Marco Nooteboom
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Mitochondrial Function and Pathology 11
- ATP Synthase and ATPases Research 4
- DNA Repair Mechanisms 2
- Ion channel regulation and function 1
- Nuclear Structure and Function 1
-
- Metabolism and Genetic Disorders 6
- Co-authors
- Peter H.G.M. Willems (8 shared papers)Werner J.H. Koopman (7 shared papers)Jan Smeıtınk (4 shared papers)Radek Szklarczyk (3 shared papers)Douglass M. Turnbull (4 shared papers)John C. Mathers (3 shared papers)Thomas B. L. Kirkwood (3 shared papers)Robert W. Taylor (3 shared papers)
- Journals
- PLoS Genetics (2 papers)Pharmaceutical Research (1 paper)IUBMB Life (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)ACS Omega (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Marco Nooteboom
13 papers receiving 686 citations
Peers
Comparison fields: 5 of 92
- Clinical Biochemistry 156
- Aging 31
- Molecular Biology 527
- Biological Psychiatry 10
- Cellular and Molecular Neuroscience 68
Countries citing papers authored by Marco Nooteboom
This map shows the geographic impact of Marco Nooteboom'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 Marco Nooteboom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Nooteboom more than expected).
Fields of papers citing papers by Marco Nooteboom
This network shows the impact of papers produced by Marco Nooteboom. 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 Marco Nooteboom. The network helps show where Marco Nooteboom may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Nooteboom, 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 | 2014 | 112 | |
| 2 | 2012 | 69 | |
| 3 | 2012 | 67 | |
| 4 | 2012 | 57 | |
| 5 | 2015 | 56 | |
| 6 | 2014 | 51 | |
| 7 | 2011 | 50 | |
| 8 | 2012 | 45 | |
| 9 | 2009 | 45 | |
| 10 | 2017 | 42 | |
| 11 | 2013 | 34 | |
| 12 | 2014 | 34 | |
| 13 | 2010 | 30 |
About Marco Nooteboom
Marco Nooteboom is a scholar working on Molecular Biology, Clinical Biochemistry, Cellular and Molecular Neuroscience, Oncology and Physiology, having authored 13 papers that have together received 692 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (11 papers), Metabolism and Genetic Disorders (6 papers), ATP Synthase and ATPases Research (4 papers), DNA Repair Mechanisms (2 papers), Genetic Neurodegenerative Diseases (2 papers), Ion channel regulation and function (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Nuclear Structure and Function (1 paper). The work is most often cited by research in Clinical Biochemistry (156 citations), Aging (31 citations), Molecular Biology (527 citations), Biological Psychiatry (10 citations) and Cellular and Molecular Neuroscience (68 citations). Marco Nooteboom has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Peter H.G.M. Willems, Werner J.H. Koopman, Jan Smeıtınk, Radek Szklarczyk, Douglass M. Turnbull, John C. Mathers, Thomas B. L. Kirkwood, Robert W. Taylor, Laura C. Greaves and Heinz D. Osiewacz. Their work appears in journals such as PLoS Genetics, Pharmaceutical Research, IUBMB Life, Philosophical Transactions of the Royal Society B Biological Sciences and ACS Omega.
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.