Peter Cameron

1.2k citations
5 papers · 326 · 1 hit paper · h-index 5

Impact in

Papers in

Peter Cameron

5 papers receiving 321 citations

Peter Cameron's Hit Papers

Design of highly functional genome editors by modelling CRISPR–Cas sequences 2025 · 37 citations
370Years since publication102030

Peers

Peter Cameron
Comparison fields: 5 of 34
  • Business and International Management 50
  • Aging 25
  • Molecular Biology 292
  • Genetics 49
  • Insect Science 16
Replace Sylvain Éthier with:
Sylvain Éthier Canada
Gregory Gotta United States
Alexis Duringer Canada
Pietro De Angeli Germany
Mu‐Sen Liu United States
Bastien Vidal United States
Huanhuan Shan China
Eric Edward Bryant United States
Keewon Sung South Korea
Shengyao Zhi China
Peter Cameron relative to Sylvain Éthier Canada Sylvain Éthier's profile →
Citations per field
00.5×
Sylvain Éthier · 1×
Citations per year

Countries citing papers authored by Peter Cameron

Since Specialization
Citations

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

Fields of papers citing papers by Peter Cameron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2022131
2 2018100
3 202146
4
Design of highly functional genome editors by modelling CRISPR–Cas sequences
Hit paper breakdown →
202537
5 201712

About Peter Cameron

Peter Cameron is a scholar working on Molecular Biology, Business and International Management, Immunology, Insect Science and Infectious Diseases, having authored 5 papers that have together received 326 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), RNA regulation and disease (1 paper), Insect symbiosis and bacterial influences (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Innovation and Socioeconomic Development (1 paper). The work is most often cited by research in Business and International Management (50 citations), Aging (25 citations), Molecular Biology (292 citations), Genetics (49 citations) and Insect Science (16 citations). Peter Cameron has collaborated with scholars based in United States, Switzerland and Mongolia. Frequent co-authors include Paul D. Donohoue, Martin Jínek, Matthew J. Irby, Giulia Palermo, Chun‐Han Lin, Aakash Saha, Katja Bargsten, Pablo Arantes, Frédéric H.‐T. Allain and Antoine Cléry. Their work appears in journals such as Cell, Genome biology, Nature, Molecular Cell and Protocol Exchange.

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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