William C. Forrester

8.2k citations
33 papers · 5.2k indexed · 2 hit papers · h-index 26
Topics
Genomics and Chromatin Dynamics (10 papers)CRISPR and Genetic Engineering (8 papers)Animal Genetics and Reproduction (7 papers)

In The Last Decade

William C. Forrester

33 papers receiving 5.1k citations

Hit Papers

A DNA vector-based RNAi technology to suppress gene expre...200220262010201820022018250500750

Peers

William C. Forrester
Comparison fields: 5 of 126
  • Molecular Biology 4.5k
  • Genetics 1.4k
  • Oncology 705
  • Immunology 434
  • Genetics 391
Replace René Maehr with:
René Maehr United States
Angelo Lombardo Italy
Kosuke Yusa United Kingdom
Laurakay Bruhn United States
Eugenio Montini Italy
Luca Pinello United States
Rasmus O. Bak Denmark
Caleb A. Lareau United States
Nicola Crosetto Sweden
Roger R. Beerli Switzerland
William C. Forrester relative to René Maehr United States René Maehr's profile →
Citations per field
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René Maehr · 1×
Citations per year

Countries citing papers authored by William C. Forrester

Since Specialization
Citations

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

Fields of papers citing papers by William C. Forrester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William C. Forrester

This figure shows the co-authorship network connecting the top 25 collaborators of William C. Forrester. A scholar is included among the top collaborators of William C. Forrester 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 William C. Forrester. William C. Forrester is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 14
3 54
4 91
5
p53 inhibits CRISPR–Cas9 engineering in human pluripotent stem cellsbreakdown →
658
6 23
7 77
8 197
9
A DNA vector-based RNAi technology to suppress gene expression in mammalian cellsbreakdown →
955
10 69
11 303
12 70
13 12
14 207
15 87
16 9
17 110
18 393
19 393
20 83

About William C. Forrester

William C. Forrester is a scholar working on Molecular Biology, Oncology and Genetics, having authored 33 papers that have together received 5.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (10 papers), CRISPR and Genetic Engineering (8 papers) and Animal Genetics and Reproduction (7 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Genetics (1.4k citations) and Aging (75 citations). William C. Forrester has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Mark Groudine, Frédérique Gay, Thalia Papayannopoulou, Yujiang Geno Shi, Yang Shi, Guangchao Sui, El Bachir Affar, Rudolf Grosschedl, Elliot Epner and Thomas Jenuwein. Their work appears in journals such as Nature, Science and Cell.

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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