Gregory W. Gundersen
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA Research and Splicing
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
Papers in
-
- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 6
- Genetics, Bioinformatics, and Biomedical Research 2
- RNA modifications and cancer 1
- Machine Learning in Bioinformatics 1
- Single-cell and spatial transcriptomics 1
- Co-authors
- Avi Ma’ayanNicolas FernandezZichen WangCaroline D. MonteiroAndrew D. RouillardAlexander LachmannMaxim V. KuleshovMatthew R. Jones
- Journals
- Nucleic Acids Research (2 papers)BMC Bioinformatics (1 paper)Scientific Data (1 paper)eLife (1 paper)Journal of Microscopy (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Gregory W. Gundersen
11 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Cancer Research 1.3k
- Molecular Biology 4.7k
- Immunology 1.1k
- Aging 78
- Biological Psychiatry 97
Countries citing papers authored by Gregory W. Gundersen
This map shows the geographic impact of Gregory W. Gundersen'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 Gregory W. Gundersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory W. Gundersen more than expected).
Fields of papers citing papers by Gregory W. Gundersen
This network shows the impact of papers produced by Gregory W. Gundersen. 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 Gregory W. Gundersen. The network helps show where Gregory W. Gundersen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gregory W. Gundersen, 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 | 2020 | 64 | |
| 2 | End-to-end Training of Deep Probabilistic CCA on Paired Biomedical Observations. | 2019 | 5 |
| 3 | 2018 | 133 | |
| 4 | 2017 | 154 | |
| 5 | Enrichr: a comprehensive gene set enrichment analysis web server 2016 update Hit paper breakdown → | 2016 | 6065 |
| 6 | 2016 | 16 | |
| 7 | The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins Hit paper breakdown → | 2016 | 997 |
| 8 | 2016 | 10 | |
| 9 | 2016 | 10 | |
| 10 | 2015 | 42 | |
| 11 | 1979 | 86 |
About Gregory W. Gundersen
Gregory W. Gundersen is a scholar working on Biophysics, Molecular Biology, Artificial Intelligence, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 11 papers that have together received 7.6k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (6 papers), Machine Learning and Data Classification (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), RNA modifications and cancer (1 paper), Machine Learning in Bioinformatics (1 paper), Neural dynamics and brain function (1 paper) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Cancer Research (1.3k citations), Molecular Biology (4.7k citations), Immunology (1.1k citations), Aging (78 citations) and Biological Psychiatry (97 citations). Gregory W. Gundersen has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Avi Ma’ayan, Nicolas Fernandez, Zichen Wang, Caroline D. Monteiro, Andrew D. Rouillard, Alexander Lachmann, Maxim V. Kuleshov, Matthew R. Jones, Kathleen M. Jagodnik and Qiaonan Duan. Their work appears in journals such as Nucleic Acids Research, BMC Bioinformatics, Scientific Data, eLife and Journal of Microscopy.
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.