Michael Pfeffer

1.5k citations
30 papers · 1.2k · h-index 16

Impact in

Papers in

Michael Pfeffer

30 papers receiving 1.1k citations

Peers

Michael Pfeffer
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 461
  • Geriatrics and Gerontology 33
  • Endocrinology, Diabetes and Metabolism 104
  • Statistics and Probability 55
  • Cancer Research 71
Replace Jasmine A. Luzum with:
Jasmine A. Luzum United States
C. Michael Stein United States
Julio D. Duarte United States
Lennart Holm Sweden
Nita A. Limdi United States
J. L. Anderson United States
Amy O. Johnson‐Levonas United States
HL McLeod United States
Philippe Brudi United States
Joanne J. Palmisano United States
Michael Pfeffer relative to Jasmine A. Luzum United States Jasmine A. Luzum's profile →
Citations per field
00.5×2×3×4.4×
Jasmine A. Luzum · 1×
Citations per year

Countries citing papers authored by Michael Pfeffer

Since Specialization
Citations

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

Fields of papers citing papers by Michael Pfeffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005171
2 2006126
3 2008122
4 2003119
5
Effects of telmisartan, irbesartan, valsartan, candesartan, and losartan on cancers in 15 trials enrolling 138 769 individuals
2011104
6 200882
7 200982
8 202171
9 199446
10 200840
11 197238
12 200732
13 200632
14 202329
15 197216
16 202416
17 20238
18 20206
19 20185
20 20245

About Michael Pfeffer

Michael Pfeffer is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Statistics and Probability, Genetics and Neurology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (5 papers), Mechanical Circulatory Support Devices (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Heart Failure Treatment and Management (3 papers), Statistical Methods in Clinical Trials (2 papers), Ubiquitin and proteasome pathways (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (461 citations), Geriatrics and Gerontology (33 citations), Endocrinology, Diabetes and Metabolism (104 citations), Statistics and Probability (55 citations) and Cancer Research (71 citations). Michael Pfeffer has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include John J.V. McMurray, Scott David Solomon, Edward David Frohlich, Marie‐Luise Hagmann, S. Rossol, Heinz Bodenmüller, Johann Karl, Josef Rüschoff, Michael Tacke and Stefan Palme. Their work appears in journals such as Journal of Clinical Medicine, European Heart Journal, Experimental Biology and Medicine, European Journal Of Haematology and Molecular & Cellular Proteomics.

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.

Explore authors with similar magnitude of impact