Jose E. Meza

819 citations
6 papers · 618 · h-index 6

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Metabolomics and Mass Spectrometry Studies
    • Ubiquitin and proteasome pathways
    • Machine Learning in Bioinformatics

Papers in

    • DNA Repair Mechanisms 2
    • Genetics, Bioinformatics, and Biomedical Research 2
    • Machine Learning in Bioinformatics 1
    • BRCA gene mutations in cancer 3
    • Estrogen and related hormone effects 1

Jose E. Meza

6 papers receiving 605 citations

Peers

Jose E. Meza
Comparison fields: 5 of 63
  • Spectroscopy 199
  • Molecular Biology 503
  • Genetics 183
  • Aging 7
  • Oncology 78
Replace Yaroslava Bulynko with:
Yaroslava Bulynko United States
Sharon Gauci Netherlands
Claudia Chica France
Doug Phanstiel United States
Nadia Taouatas Netherlands
Rajesh Gupta Australia
Josef Van Damme Belgium
John J. Jordan United States
Maja Gehre Germany
Valentine Rech de Laval Switzerland
Jose E. Meza relative to Yaroslava Bulynko United States Yaroslava Bulynko's profile →
Citations per field
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Yaroslava Bulynko · 1×
Citations per year

Countries citing papers authored by Jose E. Meza

Since Specialization
Citations

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

Fields of papers citing papers by Jose E. Meza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jose E. Meza. 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 Jose E. Meza. The network helps show where Jose E. Meza may publish in the future.

Co-authors

The 25 scholars most cited alongside Jose E. Meza, 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 Jose E. Meza Line = papers co-authored together Jose E. Meza links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Jose E. Meza

Jose E. Meza is a scholar working on Molecular Biology, Genetics, Spectroscopy, Cancer Research and Infectious Diseases, having authored 6 papers that have together received 618 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (3 papers), Mass Spectrometry Techniques and Applications (2 papers), DNA Repair Mechanisms (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Advanced Proteomics Techniques and Applications (1 paper), Machine Learning in Bioinformatics (1 paper), Estrogen and related hormone effects (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Spectroscopy (199 citations), Molecular Biology (503 citations), Genetics (183 citations), Aging (7 citations) and Oncology (78 citations). Jose E. Meza has collaborated with scholars based in United States and Australia. Frequent co-authors include Mary‐Claire King, Peter S. Brzović, Rachel E. Klevit, John A. Chakel, Joshua Adkins, Frédéric Schütz, Lisa Connolly, Jimmy K. Eng, Christine Miller and David Fenyö. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry, Genomics and PROTEOMICS.

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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