Daniel J. Weiner

1.4k total citations
10 papers, 310 citations indexed

About

Daniel J. Weiner is a scholar working on Genetics, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Daniel J. Weiner has authored 10 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Clinical Psychology. Recurrent topics in Daniel J. Weiner's work include Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (2 papers) and Cognitive Abilities and Testing (2 papers). Daniel J. Weiner is often cited by papers focused on Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (2 papers) and Cognitive Abilities and Testing (2 papers). Daniel J. Weiner collaborates with scholars based in United States, Denmark and Australia. Daniel J. Weiner's co-authors include Elise Robinson, Luke J. O’Connor, Kushal K. Dey, Karthik A. Jagadeesh, Ajay Nadig, Konrad J. Karczewski, Benjamin M. Neale, Omer Weissbrod, Steven Gazal and Huwenbo Shi and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Daniel J. Weiner

10 papers receiving 307 citations

Peers

Daniel J. Weiner

GENET

MB

PMH

CN

PPCH

Ulf Hannelius Sweden

Bradford B. Worrall United States

Josefin Werme Netherlands

Sven Oskarsson Netherlands

Aaron D. Besterman United States

Teresa Escámez Spain

Robert F. Ernst Netherlands

Violeta Popendikytė Canada

Hiroyo Mabe Japan

Ulf Hannelius Sweden

Daniel J. Weiner

143 ×0.8

GENET

52 ×0.5

MB

38 ×0.8

PMH

42 ×1.1

CN

18 ×0.5

PPCH

Citations per year, relative to Daniel J. Weiner Daniel J. Weiner (= 1×) peers Ulf Hannelius

Countries citing papers authored by Daniel J. Weiner

Since Specialization

Citations

This map shows the geographic impact of Daniel J. Weiner'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. Weiner 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. Weiner more than expected).

Fields of papers citing papers by Daniel J. Weiner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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10 of 10 papers shown

1.

Weiner, Daniel J., Ajay Nadig, Karthik A. Jagadeesh, et al.. (2023). Polygenic architecture of rare coding variation across 394,783 exomes. Nature. 614(7948). 492–499. 68 indexed citations

2.

Gazal, Steven, Omer Weissbrod, Farhad Hormozdiari, et al.. (2022). Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity. Nature Genetics. 54(6). 827–836. 73 indexed citations

3.

Weiner, Daniel J., Steven Gazal, Elise Robinson, & Luke J. O’Connor. (2022). Partitioning gene-mediated disease heritability without eQTLs. The American Journal of Human Genetics. 109(3). 405–416. 7 indexed citations

4.

Weiner, Daniel J., Emi Ling, Serkan Erdin, et al.. (2022). STATISTICAL AND FUNCTIONAL CONVERGENCE OF COMMON AND RARE VARIANT RISK FOR AUTISM SPECTRUM DISORDERS AT CHROMOSOME 16P. European Neuropsychopharmacology. 63. e20–e20. 2 indexed citations

5.

Mollon, Josephine, Emma Knowles, Samuel R. Mathias, et al.. (2021). Genetic influences on externalizing psychopathology overlap with cognitive functioning and show developmental variation. European Psychiatry. 64(1). e29–e29. 4 indexed citations

6.

Wigdor, Emilie M., Daniel J. Weiner, Jakob Grove, et al.. (2021). THE FEMALE PROTECTIVE EFFECT AGAINST AUTISM SPECTRUM DISORDER. European Neuropsychopharmacology. 51. e13–e14. 2 indexed citations

7.

Taylor, Jacob, Jean-Christophe Debost, Sarah U. Morton, et al.. (2019). Paternal-age-related de novo mutations and risk for five disorders. Nature Communications. 10(1). 3043–3043. 61 indexed citations

8.

Mollon, Josephine, Emma Knowles, Samuel R. Mathias, et al.. (2018). Genetic influence on cognitive development between childhood and adulthood. Molecular Psychiatry. 26(2). 656–665. 38 indexed citations

9.

Shafee, Rebecca, Pranav Nanda, Jaya Padmanabhan, et al.. (2018). Polygenic risk for schizophrenia and measured domains of cognition in individuals with psychosis and controls. Translational Psychiatry. 8(1). 78–78. 44 indexed citations

10.

Peterson, Jordan B., Daniel J. Weiner, Robert O. Pihl, Peter R. Finn, & Mitch Earleywine. (1991). The tridimensional personality questionnaire and the inherited risk for alcoholism. Addictive Behaviors. 16(6). 549–554. 11 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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