Wilhelm Grander

1.6k citations
30 papers · 956 indexed · h-index 15

Wilhelm Grander

29 papers receiving 936 citations

Peers

Wilhelm Grander
Comparison fields: 5 of 102
  • Family Practice 49
  • Cardiology and Cardiovascular Medicine 415
  • Epidemiology 371
  • Critical Care and Intensive Care Medicine 54
  • Hepatology 73
Replace Nadia Giannetti with:
Nadia Giannetti Canada
Ravindra Prabhu India
Prateeti Khazanie United States
J.L. Blache France
Johannes Winning Germany
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Citations per year

Countries citing papers authored by Wilhelm Grander

Since Specialization
Citations

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

Fields of papers citing papers by Wilhelm Grander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Wilhelm Grander, 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 Wilhelm Grander Line = papers co-authored together Wilhelm Grander links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20195
2 20161
3 20159
4 201323
5 201311
6
Plasma copeptin levels before and during exogenous arginine vasopressin infusion in patients with advanced vasodilatory shock.
201013
7
Herzinsuffizienz-Register- (HIR-) Austria 2006-2009: Erfahrungen und Konsequenzen
20106
8 201031
9 20102
10 20104
11 201024
12 20108
13 201012
14 201071
15 2009221
16 200880
17 200619
18
Aortic valve calcification as quantified with multislice computed tomography predicts short-term clinical outcome in patients with asymptomatic aortic stenosis.
200643
19 200568
20 20048

About Wilhelm Grander

Wilhelm Grander is a scholar working on Cardiology and Cardiovascular Medicine, Critical Care and Intensive Care Medicine, Internal Medicine, Epidemiology and Hepatology, having authored 30 papers that have together received 956 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (10 papers), Heart Failure Treatment and Management (4 papers), Cardiac Valve Diseases and Treatments (3 papers), Respiratory Support and Mechanisms (3 papers), Cardiovascular Function and Risk Factors (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Family Practice (49 citations), Cardiology and Cardiovascular Medicine (415 citations), Epidemiology (371 citations), Critical Care and Intensive Care Medicine (54 citations) and Hepatology (73 citations). Wilhelm Grander has collaborated with scholars based in Austria, Switzerland and United States. Frequent co-authors include Martin W. Dünser, Hanno Ulmer, Christian A. Schmittinger, Wolfgang Dichtl, Otmar Pachinger, Stefan Jochberger, Friedrich Fruhwald, A. Kollmann, Peter Kästner and Herwig Schuchlenz. Their work appears in journals such as Intensive Care Medicine, International Journal of Sports Medicine, Transplant International, Annals of Intensive Care and Journal of Parenteral and Enteral Nutrition.

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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