Alex Maas
Impact in
- Molecular Biology top 5%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- Genomics and Chromatin Dynamics
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
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- DNA Repair Mechanisms 13
- CRISPR and Genetic Engineering 8
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- Water resources management and optimization 13
- Co-authors
- Roland Kanaar (8 shared papers)Magda Budzowska (4 shared papers)Gemma M. Dingjan (8 shared papers)Jeroen Essers (8 shared papers)Jan H.J. Hoeijmakers (9 shared papers)Katsuhiro Hanada (4 shared papers)Ellen van Drunen (3 shared papers)Frank Grosveld (10 shared papers)
- Journals
- The EMBO Journal (4 papers)The Journal of Immunology (4 papers)Molecular and Cellular Biology (3 papers)DNA repair (3 papers)Water Resources Research (3 papers)
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Alex Maas
63 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 146
- Molecular Biology 2.2k
- Genetics 315
- Cancer Research 419
- Immunology 500
- Cell Biology 292
Countries citing papers authored by Alex Maas
This map shows the geographic impact of Alex Maas'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 Alex Maas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Maas more than expected).
Fields of papers citing papers by Alex Maas
This network shows the impact of papers produced by Alex Maas. 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 Alex Maas. The network helps show where Alex Maas may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Maas, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 407 | |
| 2 | 2011 | 366 | |
| 3 | 2007 | 314 | |
| 4 | 2006 | 238 | |
| 5 | 2008 | 234 | |
| 6 | 1996 | 151 | |
| 7 | 2007 | 123 | |
| 8 | 2014 | 112 | |
| 9 | 2003 | 82 | |
| 10 | 2001 | 82 | |
| 11 | 2011 | 68 | |
| 12 | 2015 | 60 | |
| 13 | 2011 | 58 | |
| 14 | 2004 | 53 | |
| 15 | 2011 | 52 | |
| 16 | 1998 | 50 | |
| 17 | 2001 | 48 | |
| 18 | 1999 | 47 | |
| 19 | 2019 | 45 | |
| 20 | 1994 | 44 |
About Alex Maas
Alex Maas is a scholar working on Molecular Biology, Ocean Engineering, Immunology, Genetics and Genetics, having authored 67 papers that have together received 3.4k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (13 papers), Water resources management and optimization (13 papers), T-cell and B-cell Immunology (11 papers), Immunodeficiency and Autoimmune Disorders (9 papers), CRISPR and Genetic Engineering (8 papers), Water-Energy-Food Nexus Studies (7 papers), Economic and Environmental Valuation (6 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Genetics (315 citations), Cancer Research (419 citations), Immunology (500 citations) and Cell Biology (292 citations). Alex Maas has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Roland Kanaar, Magda Budzowska, Gemma M. Dingjan, Jeroen Essers, Jan H.J. Hoeijmakers, Katsuhiro Hanada, Ellen van Drunen, Frank Grosveld, H. Berna Beverloo and Dorota Kurek. Their work appears in journals such as The EMBO Journal, The Journal of Immunology, Molecular and Cellular Biology, DNA repair and Water Resources Research.
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.