Henry N. Ward

444 total citations
13 papers, 237 citations indexed

About

Henry N. Ward is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Henry N. Ward has authored 13 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Genetics. Recurrent topics in Henry N. Ward's work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (4 papers) and Fungal and yeast genetics research (3 papers). Henry N. Ward is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (4 papers) and Fungal and yeast genetics research (3 papers). Henry N. Ward collaborates with scholars based in United States, Canada and Germany. Henry N. Ward's co-authors include Chad L. Myers, Maximilian Billmann, Emmanuel Montassier, Dan Knights, Gabriel A. Al‐Ghalith, Jason Moffat, Michael Aregger, Kevin R. Brown, Thomas Gonatopoulos-Pournatzis and Benjamin J. Blencowe and has published in prestigious journals such as Nature Biotechnology, Scientific Reports and Nature Protocols.

In The Last Decade

Henry N. Ward

12 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henry N. Ward United States 7 191 28 24 21 19 13 237
Yiwei Sun United States 6 211 1.1× 20 0.7× 29 1.2× 22 1.0× 14 0.7× 11 287
Lucas Carter United States 7 129 0.7× 21 0.8× 37 1.5× 13 0.6× 6 0.3× 12 226
Zi-Ning Choo United States 4 160 0.8× 8 0.3× 40 1.7× 29 1.4× 15 0.8× 7 195
Martin Převorovský Czechia 10 213 1.1× 21 0.8× 19 0.8× 14 0.7× 32 1.7× 31 254
Karen Culotta France 7 137 0.7× 15 0.5× 38 1.6× 51 2.4× 11 0.6× 8 287
Shaun Aron South Africa 9 125 0.7× 22 0.8× 9 0.4× 10 0.5× 76 4.0× 14 239
Senlin Zhu China 9 149 0.8× 11 0.4× 10 0.4× 6 0.3× 40 2.1× 14 260
Bradley W. Wright Australia 6 185 1.0× 15 0.5× 39 1.6× 8 0.4× 37 1.9× 7 223
JaeJin Choi South Korea 8 126 0.7× 47 1.7× 29 1.2× 11 0.5× 9 0.5× 9 219
Bünyamin Akgül Türkiye 11 367 1.9× 31 1.1× 8 0.3× 6 0.3× 8 0.4× 36 436

Countries citing papers authored by Henry N. Ward

Since Specialization
Citations

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

Fields of papers citing papers by Henry N. Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henry N. Ward. 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 Henry N. Ward. The network helps show where Henry N. Ward may publish in the future.

Co-authorship network of co-authors of Henry N. Ward

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

All Works

13 of 13 papers shown
1.
Suresh, Harsha Garadi, Henry N. Ward, Ian Jones, et al.. (2024). The PRC2.1 subcomplex opposes G1 progression through regulation of CCND1 and CCND2. eLife. 13.
2.
Lin, Kevin, Maximilian Billmann, Henry N. Ward, et al.. (2024). A scalable platform for efficient CRISPR-Cas9 chemical-genetic screens of DNA damage-inducing compounds. Scientific Reports. 14(1). 2508–2508. 1 indexed citations
3.
Yan, Huijuan, Henry N. Ward, Zhen-Yuan Lin, et al.. (2024). Functional genomic analysis of genes important for Candida albicans fitness in diverse environmental conditions. Cell Reports. 43(8). 114601–114601. 6 indexed citations
4.
Ward, Henry N., et al.. (2023). Dimensionality reduction methods for extracting functional networks from large‐scale CRISPR screens. Molecular Systems Biology. 19(11). e11657–e11657. 3 indexed citations
5.
Lin, Kevin, Ryan M. Baxley, Liangjun Wang, et al.. (2023). RNF4 and USP7 cooperate in ubiquitin-regulated steps of DNA replication. Open Biology. 13(8). 230068–230068. 6 indexed citations
6.
Billmann, Maximilian, Henry N. Ward, Michael Aregger, et al.. (2023). Reproducibility metrics for context-specific CRISPR screens. Cell Systems. 14(5). 418–422.e2. 5 indexed citations
7.
Ward, Henry N., Michael Aregger, Thomas Gonatopoulos-Pournatzis, et al.. (2021). Analysis of combinatorial CRISPR screens with the Orthrus scoring pipeline. Nature Protocols. 16(10). 4766–4798. 11 indexed citations
8.
Rahman, Mahfuzur, Maximilian Billmann, Michael Costanzo, et al.. (2021). A method for benchmarking genetic screens reveals a predominant mitochondrial bias. Molecular Systems Biology. 17(5). e10013–e10013. 10 indexed citations
9.
Gonatopoulos-Pournatzis, Thomas, Michael Aregger, Kevin R. Brown, et al.. (2020). Genetic interaction mapping and exon-resolution functional genomics with a hybrid Cas9–Cas12a platform. Nature Biotechnology. 38(5). 638–648. 102 indexed citations
10.
Vinogradova, S.V., et al.. (2019). MaGIC: a machine learning tool set and web application for monoallelic gene inference from chromatin. BMC Bioinformatics. 20(1). 106–106. 3 indexed citations
11.
Simpkins, Scott W., Raamesh Deshpande, Justin Nelson, et al.. (2019). Using BEAN-counter to quantify genetic interactions from multiplexed barcode sequencing experiments. Nature Protocols. 14(2). 415–440. 15 indexed citations
12.
VanderSluis, Benjamin, Michael Costanzo, Maximilian Billmann, et al.. (2018). Integrating genetic and protein–protein interaction networks maps a functional wiring diagram of a cell. Current Opinion in Microbiology. 45. 170–179. 25 indexed citations
13.
Al‐Ghalith, Gabriel A., Emmanuel Montassier, Henry N. Ward, & Dan Knights. (2016). NINJA-OPS: Fast Accurate Marker Gene Alignment Using Concatenated Ribosomes. PLoS Computational Biology. 12(1). e1004658–e1004658. 50 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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