Liam Gonzalez

681 citations
3 papers · 185 · 1 hit paper · h-index 2

Impact in

    • Genomics and Phylogenetic Studies
    • RNA and protein synthesis mechanisms
    • Machine Learning in Bioinformatics
    • Genomics and Chromatin Dynamics
    • Genetics, Bioinformatics, and Biomedical Research
    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks

Papers in

    • Genomics and Phylogenetic Studies 2
    • Machine Learning in Bioinformatics 2
    • RNA and protein synthesis mechanisms 1
    • Genetic and Environmental Crop Studies 1

Liam Gonzalez

3 papers receiving 183 citations

Liam Gonzalez's Hit Papers

Nucleotide Transformer: building and evaluating robust foundation models for human genomics 2024 · 143 citations
1430+1Years since publication4080120

Peers

Liam Gonzalez
Comparison fields: 5 of 36
  • Health Informatics 3
  • Molecular Biology 84
  • Artificial Intelligence 25
  • Genetics 20
  • Business and International Management 1
Replace Hugo Dalla-Torre with:
Hugo Dalla-Torre United States
Evan Trop United States
Karim Beguir Germany
Nicolás López Carranza United Kingdom
Hassan Sirelkhatim United States
Guillaume Richard Germany
Oindrila Saha United States
M. Lopez United States
Aaron Lou United States
Petra Philips Germany
Liam Gonzalez relative to Hugo Dalla-Torre United States Hugo Dalla-Torre's profile →
Citations per field
00.5×1.5×
Hugo Dalla-Torre · 1×
Citations per year

Countries citing papers authored by Liam Gonzalez

Since Specialization
Citations

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

Fields of papers citing papers by Liam Gonzalez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liam Gonzalez. 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 Liam Gonzalez. The network helps show where Liam Gonzalez may publish in the future.

Co-authors

The 19 scholars most cited alongside Liam Gonzalez, 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 Liam Gonzalez Line = papers co-authored together Liam Gonzalez links everyone, so they are left out of the graph.

All Works

3 of 3 papers shown

About Liam Gonzalez

Liam Gonzalez is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 185 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Machine Learning in Bioinformatics (2 papers), Genetic and Environmental Crop Studies (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Health Informatics (3 citations), Molecular Biology (84 citations), Artificial Intelligence (25 citations), Genetics (20 citations) and Business and International Management (1 citation). Liam Gonzalez has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Thomas Pierrot, Hugo Dalla-Torre, Karim Beguir, Nicolás López Carranza, Javier Mendoza‐Revilla, Bernardo P. de Almeida, Marcin J. Skwark, Evan Trop, Hassan Sirelkhatim and M. Lopez. Their work appears in journals such as Nature Methods and Communications 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.

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