Guy Wolf
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Aging top 5%
Papers in
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- Neural Networks and Applications 10
- Advanced Graph Neural Networks 7
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- Single-cell and spatial transcriptomics 14
- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 7
- Co-authors
- Smita Krishnaswamy (30 shared papers)David van Dijk (13 shared papers)Kevin R. Moon (15 shared papers)Kristina Yim (7 shared papers)Linas Mažutis (2 shared papers)Cassandra Burdziak (2 shared papers)Brian Bierie (2 shared papers)Diwakar R. Pattabiraman (2 shared papers)
- Journals
- Applied and Computational Harmonic Analysis (7 papers)Nature Biotechnology (3 papers)IEEE Transactions on Signal Processing (2 papers)Nature Methods (2 papers)Nature Computational Science (1 paper)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Guy Wolf
66 papers receiving 2.3k citations
Guy Wolf's Hit Papers
Peers
Comparison fields: 5 of 150
- Biophysics 321
- Aging 43
- Cancer Research 312
- Molecular Biology 1.5k
- Immunology 284
Countries citing papers authored by Guy Wolf
This map shows the geographic impact of Guy Wolf'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 Guy Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Wolf more than expected).
Fields of papers citing papers by Guy Wolf
This network shows the impact of papers produced by Guy Wolf. 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 Guy Wolf. The network helps show where Guy Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Guy Wolf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recovering Gene Interactions from Single-Cell Data Using Data Diffusion Hit paper breakdown → | 2018 | 996 |
| 2 | Visualizing structure and transitions in high-dimensional biological data Hit paper breakdown → | 2019 | 562 |
| 3 | 2019 | 202 | |
| 4 | 2021 | 89 | |
| 5 | 2017 | 78 | |
| 6 | 2021 | 56 | |
| 7 | 2020 | 26 | |
| 8 | 2023 | 21 | |
| 9 | Manifold Interpolating Optimal-Transport Flows for Trajectory Inference. | 2022 | 16 |
| 10 | 2018 | 15 | |
| 11 | 2021 | 12 | |
| 12 | 2015 | 11 | |
| 13 | 2018 | 10 | |
| 14 | 2022 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2014 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2014 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 2022 | 8 |
About Guy Wolf
Guy Wolf is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Biophysics and Computational Theory and Mathematics, having authored 69 papers that have together received 2.3k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (14 papers), Cell Image Analysis Techniques (12 papers), Neural Networks and Applications (10 papers), Bioinformatics and Genomic Networks (8 papers), Topological and Geometric Data Analysis (7 papers), Gene expression and cancer classification (7 papers), Advanced Graph Neural Networks (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). The work is most often cited by research in Biophysics (321 citations), Aging (43 citations), Cancer Research (312 citations), Molecular Biology (1.5k citations) and Immunology (284 citations). Guy Wolf has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Smita Krishnaswamy, David van Dijk, Kevin R. Moon, Kristina Yim, Linas Mažutis, Cassandra Burdziak, Brian Bierie, Diwakar R. Pattabiraman, Pooja Kathail and Ambrose Carr. Their work appears in journals such as Applied and Computational Harmonic Analysis, Nature Biotechnology, IEEE Transactions on Signal Processing, Nature Methods and Nature Computational Science.
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.