Daniel P. Dever

27 papers receiving 2.9k citations

Daniel P. Dever's Hit Papers

Identification of preexisting adaptive immunity to Cas9 proteins in humans 2019 · 689 citations
6890+3+6Years since publication200400600

Peers

Daniel P. Dever
Comparison fields: 5 of 91
  • Business and International Management 238
  • Aging 110
  • Molecular Biology 2.5k
  • Genetics 934
  • Genetics 308
Replace Angelo Lombardo with:
Angelo Lombardo Italy
Kendell Clement United States
Izuho Hatada Japan
Natalia Gomez‐Ospina United States
Xavier M. Anguela United States
Thorold W. Theunissen United States
Russell C. DeKelver United States
Anthony D’Ippolito United States
Henriette O’Geen United States
Takuro Horii Japan
Daniel P. Dever relative to Angelo Lombardo Italy Angelo Lombardo's profile →
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Citations per year

Countries citing papers authored by Daniel P. Dever

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Dever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Dever. 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 Daniel P. Dever. The network helps show where Daniel P. Dever may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of preexisting adaptive immunity to Cas9 proteins in humans
Hit paper breakdown →
2019689
2
CRISPR/Cas9 β-globin gene targeting in human haematopoietic stem cells
Hit paper breakdown →
2016651
3
A high-fidelity Cas9 mutant delivered as a ribonucleoprotein complex enables efficient gene editing in human hematopoietic stem and progenitor cells
Hit paper breakdown →
2018562
4 2018236
5 2019115
6 201789
7 201888
8 201879
9 202172
10 200867
11 201747
12 201544
13 201143
14 201237
15 201935
16 202122
17 202119
18 201716
19 202114
20 202411

About Daniel P. Dever

Daniel P. Dever is a scholar working on Molecular Biology, Genetics, Genetics, Health, Toxicology and Mutagenesis and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 3.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (19 papers), Hemoglobinopathies and Related Disorders (7 papers), Toxic Organic Pollutants Impact (5 papers), Mosquito-borne diseases and control (4 papers), Prenatal Screening and Diagnostics (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). The work is most often cited by research in Business and International Management (238 citations), Aging (110 citations), Molecular Biology (2.5k citations), Genetics (934 citations) and Genetics (308 citations). Daniel P. Dever has collaborated with scholars based in United States, India and Spain. Frequent co-authors include Matthew H. Porteus, Rasmus O. Bak, Joab Camarena, Mara Pavel-Dinu, Sruthi Mantri, Kenneth I. Weinberg, Natalia Gomez‐Ospina, Mark A. Behlke, Christopher A. Vakulskas and Michael A. Collingwood. Their work appears in journals such as Blood, Nature Communications, Nature Medicine, Toxicological Sciences and iScience.

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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