Peter Meric

23.1k citations
2 papers · 73 · 1 hit paper · h-index 2

Impact in

Papers in

    • Genomics and Phylogenetic Studies 1
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Gene expression and cancer classification 1
    • Research Data Management Practices 1

Peter Meric

2 papers receiving 72 citations

Peter Meric's Hit Papers

Exploring and retrieving sequence and metadata for species across the tree of life with NCBI Datasets 2024 · 69 citations
690+1Years since publication204060

Peers

Peter Meric
Comparison fields: 5 of 35
  • Molecular Medicine 5
  • Microbiology 5
  • Genetics 19
  • Endocrinology 3
  • Molecular Biology 39
Replace Pierre Marijon with:
Pierre Marijon France
Paula Ruiz-Hueso Spain
Philippe Chlenski United States
Esther Da Costa United States
Hamid Mirebrahim United States
Zhengyu Gao China
Ruben H.P. Vorderman Netherlands
Artyom A. Egorov Sweden
Ivan Topolsky Switzerland
Hermione J. Webster United Kingdom
Peter Meric relative to Pierre Marijon France Pierre Marijon's profile →
Citations per field
00.5×6.1×
Pierre Marijon · 1×
Citations per year

Countries citing papers authored by Peter Meric

Since Specialization
Citations

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

Fields of papers citing papers by Peter Meric

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Peter Meric, 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 Peter Meric Line = papers co-authored together Peter Meric links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown
#Work
1
Exploring and retrieving sequence and metadata for species across the tree of life with NCBI Datasets
Hit paper breakdown →
202469
2 20124

About Peter Meric

Peter Meric is a scholar working on Molecular Biology, Information Systems, Information Systems and Management, Ecological Modeling and Infectious Diseases, having authored 2 papers that have together received 73 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), Gene expression and cancer classification (1 paper), Scientific Computing and Data Management (1 paper), Research Data Management Practices (1 paper) and Species Distribution and Climate Change (1 paper). The work is most often cited by research in Molecular Medicine (5 citations), Microbiology (5 citations), Genetics (19 citations), Endocrinology (3 citations) and Molecular Biology (39 citations). Peter Meric has collaborated with scholars based in United States. Frequent co-authors include Nuala A. O’Leary, Mirian T. N. Tsuchiya, Eric Cox, WF Anderson, Valérie Schneider, Hsiu-Chuan Chen, Zhigang Zhou, Nathan Bouk, Deanna M. Church and Donna Maglott. Their work appears in journals such as Scientific Data and Nucleic Acids Research.

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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