Nataša Jonoska
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Ecology
- Co-authors
- Masahico SaitoJérôme Durand-LoseNadrian C. SeemanReidun TwarockStephen A. KarlLaura F. LandweberKalpana MahalingamGrzegorz Rozenberg
- Topics
- DNA and Biological Computing (33 papers)Advanced biosensing and bioanalysis techniques (26 papers)DNA and Nucleic Acid Chemistry (14 papers)
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Nataša Jonoska
62 papers receiving 546 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 417
- Computational Theory and Mathematics 154
- Artificial Intelligence 97
- Mechanical Engineering 97
- Ecology 55
Countries citing papers authored by Nataša Jonoska
This map shows the geographic impact of Nataša Jonoska'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 Nataša Jonoska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataša Jonoska more than expected).
Fields of papers citing papers by Nataša Jonoska
This network shows the impact of papers produced by Nataša Jonoska. 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 Nataša Jonoska. The network helps show where Nataša Jonoska may publish in the future.
Co-authorship network of co-authors of Nataša Jonoska
This figure shows the co-authorship network connecting the top 25 collaborators of Nataša Jonoska. A scholar is included among the top collaborators of Nataša Jonoska 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 Nataša Jonoska. Nataša Jonoska 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 | 7 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 13 | |
| 6 | 24 | |
| 7 | 9 | |
| 8 | 11 | |
| 9 | Pursuit of the Universal : 12th Conference on Computability in Europe, CiE 2016, Paris, France, June 27 - July 1, 2016, Proceedings | 3 |
| 10 | 6 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 17 | |
| 16 | Self-assembling DNA graphs | 2 |
| 17 | Genetic and evolutionary computation - GECCO 2003 : Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003 : proceedings | 1 |
| 18 | 2 | |
| 19 | 5 | |
| 20 | Constants in factorial and prolongable languages | 1 |
About Nataša Jonoska
Nataša Jonoska is a scholar working on Computational Theory and Mathematics, Molecular Biology and Mathematical Physics, having authored 68 papers that have together received 577 indexed citations. Recurring topics across this work include DNA and Biological Computing (33 papers), Advanced biosensing and bioanalysis techniques (26 papers) and DNA and Nucleic Acid Chemistry (14 papers). The work is most often cited by research in Computational Theory and Mathematics (154 citations), Molecular Biology (417 citations) and Mathematical Physics (33 citations). Nataša Jonoska has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Masahico Saito, Jérôme Durand-Lose, Nadrian C. Seeman, Reidun Twarock, Stephen A. Karl, Laura F. Landweber, Kalpana Mahalingam, Grzegorz Rozenberg, Gheorghe Pǎun and Brian Marcus. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.
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.