Anders Riutta
Impact in
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks
- Extracellular vesicles in disease
- Metabolomics and Mass Spectrometry Studies
- Single-cell and spatial transcriptomics
- Biomedical Text Mining and Ontologies
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Bioinformatics and Genomic Networks 6
- Biomedical Text Mining and Ontologies 2
- Extracellular vesicles in disease 1
- Co-authors
- Alexander R. Pico (5 shared papers)Martina Kutmon (4 shared papers)Kristina Hanspers (4 shared papers)Andra Waagmeester (3 shared papers)Ryan A. Miller (3 shared papers)Chris T. Evelo (3 shared papers)Egon Willighagen (3 shared papers)Susan L. Coort (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Cell (1 paper)eLife (1 paper)Molecular Systems Biology (1 paper)Bioinformatics (1 paper)
- Partner nations
- United StatesNetherlandsAustria
In The Last Decade
Anders Riutta
11 papers receiving 2.2k citations
Anders Riutta's Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 809
- Cancer Research 91
- Aging 6
- Computational Theory and Mathematics 66
- Genetics 80
Countries citing papers authored by Anders Riutta
This map shows the geographic impact of Anders Riutta'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 Anders Riutta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anders Riutta more than expected).
Fields of papers citing papers by Anders Riutta
This network shows the impact of papers produced by Anders Riutta. 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 Anders Riutta. The network helps show where Anders Riutta may publish in the future.
Co-authors
The 25 scholars most cited alongside Anders Riutta, 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 | WikiPathways: a multifaceted pathway database bridging metabolomics to other omics research Hit paper breakdown → | 2017 | 670 |
| 2 | WikiPathways: connecting communities Hit paper breakdown → | 2020 | 587 |
| 3 | 2015 | 341 | |
| 4 | 2019 | 251 | |
| 5 | WikiPathways 2024: next generation pathway database Hit paper breakdown → | 2023 | 229 |
| 6 | 2020 | 76 | |
| 7 | 2021 | 58 | |
| 8 | 2016 | 26 | |
| 9 | 2020 | 24 | |
| 10 | 2021 | 12 | |
| 11 | 2023 | 3 |
About Anders Riutta
Anders Riutta is a scholar working on Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal, Infectious Diseases and Organic Chemistry, having authored 11 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Biomedical Text Mining and Ontologies (2 papers) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Molecular Biology (809 citations), Cancer Research (91 citations), Aging (6 citations), Computational Theory and Mathematics (66 citations) and Genetics (80 citations). Anders Riutta has collaborated with scholars based in United States, Netherlands and Austria. Frequent co-authors include Alexander R. Pico, Martina Kutmon, Kristina Hanspers, Andra Waagmeester, Ryan A. Miller, Chris T. Evelo, Egon Willighagen, Susan L. Coort, Ammar Ammar and Denise Slenter. Their work appears in journals such as Nucleic Acids Research, Cell, eLife, Molecular Systems Biology 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.