Sarah Williams

444 total citations
10 papers, 349 citations indexed

About

Sarah Williams is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Sarah Williams has authored 10 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cognitive Neuroscience. Recurrent topics in Sarah Williams's work include Hearing, Cochlea, Tinnitus, Genetics (2 papers), Hearing Loss and Rehabilitation (2 papers) and Bioinformatics and Genomic Networks (2 papers). Sarah Williams is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (2 papers), Hearing Loss and Rehabilitation (2 papers) and Bioinformatics and Genomic Networks (2 papers). Sarah Williams collaborates with scholars based in United States, United Kingdom and Australia. Sarah Williams's co-authors include Bruce J. Aronow, Shani Dettman, Richard C. Dowell, Anil G. Jegga, Trisha M. Wise‐Draper, Peter M. Howley, Susanne I. Wells, Sue Kong, Melissa C. Colbert and John J. Hutton and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and BMC Genomics.

In The Last Decade

Sarah Williams

10 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah Williams United States	8	159	84	64	64	51	10	349
Brian P. Perry United States	12	137 0.9×	79 0.9×	79 1.2×	233 3.6×	34 0.7×	27	509
Xiaomei Ouyang United States	14	259 1.6×	58 0.7×	190 3.0×	32 0.5×	131 2.6×	32	510
Vera Beyer Germany	9	181 1.1×	61 0.7×	36 0.6×	168 2.6×	11 0.2×	15	318
Fabian Kraus Germany	8	127 0.8×	19 0.2×	111 1.7×	60 0.9×	126 2.5×	28	365
Ah Reum Kim South Korea	13	153 1.0×	97 1.2×	249 3.9×	32 0.5×	8 0.2×	22	356
Imen Chakchouk United States	13	203 1.3×	28 0.3×	134 2.1×	84 1.3×	10 0.2×	20	354
Jiale Xiang China	9	172 1.1×	30 0.4×	85 1.3×	88 1.4×	26 0.5×	24	345
Allen F. Marshall United States	6	192 1.2×	84 1.0×	68 1.1×	21 0.3×	23 0.5×	7	321
Christy B. Erbe United States	11	126 0.8×	23 0.3×	108 1.7×	13 0.2×	18 0.4×	24	317
Nabil Driss Tunisia	8	123 0.8×	21 0.3×	142 2.2×	51 0.8×	18 0.4×	25	298

Countries citing papers authored by Sarah Williams

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Williams. A scholar is included among the top collaborators of Sarah Williams 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 Sarah Williams. Sarah Williams 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

Kennedy, Fiona, Susan Smith, Rebecca J. Beeken, et al.. (2024). An App-Based Intervention With Behavioral Support to Promote Brisk Walking in People Diagnosed With Breast, Prostate, or Colorectal Cancer (APPROACH): Process Evaluation Study. JMIR Cancer. 11. e64747–e64747. 2 indexed citations

Williams, Sarah, et al.. (2017). The ACE project: a collaboration to support pre-dialysis patients. 2(3). 176–177. 1 indexed citations

Rajan, Sudarsan, Sarah Williams, Ganapathy Jagatheesan, et al.. (2006). Microarray analysis of gene expression during early stages of mild and severe cardiac hypertrophy. Physiological Genomics. 27(3). 309–317. 35 indexed citations

Dettman, Shani, et al.. (2004). Speech perception results for children using cochlear implants who have additional special needs. The Volta Review. 104(4). 361–392. 22 indexed citations

Dettman, Shani, et al.. (2004). Cochlear Implants for Children With Significant Residual Hearing. Archives of Otolaryngology - Head and Neck Surgery. 130(5). 612–612. 68 indexed citations

Hutton, John J., Anil G. Jegga, Sue Kong, et al.. (2004). Microarray and comparative genomics-based identification of genes and gene regulatory regions of the mouse immune system. BMC Genomics. 5(1). 82–82. 45 indexed citations

Zhang, Jianhua, Amy E. Moseley, Anil G. Jegga, et al.. (2004). Neural system-enriched gene expression: relationship to biological pathways and neurological diseases. Physiological Genomics. 18(2). 167–183. 11 indexed citations

Williams, Sarah, et al.. (2004). Large-scale reprogramming of cranial neural crest gene expression by retinoic acid exposure. Physiological Genomics. 19(2). 184–197. 33 indexed citations

Wells, Susanne I., et al.. (2003). Transcriptome signature of irreversible senescence in human papillomavirus-positive cervical cancer cells. Proceedings of the National Academy of Sciences. 100(12). 7093–7098. 63 indexed citations

10.

Bates, Michael D., Christopher R. Erwin, Lynn Sanford, et al.. (2002). Novel genes and functional relationships in the adult mouse gastrointestinal tract identified by microarray analysis. Gastroenterology. 122(5). 1467–1482. 69 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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