Kristina Hanspers
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 15
- Gene expression and cancer classification 8
- Biomedical Text Mining and Ontologies 7
- Genomics and Phylogenetic Studies 5
- Gene Regulatory Network Analysis 3
- Molecular Biology Techniques and Applications 2
- Cancer Research top 5%
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- Computational Drug Discovery Methods 3
- Aging top 10%
- Biological Psychiatry top 10%
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- Microbial Natural Products and Biosynthesis 2
- Co-authors
- Alexander R. PicoChris T. EveloBruce R. ConklinMartijn van IerselThomas KelderMartina KutmonSusan L. CoortAnders Riutta
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Kristina Hanspers
25 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 2.3k
- Cancer Research 450
- Computational Theory and Mathematics 255
- Aging 25
- Biological Psychiatry 33
Countries citing papers authored by Kristina Hanspers
This map shows the geographic impact of Kristina Hanspers'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 Kristina Hanspers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristina Hanspers more than expected).
Fields of papers citing papers by Kristina Hanspers
This network shows the impact of papers produced by Kristina Hanspers. 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 Kristina Hanspers. The network helps show where Kristina Hanspers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kristina Hanspers, 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 | 2025 | 5 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 49 | |
| 4 | WikiPathways: connecting communitiesbreakdown → | 2020 | 507 |
| 5 | 2020 | 19 | |
| 6 | 2018 | 31 | |
| 7 | 2017 | 79 | |
| 8 | 2016 | 24 | |
| 9 | 2015 | 296 | |
| 10 | 2011 | 384 | |
| 11 | 2010 | 123 | |
| 12 | 2009 | 75 | |
| 13 | 2009 | 80 | |
| 14 | 2008 | 269 | |
| 15 | 2008 | 479 | |
| 16 | 2007 | 204 | |
| 17 | 2007 | 10 | |
| 18 | 2006 | 33 | |
| 19 | 2005 | 32 | |
| 20 | 2003 | 139 |
About Kristina Hanspers
Kristina Hanspers is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Science Applications, having authored 25 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (15 papers), Gene expression and cancer classification (8 papers), Biomedical Text Mining and Ontologies (7 papers), Genomics and Phylogenetic Studies (5 papers), Computational Drug Discovery Methods (3 papers), Gene Regulatory Network Analysis (3 papers), Microbial Natural Products and Biosynthesis (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Cancer Research (450 citations) and Computational Theory and Mathematics (255 citations). Kristina Hanspers has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Alexander R. Pico, Chris T. Evelo, Bruce R. Conklin, Martijn van Iersel, Thomas Kelder, Martina Kutmon, Susan L. Coort, Anders Riutta, Nathan Salomonis and Karen Vranizan. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, BMC Bioinformatics, PLoS Computational Biology 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.