Peter C. DeWeirdt

2.1k citations
8 papers · 586 indexed · 2 hit papers · h-index 8
Topics
CRISPR and Genetic Engineering (6 papers)RNA and protein synthesis mechanisms (4 papers)Protein Degradation and Inhibitors (2 papers)
Partner nations
United States

In The Last Decade

Peter C. DeWeirdt

8 papers receiving 583 citations

Hit Papers

Massively parallel assessment of human variants with base...20212026202220242021202150100150200

Peers

Peter C. DeWeirdt
Comparison fields: 5 of 60
  • Molecular Biology 504
  • Genetics 98
  • Infectious Diseases 65
  • Oncology 62
  • Immunology 49
Replace Laetitia Maroc with:
Laetitia Maroc Canada
Bicna Song United States
Alejandro Méndez‐Mancilla United States
Ruochi Zhang United States
Martin Pačesa Switzerland
Maria Virgilio United States
Benjamin P. Roscoe United States
Hillary L. Logan United States
Natalie A. Twine Australia
Peter C. DeWeirdt relative to Laetitia Maroc Canada Laetitia Maroc's profile →
Citations per field
00.5×10.1×
Laetitia Maroc · 1×
Citations per year

Countries citing papers authored by Peter C. DeWeirdt

Since Specialization
Citations

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

Fields of papers citing papers by Peter C. DeWeirdt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter C. DeWeirdt

This figure shows the co-authorship network connecting the top 25 collaborators of Peter C. DeWeirdt. A scholar is included among the top collaborators of Peter C. DeWeirdt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter C. DeWeirdt. Peter C. DeWeirdt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 7
2 19
3 30
4
Discovery and functional interrogation of SARS-CoV-2 RNA-host protein interactionsbreakdown →
130
5
Massively parallel assessment of human variants with base editor screensbreakdown →
202
6 16
7 110
8 72

About Peter C. DeWeirdt

Peter C. DeWeirdt is a scholar working on Molecular Biology, Hematology and Genetics, having authored 8 papers that have together received 586 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), RNA and protein synthesis mechanisms (4 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Aging (26 citations), Business and International Management (15 citations) and Molecular Biology (504 citations). Peter C. DeWeirdt has collaborated with scholars based in United States. Frequent co-authors include John G. Doench, Mudra Hegde, Annabel K. Sangree, Ruth E. Hanna, Kendall R Sanson, Audrey L Griffith, Marissa N. Feeley, Christine Strand, Luke W. Koblan and James T. Neal. Their work appears in journals such as Cell, Nature Communications and Nature 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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