Galt P Barber

21.1k total citations · 2 hit papers
4 papers, 1.1k citations indexed

About

Galt P Barber is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Galt P Barber has authored 4 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Plant Science. Recurrent topics in Galt P Barber's work include Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (2 papers) and Genomics and Rare Diseases (1 paper). Galt P Barber is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), RNA modifications and cancer (2 papers) and Genomics and Rare Diseases (1 paper). Galt P Barber collaborates with scholars based in United States and Germany. Galt P Barber's co-authors include Hiram Clawson, Brian J. Raney, Ann S. Zweig, Angie S. Hinrichs, Maximilian Haeussler, Jonathan D. Casper, Jairo Navarro Gonzalez, Matthew L Speir, Mark Diekhans and Brian T. Lee and has published in prestigious journals such as Nucleic Acids Research and Bioinformatics.

In The Last Decade

Galt P Barber

4 papers receiving 1.0k citations

Hit Papers

The UCSC Genome Browser database: 2019 update 2018 2026 2020 2023 2018 2024 100 200 300 400 500

Peers

Galt P Barber
Comparison fields: 5 of 91
  • Molecular Biology 805
  • Cancer Research 230
  • Genetics 228
  • Plant Science 99
  • Oncology 71
Replace Brian T. Lee with:
Brian T. Lee United States
Idan Gabdank United States
Jairo Navarro Gonzalez United States
Yuanyan Xiong China
Anna Díez-Villanueva Spain
J. Seth Strattan United States
Xueqiu Lin United States
Swarnaseetha Adusumalli Singapore
Pengpeng Liu China
Vanja Haberle Austria
Brian T. Lee United States View profile →
Citations per field, relative to Galt P Barber
Galt P Barber · 1×
Citations per year, relative to Galt P Barber
Galt P Barber · 1×

Countries citing papers authored by Galt P Barber

Since Specialization
Citations

This map shows the geographic impact of Galt P Barber'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 Galt P Barber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Galt P Barber more than expected).

Fields of papers citing papers by Galt P Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Galt P Barber. 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 Galt P Barber. The network helps show where Galt P Barber may publish in the future.

Co-authorship network of co-authors of Galt P Barber

This figure shows the co-authorship network connecting the top 25 collaborators of Galt P Barber. A scholar is included among the top collaborators of Galt P Barber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Galt P Barber. Galt P Barber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
# Work Indexed citations
1
The UCSC Genome Browser database: 2025 update breakdown →
113
2 136
3
The UCSC Genome Browser database: 2019 update breakdown →
547
4 254

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026