Dustin Ebert
Impact in
- Aging top 5%
- Molecular Biology top 2%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
Papers in
-
- Bioinformatics and Genomic Networks 6
- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 2
- Machine Learning in Bioinformatics 2
- Genomics and Chromatin Dynamics 1
- Biomedical Text Mining and Ontologies 1
- Plant Gene Expression Analysis 1
- Genetics 2
- Genomics and Rare Diseases 1
- Co-authors
- Paul D. Thomas (7 shared papers)Anushya Muruganujan (8 shared papers)Xiaosong Huang (2 shared papers)Huaiyu Mi (6 shared papers)Laurent‐Philippe Albou (2 shared papers)Tremayne Mushayahama (3 shared papers)Xinyu Guo (1 shared paper)Tanya Berardini (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)PLoS ONE (1 paper)Nature Protocols (1 paper)BMC Genomics (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Dustin Ebert
7 papers receiving 4.9k citations
Dustin Ebert's Hit Papers
Peers
Comparison fields: 5 of 145
- Aging 75
- Molecular Biology 2.7k
- Cancer Research 460
- Genetics 626
- Immunology 413
Countries citing papers authored by Dustin Ebert
This map shows the geographic impact of Dustin Ebert'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 Dustin Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dustin Ebert more than expected).
Fields of papers citing papers by Dustin Ebert
This network shows the impact of papers produced by Dustin Ebert. 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 Dustin Ebert. The network helps show where Dustin Ebert may publish in the future.
Co-authors
The 16 scholars most cited alongside Dustin Ebert, 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 | PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools Hit paper breakdown → | 2018 | 1976 |
| 2 | 2021 | 1010 | |
| 3 | Protocol Update for large-scale genome and gene function analysis with the PANTHER classification system (v.14.0) Hit paper breakdown → | 2019 | 1003 |
| 4 | PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API Hit paper breakdown → | 2020 | 899 |
| 5 | 2020 | 27 | |
| 6 | 2020 | 13 | |
| 7 | 2022 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2026 | 0 |
About Dustin Ebert
Dustin Ebert is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Organic Chemistry and Surgery, having authored 9 papers that have together received 4.9k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Genomics and Phylogenetic Studies (5 papers), Gene expression and cancer classification (2 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Rare Diseases (1 paper), Genomics and Chromatin Dynamics (1 paper), Biomedical Text Mining and Ontologies (1 paper) and Plant Gene Expression Analysis (1 paper). The work is most often cited by research in Aging (75 citations), Molecular Biology (2.7k citations), Cancer Research (460 citations), Genetics (626 citations) and Immunology (413 citations). Dustin Ebert has collaborated with scholars based in United States and China. Frequent co-authors include Paul D. Thomas, Anushya Muruganujan, Xiaosong Huang, Huaiyu Mi, Laurent‐Philippe Albou, Tremayne Mushayahama, Xinyu Guo, Tanya Berardini, Juan Pablo Lewinger and Eva Huala. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Nature Protocols, BMC Genomics and PLoS Computational Biology.
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.