Martina Kutmon
- Molecular Biology top 5%
- Cancer Research top 5%
- Genetics top 10%
- Immunology
- Computational Theory and Mathematics top 5%
- Co-authors
- Chris T. EveloAlexander R. PicoThomas KelderKristina HanspersMartijn van IerselSusan L. CoortAnwesha BohlerNuno Nunes
- Topics
- Bioinformatics and Genomic Networks (25 papers)Microbial Metabolic Engineering and Bioproduction (9 papers)Biomedical Text Mining and Ontologies (6 papers)
- Journals
- Nucleic Acids ResearchSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Martina Kutmon
49 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.4k
- Cancer Research 325
- Genetics 218
- Immunology 190
- Computational Theory and Mathematics 176
Countries citing papers authored by Martina Kutmon
This map shows the geographic impact of Martina Kutmon'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 Martina Kutmon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Kutmon more than expected).
Fields of papers citing papers by Martina Kutmon
This network shows the impact of papers produced by Martina Kutmon. 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 Martina Kutmon. The network helps show where Martina Kutmon may publish in the future.
Co-authorship network of co-authors of Martina Kutmon
This figure shows the co-authorship network connecting the top 25 collaborators of Martina Kutmon. A scholar is included among the top collaborators of Martina Kutmon 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 Martina Kutmon. Martina Kutmon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 15 | |
| 10 | 7 | |
| 11 | 12 | |
| 12 | 53 | |
| 13 | 1 | |
| 14 | WikiPathways: connecting communitiesbreakdown → | 507 |
| 15 | 34 | |
| 16 | 6 | |
| 17 | 25 | |
| 18 | 313 | |
| 19 | 91 | |
| 20 | 51 |
About Martina Kutmon
Martina Kutmon is a scholar working on Molecular Biology, Biochemistry and Ophthalmology, having authored 51 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (25 papers), Microbial Metabolic Engineering and Bioproduction (9 papers) and Biomedical Text Mining and Ontologies (6 papers). The work is most often cited by research in Cancer Research (325 citations), Molecular Biology (1.4k citations) and Biological Psychiatry (30 citations). Martina Kutmon 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, Martijn van Iersel, Susan L. Coort, Anwesha Bohler, Nuno Nunes, Egon Willighagen and Anders Riutta. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología 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.