Dustin Ebert
Impact in
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Single-cell and spatial transcriptomics
- Aging top 5%
Papers in
-
- Bioinformatics and Genomic Networks 9
- Biomedical Text Mining and Ontologies 6
- Genomics and Phylogenetic Studies 6
- Genomics and Chromatin Dynamics 1
- Genetics 1
- Genomics and Rare Diseases 1
- Genetic Associations and Epidemiology 1
- Co-authors
- Paul D. Thomas (7 shared papers)Anushya Muruganujan (7 shared papers)Huaiyu Mi (7 shared papers)Xiaosong Huang (2 shared papers)Laurent‐Philippe Albou (2 shared papers)Tremayne Mushayahama (2 shared papers)Xinyu Guo (1 shared paper)Tanya Berardini (1 shared paper)
- Journals
- Nucleic Acids Research (5 papers)Genetics (3 papers)Plant Direct (1 paper)PLoS ONE (1 paper)Protein Science (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Dustin Ebert
14 papers receiving 9.7k citations
Dustin Ebert's Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 4.1k
- Aging 83
- Genetics 1.1k
- Cancer Research 473
- Developmental Neuroscience 88
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 17 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 | The Gene Ontology resource: enriching a GOld mine Hit paper breakdown → | 2020 | 2477 |
| 2 | PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis tools Hit paper breakdown → | 2018 | 2152 |
| 3 | The Gene Ontology knowledgebase in 2023 Hit paper breakdown → | 2023 | 1602 |
| 4 | PANTHER : Making genome‐scale phylogenetics accessible to all Hit paper breakdown → | 2021 | 1209 |
| 5 | Protocol Update for large-scale genome and gene function analysis with the PANTHER classification system (v.14.0) Hit paper breakdown → | 2019 | 1098 |
| 6 | PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive API Hit paper breakdown → | 2020 | 964 |
| 7 | 2019 | 130 | |
| 8 | 2022 | 71 | |
| 9 | 2024 | 36 | |
| 10 | 2020 | 32 | |
| 11 | 2020 | 14 | |
| 12 | 2025 | 14 | |
| 13 | 2022 | 3 | |
| 14 | 2024 | 1 |
About Dustin Ebert
Dustin Ebert is a scholar working on Molecular Biology, Genetics, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 14 papers that have together received 9.8k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Biomedical Text Mining and Ontologies (6 papers), Genomics and Phylogenetic Studies (6 papers), Genomics and Rare Diseases (1 paper), Genetic Associations and Epidemiology (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Molecular Biology (4.1k citations), Aging (83 citations), Genetics (1.1k citations), Cancer Research (473 citations) and Developmental Neuroscience (88 citations). Dustin Ebert has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Paul D. Thomas, Anushya Muruganujan, Huaiyu Mi, Xiaosong Huang, Laurent‐Philippe Albou, Tremayne Mushayahama, Xinyu Guo, Tanya Berardini, Leonore Reiser and Peifen Zhang. Their work appears in journals such as Nucleic Acids Research, Genetics, Plant Direct, PLoS ONE and Protein 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.