Marc Hulsman
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Bioinformatics and Genomic Networks 10
- Gene expression and cancer classification 5
- Genetics 15
- Genetic Associations and Epidemiology 8
- Genomics and Rare Diseases 5
- Co-authors
- Marcel Reinders (34 shared papers)Jan de Boer (9 shared papers)Clemens van Blitterswijk (8 shared papers)Henne Holstege (31 shared papers)Philip Scheltens (18 shared papers)Dimitrios Stamatialis (4 shared papers)Bernke J. Papenburg (3 shared papers)H.V. Unadkat (4 shared papers)
- Journals
- Alzheimer s & Dementia (7 papers)Biomaterials (3 papers)Genome Research (3 papers)JAMA Network Open (2 papers)European Journal of Human Genetics (2 papers)
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Marc Hulsman
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Aging 78
- Neuropsychology and Physiological Psychology 26
- Cell Biology 216
- Neurology 103
- Physiology 278
Countries citing papers authored by Marc Hulsman
This map shows the geographic impact of Marc Hulsman'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 Marc Hulsman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Hulsman more than expected).
Fields of papers citing papers by Marc Hulsman
This network shows the impact of papers produced by Marc Hulsman. 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 Marc Hulsman. The network helps show where Marc Hulsman may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Hulsman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 304 | |
| 2 | 2014 | 97 | |
| 3 | 2013 | 88 | |
| 4 | 2017 | 85 | |
| 5 | 2014 | 65 | |
| 6 | 2012 | 65 | |
| 7 | 2017 | 64 | |
| 8 | 2018 | 48 | |
| 9 | 2013 | 45 | |
| 10 | 2018 | 41 | |
| 11 | 2018 | 40 | |
| 12 | 2013 | 36 | |
| 13 | 2021 | 35 | |
| 14 | 2020 | 34 | |
| 15 | 2015 | 31 | |
| 16 | 2013 | 31 | |
| 17 | 2020 | 30 | |
| 18 | 2015 | 25 | |
| 19 | 2022 | 25 | |
| 20 | 2015 | 25 |
About Marc Hulsman
Marc Hulsman is a scholar working on Molecular Biology, Genetics, Physiology, Psychiatry and Mental health and Biomedical Engineering, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (12 papers), Dementia and Cognitive Impairment Research (10 papers), Bioinformatics and Genomic Networks (10 papers), Genetic Associations and Epidemiology (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), 3D Printing in Biomedical Research (5 papers), Genomics and Rare Diseases (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Aging (78 citations), Neuropsychology and Physiological Psychology (26 citations), Cell Biology (216 citations), Neurology (103 citations) and Physiology (278 citations). Marc Hulsman has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Marcel Reinders, Jan de Boer, Clemens van Blitterswijk, Henne Holstege, Philip Scheltens, Dimitrios Stamatialis, Bernke J. Papenburg, H.V. Unadkat, Roman Truckenmüller and Sven J. van der Lee. Their work appears in journals such as Alzheimer s & Dementia, Biomaterials, Genome Research, JAMA Network Open and European Journal of Human Genetics.
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.