Daniel J. Wright

3.0k total citations · 1 hit paper
16 papers, 993 citations indexed

About

Daniel J. Wright is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and General Health Professions. According to data from OpenAlex, Daniel J. Wright has authored 16 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in General Health Professions. Recurrent topics in Daniel J. Wright's work include Aging, Elder Care, and Social Issues (4 papers), Health, Medicine and Society (4 papers) and Hermeneutics and Narrative Identity (4 papers). Daniel J. Wright is often cited by papers focused on Aging, Elder Care, and Social Issues (4 papers), Health, Medicine and Society (4 papers) and Hermeneutics and Narrative Identity (4 papers). Daniel J. Wright collaborates with scholars based in United States, United Kingdom and Canada. Daniel J. Wright's co-authors include Carl Grafton, Martin D. Cassell, Brent M. Znosko, Gareth Peat, Jeremy Schwartzentruber, Jeffrey C. Barrett, Miguel Carmona, Maya Ghoussaini, Ellen M. Schmidt and Ian Dunham and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Daniel J. Wright

16 papers receiving 906 citations

Hit Papers

An open approach to systematically prioritize causal vari... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci
    2021 223 citations Edward Mountjoy, Ellen M. Schmidt et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Wright United States 14 372 193 181 177 144 16 993
Junko Katô Japan 19 243 0.7× 74 0.4× 326 1.8× 126 0.7× 164 1.1× 52 1.1k
Johanna Kallio Finland 19 133 0.4× 36 0.2× 117 0.6× 232 1.3× 66 0.5× 60 1.0k
Kathryn A. McDermott United States 12 110 0.3× 26 0.1× 78 0.4× 348 2.0× 52 0.4× 37 799
Jack Diamond Canada 27 636 1.7× 46 0.2× 175 1.0× 766 4.3× 64 0.4× 106 2.2k
Edward J. Bird United States 15 464 1.2× 55 0.3× 62 0.3× 590 3.3× 41 0.3× 32 1.2k
Jens Alber Germany 22 443 1.2× 47 0.2× 584 3.2× 213 1.2× 42 0.3× 49 2.4k
Gregory Grossman United States 17 308 0.8× 55 0.3× 134 0.7× 278 1.6× 198 1.4× 62 1.0k
James Connor Australia 25 344 0.9× 337 1.7× 21 0.1× 50 0.3× 69 0.5× 78 1.8k
J. J. Martin Belgium 21 384 1.0× 47 0.2× 71 0.4× 419 2.4× 36 0.3× 56 1.6k
Michael Parkinson United Kingdom 20 527 1.4× 52 0.3× 212 1.2× 549 3.1× 32 0.2× 56 2.0k

Countries citing papers authored by Daniel J. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Wright. 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 Daniel J. Wright. The network helps show where Daniel J. Wright may publish in the future.

Co-authorship network of co-authors of Daniel J. Wright

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

All Works

16 of 16 papers shown
1.
Mountjoy, Edward, Ellen M. Schmidt, Miguel Carmona, et al.. (2021). An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated loci. Nature Genetics. 53(11). 1527–1533. 223 indexed citations breakdown →
2.
3.
Renard, Justine, Hanna J. Szkudlarek, Laura G. Rosen, et al.. (2018). Adolescent Nicotine Exposure Induces Dysregulation of Mesocorticolimbic Activity States and Depressive and Anxiety-like Prefrontal Cortical Molecular Phenotypes Persisting into Adulthood. Cerebral Cortex. 29(7). 3140–3153. 46 indexed citations
4.
Wright, Daniel J., et al.. (2018). Stability of RNA duplexes containing inosine·cytosine pairs. Nucleic Acids Research. 46(22). 12099–12108. 27 indexed citations
5.
Wright, Daniel J., Felix R. Day, Nicola D. Kerrison, et al.. (2017). Genetic variants associated with mosaic Y chromosome loss highlight cell cycle genes and overlap with cancer susceptibility. Nature Genetics. 49(5). 674–679. 118 indexed citations
6.
Wright, Daniel J., Mark Corbett, Adam J. Bentley, et al.. (2008). TheSaccharomyces cerevisiaeActin Cytoskeletal Component Bsp1p Has an Auxiliary Role in Actomyosin Ring Function and in the Maintenance of Bud-Neck Structure. Genetics. 178(4). 1903–1914. 4 indexed citations
7.
Wright, Daniel J., et al.. (2007). Nearest Neighbor Parameters for Inosine·Uridine Pairs in RNA Duplexes. Biochemistry. 46(15). 4625–4634. 51 indexed citations
8.
9.
Wright, Daniel J., Susan A. Martinis, Martina Jahn, Dieter Söll, & Paul Schimmel. (1993). Acceptor stem and anticodon RNA hairpin helix interactions with glutamine tRNA synthetase. Biochimie. 75(12). 1041–1049. 15 indexed citations
10.
Ludmerer, Steven W., Daniel J. Wright, & Paul Schimmel. (1993). Purification of glutamine tRNA synthetase from Saccharomyces cerevisiae. A monomeric aminoacyl-tRNA synthetase with a large and dispensable NH2-terminal domain.. Journal of Biological Chemistry. 268(8). 5519–5523. 19 indexed citations
11.
Cassell, Martin D., et al.. (1989). Collateralization of the amygdaloid projections of the rat prelimbic and infralimbic cortices. The Journal of Comparative Neurology. 279(2). 235–248. 56 indexed citations
12.
Grafton, Carl & Daniel J. Wright. (1989). Understanding Intergovernmental Relations. CrossRef Listing of Deleted DOIs. 19(1). 196–196. 91 indexed citations
13.
Cassell, Martin D. & Daniel J. Wright. (1986). Topography of projections from the medial prefrontal cortex to the amygdala in the rat. Brain Research Bulletin. 17(3). 321–333. 120 indexed citations
14.
Grafton, Carl & Daniel J. Wright. (1983). Understanding Intergovernmental Relations. CrossRef Listing of Deleted DOIs. 13(3). 100–100. 84 indexed citations
15.
Wright, Daniel J., et al.. (1979). Understanding Intergovernmental Relations. CrossRef Listing of Deleted DOIs. 9(3). 140–140. 98 indexed citations
16.
Wright, Daniel J.. (1975). Intergovernmental Relations and Policy Choice. CrossRef Listing of Deleted DOIs. 5(4). 1–1. 2 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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