Grace A. Stafford

565 total citations
24 papers, 382 citations indexed

About

Grace A. Stafford is a scholar working on Molecular Biology, Cancer Research and Information Systems and Management. According to data from OpenAlex, Grace A. Stafford has authored 24 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Information Systems and Management. Recurrent topics in Grace A. Stafford's work include Genomics and Chromatin Dynamics (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Cancer Genomics and Diagnostics (3 papers). Grace A. Stafford is often cited by papers focused on Genomics and Chromatin Dynamics (6 papers), Biomedical Text Mining and Ontologies (5 papers) and Cancer Genomics and Diagnostics (3 papers). Grace A. Stafford collaborates with scholars based in United States, Germany and United Kingdom. Grace A. Stafford's co-authors include Randall H. Morse, Robert E. Oswald, Gregory A. Weiland, Michael P. Ryan, Dennis Thomas, M. J. Fritts, David S. Paik, Fred Klaessig, Stacey L. Harper and Sharon Gaheen and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and The Journal of Immunology.

In The Last Decade

Grace A. Stafford

23 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Grace A. Stafford United States 13 248 40 38 34 33 24 382
Olga Abramczyk United States 13 400 1.6× 54 1.4× 30 0.8× 51 1.5× 23 0.7× 14 536
Zhen Cao China 11 177 0.7× 43 1.1× 32 0.8× 36 1.1× 13 0.4× 28 374
Hanna Engqvist Sweden 8 158 0.6× 69 1.7× 12 0.3× 49 1.4× 24 0.7× 11 300
Jana Biermann Sweden 9 144 0.6× 66 1.6× 12 0.3× 45 1.3× 23 0.7× 14 296
Joshua Bliesath United States 8 251 1.0× 39 1.0× 14 0.4× 86 2.5× 17 0.5× 8 333
Eric Bender United States 9 148 0.6× 52 1.3× 13 0.3× 66 1.9× 24 0.7× 30 311
Nikhil Gadewal India 12 341 1.4× 87 2.2× 18 0.5× 34 1.0× 37 1.1× 42 492
Ramanathan Sowdhamini India 6 272 1.1× 27 0.7× 85 2.2× 17 0.5× 18 0.5× 9 367
Jianxin Yu China 12 181 0.7× 18 0.5× 14 0.4× 52 1.5× 35 1.1× 19 372
Huikun Zhang China 10 244 1.0× 62 1.6× 30 0.8× 44 1.3× 7 0.2× 22 323

Countries citing papers authored by Grace A. Stafford

Since Specialization
Citations

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

Fields of papers citing papers by Grace A. Stafford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Grace A. Stafford. 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 Grace A. Stafford. The network helps show where Grace A. Stafford may publish in the future.

Co-authorship network of co-authors of Grace A. Stafford

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

All Works

20 of 20 papers shown
1.
Kenney‐Jung, Daniel, Grace A. Stafford, Michael D. Malinzak, et al.. (2025). Infantile-onset Pompe disease entering adulthood: Insights from 2 decades of enzyme replacement therapy experience. Genetics in Medicine. 27(12). 101590–101590. 1 indexed citations
2.
Wilson, John J., Jian Wei, Grace A. Stafford, et al.. (2023). Glucose oxidation-dependent survival of activated B cells provides a putative novel therapeutic target for lupus treatment. iScience. 26(9). 107487–107487. 11 indexed citations
3.
4.
Hosur, Vishnu, Benjamin E. Low, Grace A. Stafford, et al.. (2020). Genes adapt to outsmart gene-targeting strategies in mutant mouse strains by skipping exons to reinitiate transcription and translation. Genome biology. 21(1). 168–168. 22 indexed citations
5.
Woo, Xing Yi, Anuj Srivastava, Joel H. Graber, et al.. (2019). Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines. BMC Medical Genomics. 12(1). 92–92. 21 indexed citations
6.
7.
Wilson, John J., Kin-Hoe Chow, Thomas J. Sproule, et al.. (2018). Enhancing the efficacy of glycolytic blockade in cancer cellsviaRAD51 inhibition. Cancer Biology & Therapy. 20(2). 169–182. 10 indexed citations
8.
Min, Hua, Stuart Turner, Sherri de Coronado, et al.. (2016). Towards a standard ontology metadata model. The Mouseion at the JAXlibrary (Jackson Laboratory). 1747. 1 indexed citations
9.
Ananda, Guruprasad, Susan M. Mockus, Talia Mitchell, et al.. (2015). Development and validation of the JAX Cancer Treatment Profile™ for detection of clinically actionable mutations in solid tumors. Experimental and Molecular Pathology. 98(1). 106–112. 25 indexed citations
10.
Thomas, Dennis, Sharon Gaheen, Stacey L. Harper, et al.. (2013). ISA-TAB-Nano: A Specification for Sharing Nanomaterial Research Data in Spreadsheet-based Format. BMC Biotechnology. 13(1). 2–2. 71 indexed citations
11.
Freimuth, Robert R., Mukesh Kumar Sharma, Grace A. Stafford, et al.. (2012). Life sciences domain analysis model. Journal of the American Medical Informatics Association. 19(6). 1095–1102. 7 indexed citations
12.
Hunicke‐Smith, Scott, et al.. (2011). The caBIG® Life Science Business Architecture Model. Bioinformatics. 27(10). 1429–1435. 13 indexed citations
13.
Cimino, James J., Terry F. Hayamizu, Olivier Bodenreider, et al.. (2008). The caBIG terminology review process. Journal of Biomedical Informatics. 42(3). 571–580. 16 indexed citations
14.
Stafford, Grace A. & Randall H. Morse. (2001). GCN5 Dependence of Chromatin Remodeling and Transcriptional Activation by the GAL4 and VP16 Activation Domains in Budding Yeast. Molecular and Cellular Biology. 21(14). 4568–4578. 14 indexed citations
15.
Ryan, Michael P., et al.. (1999). Assays for nucleosome positioning in yeast. Methods in enzymology on CD-ROM/Methods in enzymology. 304. 376–399. 19 indexed citations
16.
Stafford, Grace A., Robert E. Oswald, Antonio Figl, Bruce Cohen, & Gregory A. Weiland. (1998). Two Domains of the Beta Subunit of Neuronal Nicotinic Acetylcholine Receptors Contribute to the Affinity of Substance P. Journal of Pharmacology and Experimental Therapeutics. 286(2). 619–626. 13 indexed citations
17.
Stafford, Grace A. & Randall H. Morse. (1998). Mutations in the AF-2/Hormone-binding Domain of the Chimeric Activator GAL4·Estrogen Receptor·VP16 Inhibit Hormone-dependent Transcriptional Activation and Chromatin Remodeling in Yeast. Journal of Biological Chemistry. 273(51). 34240–34246. 11 indexed citations
18.
Stafford, Grace A. & Randall H. Morse. (1997). Chromatin Remodeling by Transcriptional Activation Domains in a Yeast Episome. Journal of Biological Chemistry. 272(17). 11526–11534. 31 indexed citations
19.
Hamby, Carl V., et al.. (1995). Differential Expression and Mutation of nme Genes in Autologous Cultured Human Melanoma Cells with Different Metastatic Potentials. Biochemical and Biophysical Research Communications. 211(2). 578–585. 21 indexed citations
20.
Stafford, Grace A., Robert E. Oswald, & Gregory A. Weiland. (1994). The beta subunit of neuronal nicotinic acetylcholine receptors is a determinant of the affinity for substance P inhibition.. Molecular Pharmacology. 45(4). 758–762. 27 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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