Maarten Hulsmans
Impact in
-
- Cardiac Fibrosis and Remodeling
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Cardiac Fibrosis and Remodeling 7
- Cardiovascular Function and Risk Factors 3
- Cardiac electrophysiology and arrhythmias 3
- Co-authors
- Paul HolvoetMatthias NahrendorfFlora SamDieuwke De KeyzerKory J. LavineChantal MathieuYoshiko IwamotoRalph Weissleder
- Journals
- PLoS ONE (4 papers)Circulation Research (3 papers)Cardiovascular Research (2 papers)Circulation (2 papers)International Journal of Obesity (2 papers)
- Partner nations
- BelgiumUnited StatesGermany
In The Last Decade
Maarten Hulsmans
26 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Cardiology and Cardiovascular Medicine 1.0k
- Cancer Research 544
- Immunology 667
- Molecular Biology 1.3k
- Neurology 126
Countries citing papers authored by Maarten Hulsmans
This map shows the geographic impact of Maarten Hulsmans'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 Maarten Hulsmans with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maarten Hulsmans more than expected).
Fields of papers citing papers by Maarten Hulsmans
This network shows the impact of papers produced by Maarten Hulsmans. 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 Maarten Hulsmans. The network helps show where Maarten Hulsmans may publish in the future.
Co-authors
The 25 scholars most cited alongside Maarten Hulsmans, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2022 | 10 | |
| 3 | 2020 | 161 | |
| 4 | 2020 | 9 | |
| 5 | 2020 | 25 | |
| 6 | 2019 | 23 | |
| 7 | The human heart contains distinct macrophage subsets with divergent origins and functions Hit paper breakdown → | 2018 | 478 |
| 8 | 2017 | 13 | |
| 9 | 2015 | 26 | |
| 10 | 2015 | 219 | |
| 11 | 2013 | 275 | |
| 12 | 2013 | 34 | |
| 13 | 2013 | 30 | |
| 14 | 2013 | 71 | |
| 15 | 2012 | 74 | |
| 16 | 2012 | 64 | |
| 17 | 2012 | 98 | |
| 18 | 2012 | 115 | |
| 19 | 2009 | 210 | |
| 20 | 2009 | 63 |
About Maarten Hulsmans
Maarten Hulsmans is a scholar working on Computational Mathematics, Cardiology and Cardiovascular Medicine, Cancer Research, Immunology and Physiology, having authored 26 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (7 papers), Adipose Tissue and Metabolism (6 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), MicroRNA in disease regulation (5 papers), Extracellular vesicles in disease (3 papers), Cardiovascular Function and Risk Factors (3 papers), Signaling Pathways in Disease (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.0k citations), Cancer Research (544 citations), Immunology (667 citations), Molecular Biology (1.3k citations) and Neurology (126 citations). Maarten Hulsmans has collaborated with scholars based in Belgium, United States and Germany. Frequent co-authors include Paul Holvoet, Matthias Nahrendorf, Flora Sam, Dieuwke De Keyzer, Kory J. Lavine, Chantal Mathieu, Yoshiko Iwamoto, Ralph Weissleder, Filip K. Świrski and Gabriel Courties. Their work appears in journals such as PLoS ONE, Circulation Research, Cardiovascular Research, Circulation and International Journal of Obesity.
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.