William Hulme

1.4k total citations
14 papers, 927 citations indexed

About

William Hulme is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, William Hulme has authored 14 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Neurology. Recurrent topics in William Hulme's work include Genetics and Neurodevelopmental Disorders (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Neurological diseases and metabolism (2 papers). William Hulme is often cited by papers focused on Genetics and Neurodevelopmental Disorders (3 papers), Tuberculosis Research and Epidemiology (2 papers) and Neurological diseases and metabolism (2 papers). William Hulme collaborates with scholars based in United States, Argentina and Guinea-Bissau. William Hulme's co-authors include John R. Gilbert, Ioanna Konidari, Eden R. Martin, Stephan Züchner, Derek Van Booven, Dale J. Hedges, Jonathan L. Haines, Nicole Dueker, Susan H. Slifer and Patrice L. Whitehead and has published in prestigious journals such as PLoS ONE, Annals of Neurology and Journal of Virology.

In The Last Decade

William Hulme

13 papers receiving 910 citations

Peers

William Hulme
Megan Allen United States
William Hulme
Citations per year, relative to William Hulme William Hulme (= 1×) peers Megan Allen

Countries citing papers authored by William Hulme

Since Specialization
Citations

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

Fields of papers citing papers by William Hulme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Hulme

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

All Works

14 of 14 papers shown
2.
Yan, Yan, et al.. (2023). Single-cell profiling of glial cells from the mouse amygdala under opioid dependent and withdrawal states. iScience. 26(11). 108166–108166. 5 indexed citations
3.
Griswold, Anthony J., Nicole Dueker, Derek Van Booven, et al.. (2015). Targeted massively parallel sequencing of autism spectrum disorder-associated genes in a case control cohort reveals rare loss-of-function risk variants. Molecular Autism. 6(1). 43–43. 46 indexed citations
4.
Cukier, Holly N., Nicole Dueker, Susan H. Slifer, et al.. (2014). Exome sequencing of extended families with autism reveals genes shared across neurodevelopmental and neuropsychiatric disorders. Molecular Autism. 5(1). 1–1. 252 indexed citations
5.
Gonzalez, Michael, Sheela Nampoothiri, Cornelia Kornblum, et al.. (2013). Mutations in phospholipase DDHD2 cause autosomal recessive hereditary spastic paraplegia (SPG54). European Journal of Human Genetics. 21(11). 1214–1218. 56 indexed citations
6.
Velinov, Milen, Natalia Dolzhanskaya, Michael Gonzalez, et al.. (2012). Correction: Mutations in the Gene DNAJC5 Cause Autosomal Dominant Kufs Disease in a Proportion of Cases: Study of the Parry Family and 8 Other Families. PLoS ONE. 7(9). 7 indexed citations
7.
Velinov, Milen, Natalia Dolzhanskaya, Michael Gonzalez, et al.. (2012). Mutations in the Gene DNAJC5 Cause Autosomal Dominant Kufs Disease in a Proportion of Cases: Study of the Parry Family and 8 Other Families. PLoS ONE. 7(1). e29729–e29729. 64 indexed citations
8.
Lin, Zhen, Xia Wang, Michael J. Strong, et al.. (2012). Whole-Genome Sequencing of the Akata and Mutu Epstein-Barr Virus Strains. Journal of Virology. 87(2). 1172–1182. 93 indexed citations
9.
Gonzalez, Michael, Derek Van Booven, William Hulme, et al.. (2012). Whole Genome Sequencing and a New Bioinformatics Platform Allow for Rapid Gene Identification in D. melanogaster EMS Screens. Biology. 1(3). 766–777. 9 indexed citations
10.
Powell, Eric, Jiaqiang Huang, Fiorella Speziani, et al.. (2011). Exome sequencing allows for rapid gene identification in a Charcot‐Marie‐Tooth family. Annals of Neurology. 69(3). 464–470. 83 indexed citations
11.
Hedges, Dale J., Toumy Guettouche, Shan Yang, et al.. (2011). Comparison of Three Targeted Enrichment Strategies on the SOLiD Sequencing Platform. PLoS ONE. 6(4). e18595–e18595. 60 indexed citations
12.
Concha, Monica, Xia Wang, Subing Cao, et al.. (2011). Identification of New Viral Genes and Transcript Isoforms during Epstein-Barr Virus Reactivation using RNA-Seq. Journal of Virology. 86(3). 1458–1467. 52 indexed citations
13.
Velez, Digna R., Christian Wejse, Martín E. Stryjewski, et al.. (2009). Variants in toll-like receptors 2 and 9 influence susceptibility to pulmonary tuberculosis in Caucasians, African-Americans, and West Africans. Human Genetics. 127(1). 65–73. 134 indexed citations
14.
Velez, Digna R., William Hulme, Jamie L. Myers, et al.. (2009). NOS2A, TLR4, and IFNGR1 interactions influence pulmonary tuberculosis susceptibility in African-Americans. Human Genetics. 126(5). 643–653. 66 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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