Benjamin W. Pruitt

3.2k citations
9 papers · 2.1k indexed · 2 hit papers · h-index 8

Benjamin W. Pruitt

9 papers receiving 2.1k citations

Hit Papers

Comparison of Cas9 activators in multiple species38120152026201820222505007501000

Peers

Benjamin W. Pruitt
Comparison fields: 5 of 80
  • Aging 179
  • Business and International Management 122
  • Molecular Biology 2.0k
  • Genetics 295
  • Virology 28
Replace Marcelle Tuttle with:
Marcelle Tuttle United States
D. Dewran Koçak United States
Suhani Vora United States
Yongsub Kim South Korea
Heon Seok Kim South Korea
Christopher D. Guzman United States
Michael C. Bassik United States
Siyuan Tan United States
Daniel J. Wiegand United States
Michael A. Collingwood United States
Benjamin W. Pruitt relative to Marcelle Tuttle United States Marcelle Tuttle's profile →
Citations per field
00.5×1.5×
Marcelle Tuttle · 1×
Citations per year

Countries citing papers authored by Benjamin W. Pruitt

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin W. Pruitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

9 of 9 papers shown
#Work
1 201826
2 201711
3
Comparison of Cas9 activators in multiple speciesbreakdown →
2016381
4 2016202
5
Cas9 gRNA engineering for genome editing, activation and repression
20151
6 2015249
7
Highly efficient Cas9-mediated transcriptional programmingbreakdown →
20151183
8 201312
9 201215

About Benjamin W. Pruitt

Benjamin W. Pruitt is a scholar working on Periodontics, Molecular Biology and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 2.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA Interference and Gene Delivery (3 papers), Pluripotent Stem Cells Research (2 papers), Oral microbiology and periodontitis research (2 papers), Streptococcal Infections and Treatments (2 papers), Microfluidic and Bio-sensing Technologies (1 paper) and Biosensors and Analytical Detection (1 paper). The work is most often cited by research in Aging (179 citations), Business and International Management (122 citations) and Molecular Biology (2.0k citations). Benjamin W. Pruitt has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include George M. Church, Alejandro Chavez, Marcelle Tuttle, James J. Collins, Dmitry Ter‐Ovanesyan, Benjamin E. Housden, Norbert Perrimon, Suhani Vora, Samira Kiani and Ron Weiss. Their work appears in journals such as Nature Methods, Lab on a Chip, Journal of Bacteriology, Proceedings of the National Academy of Sciences and mSystems.

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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