Joel Weiser

18.1k citations
5 papers · 60 · h-index 4

Impact in

    • Genomics and Phylogenetic Studies
    • Bioinformatics and Genomic Networks
    • Microbial Metabolic Engineering and Bioproduction
    • Photosynthetic Processes and Mechanisms
    • Metabolomics and Mass Spectrometry Studies
    • Gene expression and cancer classification
    • Plant-Microbe Interactions and Immunity

Papers in

    • Bioinformatics and Genomic Networks 4
    • Microbial Metabolic Engineering and Bioproduction 2
    • Photosynthetic Processes and Mechanisms 1
    • Biomedical Text Mining and Ontologies 1
    • Plant biochemistry and biosynthesis 1
    • Plant Gene Expression Analysis 1
    • Advanced Proteomics Techniques and Applications 1

Joel Weiser

5 papers receiving 57 citations

Peers

Joel Weiser
Comparison fields: 5 of 32
  • Molecular Biology 44
  • Plant Science 18
  • Biotechnology 3
  • Information Systems and Management 2
  • Occupational Therapy 1
Replace Hansong Yan with:
Hansong Yan China
Wenhui Pi China
Michael G. Kiflezghi United States
Raúl de la Puente Spain
Liliana Antunes United Kingdom
Zhi-Wei Zhou China
Khi Pin Chua Singapore
Advait Subramanian Italy
Mohd Amin Ab Halim Malaysia
María Magdalena Echeverry Colombia
Joel Weiser relative to Hansong Yan China Hansong Yan's profile →
Citations per field
00.5×
Hansong Yan · 1×
Citations per year

Countries citing papers authored by Joel Weiser

Since Specialization
Citations

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

Fields of papers citing papers by Joel Weiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Joel Weiser

Joel Weiser is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 60 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Biomedical Text Mining and Ontologies (1 paper), Plant biochemistry and biosynthesis (1 paper), Plant Gene Expression Analysis (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (44 citations), Plant Science (18 citations), Biotechnology (3 citations), Information Systems and Management (2 citations) and Occupational Therapy (1 citation). Joel Weiser has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Lincoln Stein, Guanming Wu, Sushma Naithani, Parul Gupta, Doreen Ware, Pankaj Jaiswal, Maria Keays, Robert Petryszak, Peter D’Eustachio and Antonio Fabregat. Their work appears in journals such as Database, Nucleic Acids Research, Current Protocols in Bioinformatics and Faculty of 1000 Research Ltd.

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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