaborators of Åke Hjalmarson 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 Åke Hjalmarson. Åke Hjalmarson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Wikstrand, John, Åke Hjalmarson, Finn Waagstein, et al.. (2002). Dose of metoprolol CR/XL and clinical outcomes in patients with heart failure. Journal of the American College of Cardiology. 40(3). 491–498. 221 indexed citations
2.
Fu, Ming, Jan Törnell, W. Schulze, et al.. (2000). Myocardial hypertrophy in transgenic mice overexpressing the bovine growth hormone (bGH) gene. Journal of Internal Medicine. 247(5). 546–552. 16 indexed citations
3.
4.
Bergh, C.‐H., Jörgen Isgaard, Kenneth Caidahl, et al.. (1998). Growth hormone addition for patients with congestive heart failure: a randomized, placebo controlled study with recombinant human growth hormone in patients with congestive heart failure and without growth hormone deficiency. Journal of the American College of Cardiology. 31. 249–249. 2 indexed citations
5.
Fu, Michael, et al.. (1998). Immunohistochemical localization of angiotensin II receptors (AT1) in the heart with anti-peptide antibodies showing a positive chronotropic effect.. PubMed. 6(2). 99–111. 33 indexed citations
6.
7.
Hjalmarson, Åke & Finn Waagstein. (1994). The Role of ??-Blockers in the Treatment of Cardiomyopathy and Ischaemic Heart Failure. Drugs. 47(Supplement 4). 31–40. 28 indexed citations
8.
Herlitz, Johan, Åke Hjalmarson, & B. W. Karlson. (1990). Prognosis during one year for patients with myocardial infarction in relation to the development of q waves: Experiences from the miami trial. Clinical Cardiology. 13(4). 261–264. 3 indexed citations
9.
Bergh, C.‐H., et al.. (1988). Studies on calcium exchange in platelets in human diabetes. European Journal of Clinical Investigation. 18(1). 92–97. 18 indexed citations
10.
Hjalmarson, Åke. (1987). Do Results from Major Clinical Trials Indicate a Change in Management in the Acute Phase of Myocardial Infarction?. Journal of Cardiovascular Pharmacology. 10. S2–8. 2 indexed citations

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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