Benjamin E. Housden

5.5k citations
43 papers · 3.3k · 1 hit paper · h-index 22

Impact in

Papers in

    • CRISPR and Genetic Engineering 17
    • Developmental Biology and Gene Regulation 13
    • RNA Interference and Gene Delivery 5
    • Genomics and Chromatin Dynamics 5

Benjamin E. Housden

43 papers receiving 3.3k citations

Benjamin E. Housden's Hit Papers

Highly efficient Cas9-mediated transcriptional programming 2015 · 1.2k citations
1.2k0+3+7Years since publication4008001.2k

Peers

Benjamin E. Housden
Comparison fields: 5 of 104
  • Aging 352
  • Business and International Management 127
  • Molecular Biology 2.8k
  • Insect Science 248
  • Cellular and Molecular Neuroscience 328
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Citations per year

Countries citing papers authored by Benjamin E. Housden

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin E. Housden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Highly efficient Cas9-mediated transcriptional programming
Hit paper breakdown →
20151245
2 2016397
3 2013299
4 2016141
5 2009138
6 2017113
7 2015104
8 201597
9 201668
10 201458
11 201058
12 201958
13 201455
14 201254
15 201350
16 201939
17 201637
18 201734
19 201434
20 201424

About Benjamin E. Housden

Benjamin E. Housden is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Cell Biology and Immunology, having authored 43 papers that have together received 3.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (17 papers), Developmental Biology and Gene Regulation (13 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Neurobiology and Insect Physiology Research (6 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), RNA Interference and Gene Delivery (5 papers), Invertebrate Immune Response Mechanisms (5 papers) and Genomics and Chromatin Dynamics (5 papers). The work is most often cited by research in Aging (352 citations), Business and International Management (127 citations), Molecular Biology (2.8k citations), Insect Science (248 citations) and Cellular and Molecular Neuroscience (328 citations). Benjamin E. Housden has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Norbert Perrimon, Alejandro Chavez, George M. Church, James J. Collins, Dmitry Ter‐Ovanesyan, Benjamin W. Pruitt, Marcelle Tuttle, Sarah J. Bray, Yanhui Hu and Samira Kiani. Their work appears in journals such as Cold Spring Harbor Protocols, Proceedings of the National Academy of Sciences, Development, Science Signaling and Nature Methods.

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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