Vichet Hem

1.9k citations
5 papers · 979 · 1 hit paper · h-index 4

Impact in

    • Genomics and Phylogenetic Studies
    • Bioinformatics and Genomic Networks
    • Biomedical Text Mining and Ontologies
    • Genomics and Rare Diseases
    • Genetic Associations and Epidemiology

Papers in

    • Genomics and Phylogenetic Studies 4
    • Bioinformatics and Genomic Networks 1
    • Biomedical Text Mining and Ontologies 1
    • Research Data Management Practices 1

Vichet Hem

5 papers receiving 956 citations

Vichet Hem's Hit Papers

Gene: a gene-centered information resource at NCBI 2014 · 535 citations
5350+4+8Years since publication100200300400500

Peers

Vichet Hem
Comparison fields: 5 of 105
  • Molecular Biology 491
  • Genetics 162
  • Computational Theory and Mathematics 72
  • Pharmacology 35
  • Cancer Research 44
Replace Shun Ikeda with:
Shun Ikeda Japan
Benjamin S Pullman United States
Javier Pérez-Florido Spain
Shahid Banday United States
Arvind K. Chavali United States
Qinglan Sun China
Anastasia Sveshnikova Switzerland
Marouen Ben Guebila United States
Jennifer G. Catalano United States
German Preciat Luxembourg
Vichet Hem relative to Shun Ikeda Japan Shun Ikeda's profile →
Citations per field
00.5×1.5×2.2×
Shun Ikeda · 1×
Citations per year

Countries citing papers authored by Vichet Hem

Since Specialization
Citations

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

Fields of papers citing papers by Vichet Hem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

About Vichet Hem

Vichet Hem is a scholar working on Molecular Biology, Information Systems, Genetics, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 5 papers that have together received 979 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Genomics and Rare Diseases (1 paper), Bioinformatics and Genomic Networks (1 paper), Research Data Management Practices (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Molecular Biology (491 citations), Genetics (162 citations), Computational Theory and Mathematics (72 citations), Pharmacology (35 citations) and Cancer Research (44 citations). Vichet Hem has collaborated with scholars based in United States. Frequent co-authors include Tatiana A. Tatusova, Kim D. Pruitt, Terence D. Murphy, Craig Wallin, Garth Brown, Michael Ovetsky, Igor Tolstoy, Olga D. Ermolaeva, Kenneth Katz and Donna R. Maglott. Their work appears in journals such as Nucleic Acids Research and Journal of Molecular Evolution.

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