M. Lab

654 citations
16 papers · 555 · h-index 13

Impact in

Papers in

    • Cardiac electrophysiology and arrhythmias 8
    • Cardiomyopathy and Myosin Studies 4
    • Cardiac Arrhythmias and Treatments 2
    • Cardiac pacing and defibrillation studies 2
    • Cardiovascular Effects of Exercise 1
    • Drug Transport and Resistance Mechanisms 2

M. Lab

15 papers receiving 527 citations

Peers

M. Lab
Comparison fields: 5 of 56
  • Cardiology and Cardiovascular Medicine 362
  • Electrochemistry 28
  • Cellular and Molecular Neuroscience 68
  • Bioengineering 16
  • Microbiology 2
Replace Stephen Holmberg with:
Stephen Holmberg United Kingdom
Russell E. Hillsley United States
Richard A. Falcone United States
Marianne Koch Austria
Maarten De Smet Belgium
J. Wang United States
Paul David Harris United States
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Csaba Lengyel Hungary
Bishow B. Adhikari United States
M. Lab relative to Stephen Holmberg United Kingdom Stephen Holmberg's profile →
Citations per field
00.5×
Stephen Holmberg · 1×
Citations per year

Countries citing papers authored by M. Lab

Since Specialization
Citations

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

Fields of papers citing papers by M. Lab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 198872
2 200460
3 200653
4 199252
5 198047
6 199246
7 199643
8 199140
9 200336
10 199029
11 197724
12 199222
13 198118
14 200611
15 19872
16 19910

About M. Lab

M. Lab is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 555 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (8 papers), Cardiomyopathy and Myosin Studies (4 papers), Cardiac Arrhythmias and Treatments (2 papers), Cardiac pacing and defibrillation studies (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Muscle activation and electromyography studies (2 papers), Cardiovascular Effects of Exercise (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (362 citations), Electrochemistry (28 citations), Cellular and Molecular Neuroscience (68 citations), Bioengineering (16 citations) and Microbiology (2 citations). M. Lab has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Peter Sutton, Peter Taggart, Julia Gorelik, Yuri E. Korchev, Tom Treasure, William H. O’Brien, Catherine Williamson, Michael de Swiet, Andrew Shevchuk and R. Hennekes. Their work appears in journals such as Heart, Cardiovascular Research, BJOG An International Journal of Obstetrics & Gynaecology, Journal of Molecular and Cellular Cardiology and European Heart Journal.

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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