Michael Pfeffer

1.4k citations
25 papers · 893 · h-index 12

Impact in

Papers in

Michael Pfeffer

24 papers receiving 860 citations

Peers

Michael Pfeffer
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 311
  • Geriatrics and Gerontology 30
  • Statistics and Probability 50
  • Statistics, Probability and Uncertainty 29
  • Cancer Research 54
Replace Brigitte Tranchand with:
Brigitte Tranchand France
Julio D. Duarte United States
Manhua Chen China
Tayyaba Khan United Kingdom
Andrea Arfè Italy
L. Toivanen Finland
Jasmine A. Luzum United States
Daniel J. Crona United States
Christine McCrary Sisk United States
Mohammad I. Zia Canada
Michael Pfeffer relative to Brigitte Tranchand France Brigitte Tranchand's profile →
Citations per field
00.5×6.9×
Brigitte Tranchand · 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 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005162
2 2006117
3 2008113
4 2003111
5 200977
6 200874
7 199445
8 197234
9 200832
10 200732
11 200631
12 202324
13 197211
14 20236
15 20185
16 20214
17 20204
18 19723
19 20092
20 20162

About Michael Pfeffer

Michael Pfeffer is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering, Surgery, Molecular Biology and Genetics, having authored 25 papers that have together received 893 indexed citations. Recurring topics across this work include Mechanical Circulatory Support Devices (4 papers), Heart Failure Treatment and Management (3 papers), Cardiovascular Function and Risk Factors (3 papers), Ubiquitin and proteasome pathways (2 papers), Hemodynamic Monitoring and Therapy (2 papers), Cardiac pacing and defibrillation studies (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (311 citations), Geriatrics and Gerontology (30 citations), Statistics and Probability (50 citations), Statistics, Probability and Uncertainty (29 citations) and Cancer Research (54 citations). Michael Pfeffer has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include John J.V. McMurray, Scott D. Solomon, G. Rohr, Hanno Langen, Josef Rüschoff, Werner Zolg, Markus Roeßler, Marie‐Luise Hagmann, Michael Tacke and Stefan Palme. Their work appears in journals such as European Heart Journal, Experimental Biology and Medicine, Journal of Clinical Medicine, European Journal Of Haematology and PROTEOMICS - CLINICAL APPLICATIONS.

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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