Klas Malmberg

6.0k total citations · 3 hit papers
38 papers, 4.4k citations indexed

About

Klas Malmberg is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Klas Malmberg has authored 38 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Endocrinology, Diabetes and Metabolism, 21 papers in Cardiology and Cardiovascular Medicine and 12 papers in Molecular Biology. Recurrent topics in Klas Malmberg's work include Cardiovascular Function and Risk Factors (16 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (15 papers) and Diabetes Treatment and Management (12 papers). Klas Malmberg is often cited by papers focused on Cardiovascular Function and Risk Factors (16 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (15 papers) and Diabetes Treatment and Management (12 papers). Klas Malmberg collaborates with scholars based in Sweden, Canada and United States. Klas Malmberg's co-authors include Anna Norhammar, Hertzel C. Gerstein, Lars Rydén, Sarah E. Capes, Dereck Hunt, Hans Wedel, Anders Hamsten, Åke Tenerz, Göran Nilsson and Suad Efendić and has published in prestigious journals such as The Lancet, JAMA and Circulation.

In The Last Decade

Klas Malmberg

37 papers receiving 4.1k citations

Hit Papers

Stress Hyperglycemia and Prognosis of Stroke in Nondiabet... 1999 2026 2008 2017 2001 2002 1999 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klas Malmberg Sweden 23 2.9k 1.6k 1.1k 772 524 38 4.4k
Sarah E. Capes Canada 9 2.3k 0.8× 856 0.5× 1.0k 1.0× 398 0.5× 292 0.6× 10 3.3k
Emanuela Orsi Italy 33 1.7k 0.6× 452 0.3× 604 0.6× 358 0.5× 471 0.9× 94 3.1k
Daniel Gordin Finland 31 1.0k 0.3× 849 0.5× 444 0.4× 304 0.4× 293 0.6× 93 2.7k
Jeroen Hermanides Netherlands 30 1.5k 0.5× 763 0.5× 509 0.5× 316 0.4× 1.3k 2.5× 122 3.3k
Hideyasu Kiyomoto Japan 32 1.3k 0.5× 1.3k 0.8× 215 0.2× 1.0k 1.3× 730 1.4× 106 3.9k
Caroline Kistorp Denmark 32 2.0k 0.7× 2.0k 1.2× 637 0.6× 920 1.2× 681 1.3× 148 4.5k
Lung‐An Hsu Taiwan 27 584 0.2× 689 0.4× 508 0.5× 483 0.6× 625 1.2× 139 2.7k
Massimo Salvetti Italy 38 1.2k 0.4× 3.3k 2.0× 232 0.2× 327 0.4× 882 1.7× 170 4.7k
Hideo Izawa Japan 33 568 0.2× 2.0k 1.2× 419 0.4× 933 1.2× 1.0k 2.0× 183 4.0k
Sally M. Marshall United Kingdom 33 1.4k 0.5× 841 0.5× 225 0.2× 532 0.7× 637 1.2× 93 3.3k

Countries citing papers authored by Klas Malmberg

Since Specialization
Citations

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

Fields of papers citing papers by Klas Malmberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klas Malmberg

This figure shows the co-authorship network connecting the top 25 collaborators of Klas Malmberg. A scholar is included among the top collaborators of Klas Malmberg 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 Klas Malmberg. Klas Malmberg 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
1.
Nozza, Anna, Ilse C. Schrieks, Klas Malmberg, et al.. (2017). ASSOCIATION BETWEEN HOMEOSTASIS MODEL ASSESSMENT OF INSULIN RESISTANCE AND SURVIVAL IN DIABETIC PATIENTS WITH ACUTE CORONARY SYNDROMES: INSIGHTS FROM THE ALECARDIO TRIAL. Journal of the American College of Cardiology. 69(11). 184–184.
2.
Erdmann, Erland, Robert M. Califf, Hertzel C. Gerstein, et al.. (2015). Effects of the dual peroxisome proliferator–activated receptor activator aleglitazar in patients with Type 2 Diabetes mellitus or prediabetes. American Heart Journal. 170(1). 117–122. 25 indexed citations
5.
Malmberg, Klas, et al.. (2013). EFFECTS OF ALEGLITAZAR ON CARDIOVASCULAR RISK FACTORS IN PATIENTS WITH STAGE 3 CHRONIC KIDNEY DISEASE AND TYPE II DIABETES. Journal of the American College of Cardiology. 61(10). E1173–E1173. 2 indexed citations
8.
Anselmino, Matteo, Klas Malmberg, Linda Mellbin, & Lars Rydén. (2010). Overview of the importance of glycaemic control for cardiovascular events in the in-and out-patient setting. Reviews in Endocrine and Metabolic Disorders. 11(1). 87–94. 7 indexed citations
9.
Landstedt‐Hallin, Lena, Klas Malmberg, A. Melcher, et al.. (2009). A Randomized Trial of the Impact of Strict Glycaemic Control on Myocardial Diastolic Function and Perfusion Reserve: A Report from the DADD (Diabetes Mellitus and Diastolic Dysfunction) Study. European Journal of Heart Failure. 11(1). 39–47. 58 indexed citations
10.
Anselmino, Matteo, et al.. (2008). Evidence-based medication and revascularization: powerful tools in the management of patients with diabetes and coronary artery disease: a report from the Euro Heart Survey on diabetes and the heart. European Journal of Cardiovascular Prevention & Rehabilitation. 15(2). 216–223. 58 indexed citations
11.
Wallander, Märit, Klas Malmberg, Anna Norhammar, Lars Rydén, & Åke Tenerz. (2007). Oral Glucose Tolerance Test: A Reliable Tool for Early Detection of Glucose Abnormalities in Patients With Acute Myocardial Infarction in Clinical Practice. Diabetes Care. 31(1). 36–38. 71 indexed citations
12.
Rydén, Lars, Eberhard Standl, Malgorzata Bartnik, et al.. (2007). Guidelines on Diabetes, Pre-Diabetes, and Cardiovascular Diseases: Executive Summary. Revista Española de Cardiología (English Edition). 60(5). 525–525. 180 indexed citations
14.
Þráinsdóttir, Inga S., Helene von Bibra, Klas Malmberg, & Lars Rydén. (2004). Effects of Trimetazidine on Left Ventricular Function in Patients with Type 2 Diabetes and Heart Failure. Journal of Cardiovascular Pharmacology. 44(1). 101–108. 31 indexed citations
16.
Ehlers, Mario R., Klas Malmberg, Gunnar Ronquist, et al.. (2003). Glucagon-like peptide-1 (7–36) amide prevents the accumulation of pyruvate and lactate in the ischemic and non-ischemic porcine myocardium. Peptides. 24(4). 569–578. 84 indexed citations
17.
Anand, Sonia S., Fahad Razak, Vlad Vuksan, et al.. (2003). Diagnostic Strategies to Detect Glucose Intolerance in a Multiethnic Population. Diabetes Care. 26(2). 290–296. 65 indexed citations
18.
Norhammar, Anna, Åke Tenerz, Göran Nilsson, et al.. (2002). Glucose metabolism in patients with acute myocardial infarction and no previous diagnosis of diabetes mellitus: a prospective study. The Lancet. 359(9324). 2140–2144. 796 indexed citations breakdown →
19.
Malmberg, Klas, Anna Norhammar, Hans Wedel, & Lars Rydén. (1999). Glycometabolic State at Admission: Important Risk Marker of Mortality in Conventionally Treated Patients With Diabetes Mellitus and Acute Myocardial Infarction. Circulation. 99(20). 2626–2632. 621 indexed citations breakdown →
20.
Malmberg, Klas, Peter Båvenholm, & Anders Hamsten. (1994). Clinical and biochemical factors associated with prognosis after myocardial infarction at a young age. Journal of the American College of Cardiology. 24(3). 592–599. 78 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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