Samuel B. Hayward

1.5k total citations
9 papers, 947 citations indexed

About

Samuel B. Hayward is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Samuel B. Hayward has authored 9 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Samuel B. Hayward's work include CRISPR and Genetic Engineering (9 papers), Cytomegalovirus and herpesvirus research (3 papers) and DNA Repair Mechanisms (3 papers). Samuel B. Hayward is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), Cytomegalovirus and herpesvirus research (3 papers) and DNA Repair Mechanisms (3 papers). Samuel B. Hayward collaborates with scholars based in United States, Switzerland and Italy. Samuel B. Hayward's co-authors include Alberto Ciccia, Tarun S. Nambiar, Pierre Billon, Michael C. Holmes, Philip D. Gregory, Eric Edward Bryant, Rodney Rothstein, David A. Shivak, Jianbin Wang and Colin M. Exline and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Samuel B. Hayward

9 papers receiving 934 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Samuel B. Hayward United States	8	897	398	180	67	63	9	947
Andrew Kennedy United States	6	962 1.1×	238 0.6×	130 0.7×	74 1.1×	50 0.8×	8	1.0k
Jason M. Gehrke United States	6	973 1.1×	320 0.8×	99 0.6×	80 1.2×	96 1.5×	9	1.0k
Carmencita E. Nicolas United States	2	684 0.8×	314 0.8×	133 0.7×	82 1.2×	75 1.2×	2	776
Christine Kaeppel Germany	8	724 0.8×	483 1.2×	135 0.8×	59 0.9×	54 0.9×	8	863
Beeke Wienert Australia	14	1.0k 1.1×	250 0.6×	63 0.3×	89 1.3×	40 0.6×	16	1.2k
Giulia Schiroli United States	7	786 0.9×	501 1.3×	252 1.4×	46 0.7×	95 1.5×	14	955
Hiroko Koike-Yusa United Kingdom	5	929 1.0×	163 0.4×	86 0.5×	56 0.8×	33 0.5×	5	1000
Adi Barzel Israel	15	754 0.8×	423 1.1×	180 1.0×	27 0.4×	51 0.8×	18	919
Beruh Dejene United States	4	743 0.8×	317 0.8×	161 0.9×	79 1.2×	61 1.0×	7	813
Michael T. Certo United States	9	684 0.8×	200 0.5×	137 0.8×	49 0.7×	39 0.6×	10	754

Countries citing papers authored by Samuel B. Hayward

Since Specialization

Citations

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

Fields of papers citing papers by Samuel B. Hayward

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel B. Hayward. 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 Samuel B. Hayward. The network helps show where Samuel B. Hayward may publish in the future.

Co-authorship network of co-authors of Samuel B. Hayward

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

All Works

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9 of 9 papers shown

Cuella-Martin, Raquel, Samuel B. Hayward, Xiao Fan, et al.. (2021). Functional interrogation of DNA damage response variants with base editing screens. Cell. 184(4). 1081–1097.e19. 158 indexed citations

Hayward, Samuel B. & Alberto Ciccia. (2021). Towards a CRISPeR understanding of homologous recombination with high-throughput functional genomics. Current Opinion in Genetics & Development. 71. 171–181. 2 indexed citations

Huang, Jen‐Wei, Ananya Acharya, Angelo Taglialatela, et al.. (2020). MCM8IP activates the MCM8-9 helicase to promote DNA synthesis and homologous recombination upon DNA damage. Nature Communications. 11(1). 2948–2948. 33 indexed citations

Billon, Pierre, Tarun S. Nambiar, Samuel B. Hayward, et al.. (2020). Detection of Marker-Free Precision Genome Editing and Genetic Variation through the Capture of Genomic Signatures. Cell Reports. 30(10). 3280–3295.e6. 8 indexed citations

Nambiar, Tarun S., Pierre Billon, Samuel B. Hayward, et al.. (2019). Stimulation of CRISPR-mediated homology-directed repair by an engineered RAD18 variant. Nature Communications. 10(1). 87 indexed citations

Billon, Pierre, Eric Edward Bryant, Tarun S. Nambiar, et al.. (2017). CRISPR-Mediated Base Editing Enables Efficient Disruption of Eukaryotic Genes through Induction of STOP Codons. Molecular Cell. 67(6). 1068–1079.e4. 253 indexed citations

DiGiusto, David, Paula M. Cannon, Michael C. Holmes, et al.. (2016). Preclinical development and qualification of ZFN-mediated CCR5 disruption in human hematopoietic stem/progenitor cells. Molecular Therapy — Methods & Clinical Development. 3. 16067–16067. 85 indexed citations

Wang, Jianbin, Samuel B. Hayward, David A. Shivak, et al.. (2015). Highly efficient homology-driven genome editing in human T cells by combining zinc-finger nuclease mRNA and AAV6 donor delivery. Nucleic Acids Research. 44(3). e30–e30. 100 indexed citations

Wang, Jianbin, Colin M. Exline, George N. Llewellyn, et al.. (2015). Homology-driven genome editing in hematopoietic stem and progenitor cells using ZFN mRNA and AAV6 donors. Nature Biotechnology. 33(12). 1256–1263. 221 indexed citations

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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