Michael Rubart

8.3k citations
83 papers · 6.2k indexed · 2 hit papers · h-index 34

Michael Rubart

79 papers receiving 6.1k citations

Hit Papers

Haematopoietic stem cells do not transdifferentiate into ...1.6k199520262005201550010001.5k

Peers

Michael Rubart
Comparison fields: 5 of 140
  • Genetics 1.1k
  • Cardiology and Cardiovascular Medicine 2.4k
  • Biomaterials 764
  • Cellular and Molecular Neuroscience 1.0k
  • Molecular Biology 3.9k
Replace Timothy J. Kamp with:
Timothy J. Kamp United States
Michel Pucéat France
Kenneth R. Boheler United States
Alessandra Moretti Germany
Tkachuk Va Russia
Ketty Schwartz France
Joji Ando Japan
Haruhiro Toko Japan
Oleksandr Platoshyn United States
Ofer Binah Israel
Michael Rubart relative to Timothy J. Kamp United States Timothy J. Kamp's profile →
Citations per field
00.5×1.5×2.4×
Timothy J. Kamp · 1×
Citations per year

Countries citing papers authored by Michael Rubart

Since Specialization
Citations

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

Fields of papers citing papers by Michael Rubart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 20212
3 202066
4 20203
5 20163
6 20153
7 201422
8 201211
9 201229
10 201250
11 20126
12 201143
13
Cell-Cycle-Based Strategies to Drive Myocardial Repair
20091
14 200823
15 200832
16 200719
17 2005364
18 199939
19 199517
20
ERFOLGREICHE MECHANISCHE THROMBUSFRAGMENTATION UND SELEKTIVE STREPTOKINASELYSE BEI MASSIVER LUNGENEMBOLIE UNTER REANIMATIONSBEDINGUNGEN
19891

About Michael Rubart

Michael Rubart is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Biophysics, having authored 83 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (40 papers), Ion channel regulation and function (25 papers), Tissue Engineering and Regenerative Medicine (13 papers), Congenital heart defects research (13 papers), Neuroscience and Neural Engineering (13 papers), Cardiac Fibrosis and Remodeling (7 papers), Advanced Fluorescence Microscopy Techniques (6 papers) and Cardiomyopathy and Myosin Studies (6 papers). The work is most often cited by research in Genetics (1.1k citations), Cardiology and Cardiovascular Medicine (2.4k citations) and Biomaterials (764 citations). Michael Rubart has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Loren J. Field, Mark H. Soonpaa, Mark T. Nelson, Hidehiro Nakajima, Adrian D. Bonev, Harm J. Knot, W. Jonathan Lederer, Luis F. Santana, Heping Cheng and Douglas P. Zipes. Their work appears in journals such as Circulation, Journal of Cardiovascular Electrophysiology, American Journal of Physiology-Heart and Circulatory Physiology, Circulation Research and Heart Rhythm.

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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