Rina Anno
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
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- Algebraic structures and combinatorial models 6
- Algebraic Geometry and Number Theory 2
- Geometry and complex manifolds 1
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- Homotopy and Cohomology in Algebraic Topology 5
- Advanced Algebra and Geometry 4
- Co-authors
- Jennifer Snyder‐CappioneRichard HalpertJosef ŠpidlenAnna C. BelkinaRoman BezrukavnikovIvan Mirković
- Journals
- Advances in Mathematics (2 papers)Moscow Mathematical Journal (1 paper)Nature Communications (1 paper)Transactions of the American Mathematical Society (1 paper)International Mathematics Research Notices (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Rina Anno
10 papers receiving 395 citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Biophysics 27
- Immunology 78
- Geometry and Topology 30
- Mathematical Physics 26
- Artificial Intelligence 80
Countries citing papers authored by Rina Anno
This map shows the geographic impact of Rina Anno'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 Rina Anno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rina Anno more than expected).
Fields of papers citing papers by Rina Anno
This network shows the impact of papers produced by Rina Anno. 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 Rina Anno. The network helps show where Rina Anno may publish in the future.
Co-authors
The 6 scholars most cited alongside Rina Anno, 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 | 2022 | 1 | |
| 2 | 2020 | 3 | |
| 3 | Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets Hit paper breakdown → | 2019 | 374 |
| 4 | 2015 | 4 | |
| 5 | 2015 | 8 | |
| 6 | 2012 | 11 | |
| 7 | A thin stringy moduli space for Slodowy slices | 2011 | 2 |
| 8 | On taking twists of Fourier-Mukai transforms | 2010 | 1 |
| 9 | 2003 | 1 | |
| 10 | 2003 | 5 |
About Rina Anno
Rina Anno is a scholar working on Geometry and Topology, Mathematical Physics, Computer Graphics and Computer-Aided Design, Algebra and Number Theory and Biophysics, having authored 10 papers that have together received 410 indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (6 papers), Homotopy and Cohomology in Algebraic Topology (5 papers), Advanced Algebra and Geometry (4 papers), Algebraic Geometry and Number Theory (2 papers), Black Holes and Theoretical Physics (2 papers), Single-cell and spatial transcriptomics (1 paper), Geometry and complex manifolds (1 paper) and Computer Graphics and Visualization Techniques (1 paper). The work is most often cited by research in Biophysics (27 citations), Immunology (78 citations), Geometry and Topology (30 citations), Mathematical Physics (26 citations) and Artificial Intelligence (80 citations). Rina Anno has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Jennifer Snyder‐Cappione, Richard Halpert, Josef Špidlen, Anna C. Belkina, Roman Bezrukavnikov and Ivan Mirković. Their work appears in journals such as Advances in Mathematics, Moscow Mathematical Journal, Nature Communications, Transactions of the American Mathematical Society and International Mathematics Research Notices.
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.