Dustin Ebert

17.8k citations
8 papers · 4.7k indexed · 4 hit papers · h-index 6
    • Bioinformatics and Genomic Networks 6
    • Genomics and Phylogenetic Studies 5
    • Machine Learning in Bioinformatics 2
    • Gene expression and cancer classification 2
    • Cancer-related gene regulation 1
  • Aging top 5%
  • Genetics top 5%
    • Genomics and Rare Diseases 1
    • Genetic diversity and population structure 1
    • Genetic Associations and Epidemiology 1
  • Immunology top 5%

Dustin Ebert

7 papers receiving 4.7k citations

Hit Papers

PANTHER: Making genome‐scale phylogenetics accessible ...896201820262020202350010001.5k

Peers

Dustin Ebert
Comparison fields: 5 of 147
  • Molecular Biology 2.9k
  • Aging 71
  • Cancer Research 541
  • Genetics 660
  • Immunology 455
Replace Xiaosong Huang with:
Xiaosong Huang United States
Jun Zhang China
Nives Škunca Switzerland
Ge Tan Switzerland
Hubert Rehrauer Switzerland
Attila Csordás United Kingdom
Stefan A. Haas Germany
Guglielmo Roma Switzerland
Willem M.H. Hoogaars Netherlands
Dapeng Zhang China
Dustin Ebert relative to Xiaosong Huang United States Xiaosong Huang's profile →
Citations per field
00.5×1.7×
Xiaosong Huang · 1×
Citations per year

Countries citing papers authored by Dustin Ebert

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Dustin Ebert Line = papers co-authored together Dustin Ebert links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 20240
2 20222
3
PANTHER: Making genome‐scale phylogenetics accessible to allbreakdown →
2021896
4 202013
5
PANTHER version 16: a revised family classification, tree-based classification tool, enhancer regions and extensive APIbreakdown →
2020862
6 202026
7
Protocol Update for large-scale genome and gene function analysis with the PANTHER classification system (v.14.0)breakdown →
2019967
8
PANTHER version 14: more genomes, a new PANTHER GO-slim and improvements in enrichment analysis toolsbreakdown →
20181928

About Dustin Ebert

Dustin Ebert is a scholar working on Molecular Biology, Genetics and Infectious Diseases, having authored 8 papers that have together received 4.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Genomics and Phylogenetic Studies (5 papers), Machine Learning in Bioinformatics (2 papers), Gene expression and cancer classification (2 papers), Genomics and Rare Diseases (1 paper), Genetic diversity and population structure (1 paper), Genetic Associations and Epidemiology (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Molecular Biology (2.9k citations), Aging (71 citations) and Cancer Research (541 citations). Dustin Ebert has collaborated with scholars based in United States and China. Frequent co-authors include Anushya Muruganujan, Paul D. Thomas, Xiaosong Huang, Huaiyu Mi, Laurent‐Philippe Albou, Tremayne Mushayahama, Xinyu Guo, Eva Huala, Qian Li and Leonore Reiser. Their work appears in journals such as Nucleic Acids Research, PLoS Computational Biology, Nature Protocols, 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.

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2026