Marit Granér

1.6k citations
26 papers · 871 · h-index 14

Impact in

Papers in

Marit Granér

26 papers receiving 849 citations

Peers

Marit Granér
Comparison fields: 5 of 72
  • Cardiology and Cardiovascular Medicine 420
  • Physiology 292
  • Clinical Biochemistry 72
  • Endocrinology, Diabetes and Metabolism 149
  • Internal Medicine 31
Replace Osamu Hirono with:
Osamu Hirono Japan
Sofia Miceli Italy
Raimund Pechlaner Austria
Maxime Fournet France
Faustina Scavelli Italy
Michael S. Dahn United States
B. C. SINCLAIR-SMITH United States
Toshiaki Yano Japan
Jürgen Meyer Germany
Dianne Judd United States
Marit Granér relative to Osamu Hirono Japan Osamu Hirono's profile →
Citations per field
00.5×3.6×
Osamu Hirono · 1×
Citations per year

Countries citing papers authored by Marit Granér

Since Specialization
Citations

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

Fields of papers citing papers by Marit Granér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marit Granér, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marit Granér Line = papers co-authored together Marit Granér links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011165
2 201394
3 201390
4 201482
5 200673
6 200671
7 200745
8 200742
9 201236
10 200628
11 201827
12 201427
13 200716
14 201813
15 201713
16 20138
17 20158
18 20108
19 20135
20 20155

About Marit Granér

Marit Granér is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 26 papers that have together received 871 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (10 papers), Cardiovascular Function and Risk Factors (8 papers), Venous Thromboembolism Diagnosis and Management (6 papers), Cardiac Imaging and Diagnostics (4 papers), Acute Myocardial Infarction Research (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Cardiovascular Effects of Exercise (3 papers) and Ultrasound in Clinical Applications (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (420 citations), Physiology (292 citations), Clinical Biochemistry (72 citations), Endocrinology, Diabetes and Metabolism (149 citations) and Internal Medicine (31 citations). Marit Granér has collaborated with scholars based in Finland, Sweden and Switzerland. Frequent co-authors include Markku S. Nieminen, Marja‐Riitta Taskinen, Nina Lundbom, Antti Hakkarainen, Mikko Syvänne, Juhani Kahri, Jesper Lundbom, Markku O. Pentikäinen, Kristofer Nyman and Kirsi Lauerma. Their work appears in journals such as Nutrition Metabolism and Cardiovascular Diseases, Annals of Medicine, The Journal of Clinical Endocrinology & Metabolism, The American Journal of Cardiology and Scientific Reports.

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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