K. Malmberg

3.6k total citations · 2 hit papers
9 papers, 2.5k citations indexed

About

K. Malmberg is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, K. Malmberg has authored 9 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 7 papers in Cardiology and Cardiovascular Medicine and 4 papers in Molecular Biology. Recurrent topics in K. Malmberg's work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (8 papers), Cardiovascular Function and Risk Factors (6 papers) and Acute Myocardial Infarction Research (4 papers). K. Malmberg is often cited by papers focused on Hyperglycemia and glycemic control in critically ill and hospitalized patients (8 papers), Cardiovascular Function and Risk Factors (6 papers) and Acute Myocardial Infarction Research (4 papers). K. Malmberg collaborates with scholars based in Sweden, Netherlands and Denmark. K. Malmberg's co-authors include Lars Rydén, Lars Rydén, Hans Wedel, Anders Waldenström, Anders Hamsten, Suad Efendić, Per Hildebrandt, Aart H. Bootsma, Johan Herlitz and Kåre I. Birkeland and has published in prestigious journals such as Diabetes Care, European Heart Journal and Diabetologia.

In The Last Decade

K. Malmberg

9 papers receiving 2.3k citations

Hit Papers

Prospective randomised study of intensive insulin treatme... 1997 2026 2006 2016 1997 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Malmberg Sweden 9 2.0k 1.1k 361 338 316 9 2.5k
Åke Tenerz Sweden 12 1.1k 0.6× 807 0.7× 305 0.8× 179 0.5× 148 0.5× 13 1.5k
E. R. Mathiesen Denmark 15 1.3k 0.6× 730 0.7× 141 0.4× 73 0.2× 240 0.8× 30 2.3k
K. Malmberg Sweden 15 812 0.4× 632 0.6× 251 0.7× 96 0.3× 167 0.5× 24 1.2k
Edward J. Busick United States 5 791 0.4× 387 0.3× 111 0.3× 89 0.3× 216 0.7× 5 1.4k
Stephen Stranks Australia 16 1.3k 0.6× 168 0.1× 339 0.9× 226 0.7× 287 0.9× 32 1.6k
Michael J. O’Grady United States 13 354 0.2× 1.2k 1.1× 206 0.6× 119 0.4× 196 0.6× 23 1.6k
Richard B. Devereux United States 7 374 0.2× 2.3k 2.0× 200 0.6× 157 0.5× 267 0.8× 10 2.6k
Yoshihito Atsumi Japan 22 608 0.3× 225 0.2× 324 0.9× 131 0.4× 220 0.7× 63 1.2k
Stephen Fava Malta 20 330 0.2× 297 0.3× 147 0.4× 104 0.3× 156 0.5× 78 1.0k
Sille Esbjerg Denmark 6 916 0.5× 305 0.3× 297 0.8× 118 0.3× 315 1.0× 8 1.5k

Countries citing papers authored by K. Malmberg

Since Specialization
Citations

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

Fields of papers citing papers by K. Malmberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Malmberg

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

All Works

9 of 9 papers shown
2.
Wallander, Märit, Malgorzata Bartnik, Suad Efendić, et al.. (2005). Beta cell dysfunction in patients with acute myocardial infarction but without previously known type 2 diabetes: a report from the GAMI study. Diabetologia. 48(11). 2229–2235. 60 indexed citations
3.
Malmberg, K., Lars Rydén, Hans Wedel, et al.. (2005). Intense metabolic control by means of insulin in patients with diabetes mellitus and acute myocardial infarction (DIGAMI 2): effects on mortality and morbidity. European Heart Journal. 26(7). 650–661. 728 indexed citations breakdown →
4.
Bartnik, Malgorzata, K. Malmberg, Anders Hamsten, et al.. (2004). Abnormal glucose tolerance – a common risk factor in patients with acute myocardial infarction in comparison with population‐based controls. Journal of Internal Medicine. 256(4). 288–297. 75 indexed citations
5.
Tenerz, Åke, Göran Nilsson, John Öhrvik, et al.. (2003). Basal glucometabolic status has an impact on long‐term prognosis following an acute myocardial infarction in non‐diabetic patients. Journal of Internal Medicine. 254(5). 494–503. 42 indexed citations
6.
Rydén, Lars, et al.. (1999). Admission plasma glucose. Independent risk factor for long-term prognosis after myocardial infarction even in nondiabetic patients.. Diabetes Care. 22(11). 1827–1831. 240 indexed citations
7.
Malmberg, K.. (1997). Mortality prediction in diabetic patients with myocardial infarction: experiences from the DIGAMI study. Cardiovascular Research. 34(1). 248–253. 82 indexed citations
8.
Malmberg, K.. (1997). Prospective randomised study of intensive insulin treatment on long term survival after acute myocardial infarction in patients with diabetes mellitus. BMJ. 314(7093). 1512–1512. 930 indexed citations breakdown →
9.
Malmberg, K., et al.. (1996). Effects of insulin treatment on cause-specific one-year mortality and morbidity in diabetic patients with acute myocardial infarction. European Heart Journal. 17(9). 1337–1344. 208 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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