N.A.W. van Riel
- Molecular Biology top 10%
- Physiology top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- P.A.J. HilbersC. Theo VerripsChristian TiemannJoep VanlierEelko G. ter SchureWalter H. BackesJoep SchmitzJeroen A. L. Jeneson
- Topics
- Microbial Metabolic Engineering and Bioproduction (22 papers)Diet and metabolism studies (14 papers)Diabetes Management and Research (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
N.A.W. van Riel
122 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 163
- Molecular Biology 1.1k
- Physiology 356
- Radiology, Nuclear Medicine and Imaging 335
- Biomedical Engineering 270
- Cardiology and Cardiovascular Medicine 250
Countries citing papers authored by N.A.W. van Riel
This map shows the geographic impact of N.A.W. van Riel'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 N.A.W. van Riel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.A.W. van Riel more than expected).
Fields of papers citing papers by N.A.W. van Riel
This network shows the impact of papers produced by N.A.W. van Riel. 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 N.A.W. van Riel. The network helps show where N.A.W. van Riel may publish in the future.
Co-authorship network of co-authors of N.A.W. van Riel
This figure shows the co-authorship network connecting the top 25 collaborators of N.A.W. van Riel. A scholar is included among the top collaborators of N.A.W. van Riel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N.A.W. van Riel. N.A.W. van Riel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 29 | |
| 12 | 10 | |
| 13 | 4 | |
| 14 | 7 | |
| 15 | 20 | |
| 16 | 24 | |
| 17 | 4 | |
| 18 | 27 | |
| 19 | 25 | |
| 20 | The glutamate synthase (GOGAT) of Saccharomyces cerevisiae plays an important role in the central nitrogen metabolism | 6 |
About N.A.W. van Riel
N.A.W. van Riel is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 128 papers that have together received 2.4k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (22 papers), Diet and metabolism studies (14 papers) and Diabetes Management and Research (13 papers). The work is most often cited by research in Aging (44 citations), Molecular Biology (1.1k citations) and Radiology, Nuclear Medicine and Imaging (335 citations). N.A.W. van Riel has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include P.A.J. Hilbers, C. Theo Verrips, Christian Tiemann, Joep Vanlier, Eelko G. ter Schure, Walter H. Backes, Joep Schmitz, Jeroen A. L. Jeneson, Jorn op den Buijs and Klaas Nicolay. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.