Robert Bever

554 citations
10 papers · 467 · h-index 5

Impact in

Papers in

    • Bacterial Genetics and Biotechnology 2
    • Forensic and Genetic Research 2
    • RNA and protein synthesis mechanisms 3
    • Genomics and Phylogenetic Studies 1

Robert Bever

10 papers receiving 445 citations

Peers

Robert Bever
Comparison fields: 5 of 78
  • Biotechnology 68
  • Molecular Medicine 35
  • Endocrinology 34
  • Genetics 176
  • Molecular Biology 296
Replace Fengfeng Xu with:
Fengfeng Xu United States
Toon Swings Belgium
Abdelhakim Ben Nasr United States
Manjistha Sengupta United States
Alex J. Pollock United States
Seiji N. Sugiman‐Marangos Canada
Yogesh Patel United States
Dominique Villeval France
Jourica A. Brandsma Netherlands
Sally D. Bolmer United States
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Citations per field
00.5×2×3×3.5×
Fengfeng Xu · 1×
Citations per year

Countries citing papers authored by Robert Bever

Since Specialization
Citations

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

Fields of papers citing papers by Robert Bever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1988205
2 1989104
3 199873
4 198756
5 201715
6 20235
7 19944
8 19942
9 20042
10 20261

About Robert Bever

Robert Bever is a scholar working on Genetics, Molecular Biology, Health Information Management, Agronomy and Crop Science and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 467 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (2 papers), Forensic and Genetic Research (2 papers), Genomics and Phylogenetic Studies (1 paper), Digital Imaging for Blood Diseases (1 paper), T-cell and Retrovirus Studies (1 paper), Data-Driven Disease Surveillance (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Biotechnology (68 citations), Molecular Medicine (35 citations), Endocrinology (34 citations), Genetics (176 citations) and Molecular Biology (296 citations). Robert Bever has collaborated with scholars based in United States, Denmark and France. Frequent co-authors include Barbara H. Iglewski, G N Abraham, Irvin S. Y. Chen, András Perl, Joseph D. Rosenblatt, Larry F. Hanne, Péter Schád, Thalia I. Nicas, Cynthia J. Sprecher and Jack A. Taylor. Their work appears in journals such as Journal of Bacteriology, Forensic Science International Genetics, Journal of Forensic Sciences, International Journal of Legal Medicine 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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