John R. Lydeard

2.9k total citations
13 papers, 1.4k citations indexed

About

John R. Lydeard is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, John R. Lydeard has authored 13 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Genetics. Recurrent topics in John R. Lydeard's work include DNA Repair Mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers) and Ubiquitin and proteasome pathways (3 papers). John R. Lydeard is often cited by papers focused on DNA Repair Mechanisms (5 papers), CRISPR and Genetic Engineering (4 papers) and Ubiquitin and proteasome pathways (3 papers). John R. Lydeard collaborates with scholars based in United States and United Kingdom. John R. Lydeard's co-authors include James E. Haber, J. Wade Harper, Suvi Jain, Brenda A. Schulman, Miyuki Yamaguchi, Julie K. Monda, Daniel C. Scott, Bruce Stillman, Peter Burgers and Yi-Jun Sheu and has published in prestigious journals such as Nature, Cell and Genes & Development.

In The Last Decade

John R. Lydeard

12 papers receiving 1.4k citations

Peers

John R. Lydeard
Charly Chahwan United States
Rajula Elango United States
Lan N. Truong United States
Joost Schimmel Netherlands
Huzefa Dungrawala United States
Ayelet Arbel‐Eden United States
John R. Lydeard
Citations per year, relative to John R. Lydeard John R. Lydeard (= 1×) peers Stéphane Koundrioukoff

Countries citing papers authored by John R. Lydeard

Since Specialization
Citations

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

Fields of papers citing papers by John R. Lydeard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John R. Lydeard. 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 John R. Lydeard. The network helps show where John R. Lydeard may publish in the future.

Co-authorship network of co-authors of John R. Lydeard

This figure shows the co-authorship network connecting the top 25 collaborators of John R. Lydeard. A scholar is included among the top collaborators of John R. Lydeard 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 John R. Lydeard. John R. Lydeard 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.
Naulé, Lydie, Alessandra Mancini, Sidney Alcântara Pereira, et al.. (2023). MKRN3 inhibits puberty onset via interaction with IGF2BP1 and regulation of hypothalamic plasticity. JCI Insight. 8(8). 14 indexed citations
2.
Ung, Matthew, et al.. (2023). Multimodal Atlas of Paired Diagnosis and Relapse AML Samples Enables Novel Therapeutic Targeting of Surface Antigens. Blood. 142(Supplement 1). 164–164. 1 indexed citations
3.
Lydeard, John R., Michelle I. Lin, Shu Wang, et al.. (2023). Development of a gene edited next-generation hematopoietic cell transplant to enable acute myeloid leukemia treatment by solving off-tumor toxicity. Molecular Therapy — Methods & Clinical Development. 31. 101135–101135. 7 indexed citations
5.
Raman, Malavika, Mikhail Sergeev, Maija Garnaas, et al.. (2015). Systematic proteomics of the VCP–UBXD adaptor network identifies a role for UBXN10 in regulating ciliogenesis. Nature Cell Biology. 17(10). 1356–1369. 70 indexed citations
6.
Scott, Daniel C., Vladislav O. Sviderskiy, Julie K. Monda, et al.. (2014). Structure of a RING E3 Trapped in Action Reveals Ligation Mechanism for the Ubiquitin-like Protein NEDD8. Cell. 157(7). 1671–1684. 158 indexed citations
7.
Lydeard, John R., Brenda A. Schulman, & J. Wade Harper. (2013). Building and remodelling Cullin–RING E3 ubiquitin ligases. EMBO Reports. 14(12). 1050–1061. 255 indexed citations
8.
Monda, Julie K., Daniel C. Scott, Darcie J. Miller, et al.. (2012). Structural Conservation of Distinctive N-terminal Acetylation-Dependent Interactions across a Family of Mammalian NEDD8 Ligation Enzymes. Structure. 21(1). 42–53. 103 indexed citations
9.
O’Connell, Brenda, Britt Adamson, John R. Lydeard, et al.. (2010). A Genome-wide Camptothecin Sensitivity Screen Identifies a Mammalian MMS22L-NFKBIL2 Complex Required for Genomic Stability. Molecular Cell. 40(4). 645–657. 90 indexed citations
10.
Lydeard, John R., et al.. (2010). Sgs1 and Exo1 Redundantly Inhibit Break-Induced Replication and De Novo Telomere Addition at Broken Chromosome Ends. PLoS Genetics. 6(5). e1000973–e1000973. 74 indexed citations
11.
Lydeard, John R., et al.. (2010). Break-induced replication requires all essential DNA replication factors except those specific for pre-RC assembly. Genes & Development. 24(11). 1133–1144. 141 indexed citations
12.
Jain, Suvi, Neal Sugawara, John R. Lydeard, et al.. (2009). A recombination execution checkpoint regulates the choice of homologous recombination pathway during DNA double-strand break repair. Genes & Development. 23(3). 291–303. 113 indexed citations
13.
Lydeard, John R., Suvi Jain, Miyuki Yamaguchi, & James E. Haber. (2007). Break-induced replication and telomerase-independent telomere maintenance require Pol32. Nature. 448(7155). 820–823. 395 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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