Benjamin Reeve

840 citations
7 papers · 572 · h-index 7

Impact in

Papers in

    • Gene Regulatory Network Analysis 2
    • RNA and protein synthesis mechanisms 2
    • Epigenetics and DNA Methylation 1
    • Bacterial Genetics and Biotechnology 2

Benjamin Reeve

7 papers receiving 559 citations

Peers

Benjamin Reeve
Comparison fields: 5 of 92
  • Biomaterials 156
  • Biotechnology 78
  • Molecular Biology 336
  • Genetics 114
  • Biomedical Engineering 166
Replace Charlie Gilbert with:
Charlie Gilbert United Kingdom
Qiang Ding China
Felix Moser United States
Anton Kan United States
María Eugenia Inda Argentina
Pei Kun R. Tay United States
Cameron J. Hunt Australia
Hye Jin Lim South Korea
Jiahua Pu China
Etai Shpigel Israel
Benjamin Reeve relative to Charlie Gilbert United Kingdom Charlie Gilbert's profile →
Citations per field
00.5×2.9×
Charlie Gilbert · 1×
Citations per year

Countries citing papers authored by Benjamin Reeve

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Reeve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Benjamin Reeve, 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 Benjamin Reeve Line = papers co-authored together Benjamin Reeve links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2016183
2 2014149
3 201382
4 200979
5 201662
6 201410
7
The lotus case
19907

About Benjamin Reeve

Benjamin Reeve is a scholar working on Molecular Biology, Genetics, Biotechnology, Biomedical Engineering and Ecology, having authored 7 papers that have together received 572 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (2 papers), RNA and protein synthesis mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), Enzyme Production and Characterization (2 papers), Epigenetics and DNA Methylation (1 paper), Molecular Communication and Nanonetworks (1 paper), Cancer Research and Treatments (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Biomaterials (156 citations), Biotechnology (78 citations), Molecular Biology (336 citations), Genetics (114 citations) and Biomedical Engineering (166 citations). Benjamin Reeve has collaborated with scholars based in United Kingdom. Frequent co-authors include Tom Ellis, Charlie Gilbert, Paul S. Freemont, James Abbott, Francesca Ceroni, Haroon Chughtai, Deze Kong, Kirsten Jensen, R.I. Kitney and Pam Siggers. Their work appears in journals such as Scientific Reports, ACS Synthetic Biology, Human Molecular Genetics, Proceedings of the National Academy of Sciences and Frontiers in Bioengineering and Biotechnology.

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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