Martijn van Iersel
- Molecular Biology top 5%
- Computational Theory and Mathematics top 2%
- Cancer Research top 10%
- Genetics
- Oncology
- Co-authors
- Chris T. EveloAlexander R. PicoThomas KelderKristina HanspersBruce R. ConklinMartina KutmonAnwesha BohlerNuno Nunes
- Topics
- Bioinformatics and Genomic Networks (18 papers)Microbial Metabolic Engineering and Bioproduction (10 papers)Gene Regulatory Network Analysis (8 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Martijn van Iersel
22 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.5k
- Computational Theory and Mathematics 198
- Cancer Research 169
- Genetics 160
- Oncology 119
Countries citing papers authored by Martijn van Iersel
This map shows the geographic impact of Martijn van Iersel'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 Martijn van Iersel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martijn van Iersel more than expected).
Fields of papers citing papers by Martijn van Iersel
This network shows the impact of papers produced by Martijn van Iersel. 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 Martijn van Iersel. The network helps show where Martijn van Iersel may publish in the future.
Co-authorship network of co-authors of Martijn van Iersel
This figure shows the co-authorship network connecting the top 25 collaborators of Martijn van Iersel. A scholar is included among the top collaborators of Martijn van Iersel 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 Martijn van Iersel. Martijn van Iersel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 313 | |
| 3 | 11 | |
| 4 | 9 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 17 | |
| 8 | 44 | |
| 9 | 384 | |
| 10 | 56 | |
| 11 | 12 | |
| 12 | 5 | |
| 13 | 123 | |
| 14 | 80 | |
| 15 | 269 | |
| 16 | 6 | |
| 17 | 479 | |
| 18 | 56 | |
| 19 | 6 | |
| 20 | 8 |
About Martijn van Iersel
Martijn van Iersel is a scholar working on Aging, Molecular Biology and Computational Theory and Mathematics, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (18 papers), Microbial Metabolic Engineering and Bioproduction (10 papers) and Gene Regulatory Network Analysis (8 papers). The work is most often cited by research in Aging (56 citations), Molecular Biology (1.5k citations) and Computational Theory and Mathematics (198 citations). Martijn van Iersel has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Chris T. Evelo, Alexander R. Pico, Thomas Kelder, Kristina Hanspers, Bruce R. Conklin, Martina Kutmon, Anwesha Bohler, Nuno Nunes, Susan L. Coort and Jianjiong Gao. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.
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.