William W. Greenwald

1.4k total citations
12 papers, 401 citations indexed

About

William W. Greenwald is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, William W. Greenwald has authored 12 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in William W. Greenwald's work include Genetic Associations and Epidemiology (3 papers), Genomics and Phylogenetic Studies (3 papers) and Genomics and Rare Diseases (2 papers). William W. Greenwald is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Genomics and Phylogenetic Studies (3 papers) and Genomics and Rare Diseases (2 papers). William W. Greenwald collaborates with scholars based in United States, United Kingdom and Australia. William W. Greenwald's co-authors include Kelly A. Frazer, Erin N. Smith, Hiroko Matsui, Agnieszka D’Antonio‐Chronowska, Matteo D’Antonio, Paola Benaglio, David Jakubosky, Margaret K. R. Donovan, Siddarth Selvaraj and He Li and has published in prestigious journals such as Nature Communications, Nature Genetics and Genetics.

In The Last Decade

William W. Greenwald

12 papers receiving 398 citations

Peers

William W. Greenwald

GENET

CMN

Yayoi Kunihiro Japan

W. Clark Bacon United States

Ricardo Dolmetsch Switzerland

Dhruva Katrekar United States

Valérie Risson France

Adalberto Costessi Netherlands

Laura A. Crinnion United Kingdom

Calley Hirsch Canada

Fatimah Rahman United Kingdom

Tetsuji Moriyama Japan

Yayoi Kunihiro Japan

William W. Greenwald

541 ×1.7

225 ×1.8

GENET

50 ×1.4

16 ×0.6

16 ×0.7

CMN

Citations per year, relative to William W. Greenwald William W. Greenwald (= 1×) peers Yayoi Kunihiro

Countries citing papers authored by William W. Greenwald

Since Specialization

Citations

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

Fields of papers citing papers by William W. Greenwald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William W. Greenwald. 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 William W. Greenwald. The network helps show where William W. Greenwald may publish in the future.

Co-authorship network of co-authors of William W. Greenwald

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

All Works

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12 of 12 papers shown

Jakubosky, David, Matteo D’Antonio, Marc Jan Bonder, et al.. (2020). Properties of structural variants and short tandem repeats associated with gene expression and complex traits. Nature Communications. 11(1). 2927–2927. 57 indexed citations

Jakubosky, David, Erin N. Smith, Matteo D’Antonio, et al.. (2020). Discovery and quality analysis of a comprehensive set of structural variants and short tandem repeats. Nature Communications. 11(1). 2928–2928. 18 indexed citations

Benaglio, Paola, Agnieszka D’Antonio‐Chronowska, Wubin Ma, et al.. (2019). Allele-specific NKX2-5 binding underlies multiple genetic associations with human electrocardiographic traits. Nature Genetics. 51(10). 1506–1517. 30 indexed citations

Greenwald, William W., He Li, Paola Benaglio, et al.. (2019). Subtle changes in chromatin loop contact propensity are associated with differential gene regulation and expression. Nature Communications. 10(1). 1054–1054. 77 indexed citations

D’Antonio‐Chronowska, Agnieszka, Margaret K. R. Donovan, William W. Greenwald, et al.. (2019). Association of Human iPSC Gene Signatures and X Chromosome Dosage with Two Distinct Cardiac Differentiation Trajectories. Stem Cell Reports. 13(5). 924–938. 30 indexed citations

Smith, Erin N., Agnieszka D’Antonio‐Chronowska, William W. Greenwald, et al.. (2019). Human iPSC-Derived Retinal Pigment Epithelium: A Model System for Prioritizing and Functionally Characterizing Causal Variants at AMD Risk Loci. Stem Cell Reports. 12(6). 1342–1353. 28 indexed citations

Kavvas, Erol, Yara Seif, James T. Yurkovich, et al.. (2018). Updated and standardized genome-scale reconstruction of Mycobacterium tuberculosis H37Rv, iEK1011, simulates flux states indicative of physiological conditions. BMC Systems Biology. 12(1). 25–25. 45 indexed citations

D’Antonio, Matteo, Paola Benaglio, David Jakubosky, et al.. (2018). Insights into the Mutational Burden of Human Induced Pluripotent Stem Cells from an Integrative Multi-Omics Approach. Cell Reports. 24(4). 883–894. 54 indexed citations

Lapek, John D., William W. Greenwald, Kristian Hindberg, et al.. (2018). Identification of Common and Rare Genetic Variation Associated With Plasma Protein Levels Using Whole-Exome Sequencing and Mass Spectrometry. Circulation Genomic and Precision Medicine. 11(12). e002170–e002170. 13 indexed citations

10.

Greenwald, William W., et al.. (2017). Pgltools: a genomic arithmetic tool suite for manipulation of Hi-C peak and other chromatin interaction data. BMC Bioinformatics. 18(1). 207–207. 23 indexed citations

11.

Greenwald, William W., Niels Klitgord, Victor Seguritan, et al.. (2017). Utilization of defined microbial communities enables effective evaluation of meta-genomic assemblies. BMC Genomics. 18(1). 296–296. 19 indexed citations

12.

Nariai, Naoki, William W. Greenwald, Christopher DeBoever, Li He, & Kelly A. Frazer. (2017). Efficient Prioritization of Multiple Causal eQTL Variants via Sparse Polygenic Modeling. Genetics. 207(4). 1301–1312. 7 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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