Amy J. Swift

41.3k total citations
18 papers, 800 citations indexed

About

Amy J. Swift is a scholar working on Surgery, Molecular Biology and Genetics. According to data from OpenAlex, Amy J. Swift has authored 18 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Amy J. Swift's work include Pancreatic function and diabetes (6 papers), Genetic Associations and Epidemiology (2 papers) and Respiratory viral infections research (2 papers). Amy J. Swift is often cited by papers focused on Pancreatic function and diabetes (6 papers), Genetic Associations and Epidemiology (2 papers) and Respiratory viral infections research (2 papers). Amy J. Swift collaborates with scholars based in United States, United Kingdom and Finland. Amy J. Swift's co-authors include Janice King, Susan K. Hollingshead, Gary S. Nabors, Francis S. Collins, Lori L. Bonnycastle, David E. Briles, Moon H. Nahm, Patricia A. Braun, Narisu Narisu and Leslie G. Biesecker and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Amy J. Swift

16 papers receiving 790 citations

Peers

Amy J. Swift

EPIDE

GENET

MICRO

SURGE

Carlos Pipaón Spain

Junko Nishitani United States

N. I. Leaves United Kingdom

Alessandra Cervino United Kingdom

Jorge Alemany Spain

Lennard W. Duck United States

Basil Chiu Canada

Shabbir Hussain Pakistan

S. de Kimpe Netherlands

Rosalyn M. White Israel

Carlos Pipaón Spain

Amy J. Swift

102 ×0.3

EPIDE

484 ×1.7

262 ×1.3

GENET

40 ×0.2

MICRO

106 ×0.9

SURGE

Citations per year, relative to Amy J. Swift Amy J. Swift (= 1×) peers Carlos Pipaón

Countries citing papers authored by Amy J. Swift

Since Specialization

Citations

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

Fields of papers citing papers by Amy J. Swift

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy J. Swift

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Bonnycastle, Lori L., Amy J. Swift, Catherine C. Robertson, et al.. (2024). Generation of Human Isogenic Induced Pluripotent Stem Cell Lines with CRISPR Prime Editing. The CRISPR Journal. 7(1). 53–67. 5 indexed citations

Taylor, Henry J., Yu-Han Hung, Narisu Narisu, et al.. (2023). Human pancreatic islet microRNAs implicated in diabetes and related traits by large-scale genetic analysis. Proceedings of the National Academy of Sciences. 120(7). e2206797120–e2206797120. 21 indexed citations

Hudaiberdiev, Sanjarbek, D. Leland Taylor, Wei Song, et al.. (2023). Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits. Proceedings of the National Academy of Sciences. 120(35). e2206612120–e2206612120. 5 indexed citations

Nia, Anahita Bassir, Sharron Spriggs, Amy J. Swift, et al.. (2023). Cannabis use is associated with low plasma endocannabinoid Anandamide in individuals with psychosis. Journal of Psychopharmacology. 37(5). 484–489. 5 indexed citations

Lantz, Melinda, et al.. (2021). The Withdrawal After the Withdrawal: Managing Benzodiazepine Reduction and Post-Acute Withdrawal in Older Adults. American Journal of Geriatric Psychiatry. 29(4). S100–S101.

Sung, Calvin T., et al.. (2021). The Role of Race in Admission to a Dual Diagnosis Unit Versus General Inpatient Psychiatric Unit in those with Active Substance Use. SHILAP Revista de lepidopterología. 4(2). 1 indexed citations

Nia, Anahita Bassir, Sharron Spriggs, Amy J. Swift, et al.. (2020). Cannabinoid use in psychotic patients impacts inflammatory levels and their association with psychosis severity. Psychiatry Research. 293. 113380–113380. 15 indexed citations

Bonnycastle, Lori L., Derek Gildea, Narisu Narisu, et al.. (2019). Single-cell transcriptomics from human pancreatic islets: sample preparation matters. Biology Methods and Protocols. 4(1). bpz019–bpz019. 16 indexed citations

DuBose, Amanda J., Narisu Narisu, Lori L. Bonnycastle, et al.. (2013). Use of microarray hybrid capture and next-generation sequencing to identify the anatomy of a transgene. Nucleic Acids Research. 41(6). e70–e70. 35 indexed citations

10.

Bonnycastle, Lori L., Peter S. Chines, Takashi Hara, et al.. (2013). Autosomal Dominant Diabetes Arising From a Wolfram Syndrome 1 Mutation. Diabetes. 62(11). 3943–3950. 91 indexed citations

11.

Conneely, Karen N., Brian C. Capell, Michael R. Erdos, et al.. (2012). Human longevity and common variations in the LMNA gene: a meta‐analysis. Aging Cell. 11(3). 475–481. 30 indexed citations

12.

Rees, Matthew G., David Ng, Clesson Turner, et al.. (2011). Correlation of rare coding variants in the gene encoding human glucokinase regulatory protein with phenotypic, cellular, and kinetic outcomes. Journal of Clinical Investigation. 122(1). 205–217. 36 indexed citations

13.

Swift, Amy J.. (2011). Inherited Toxicity: An Expanded Concept of Sustainability for Preservation. SHILAP Revista de lepidopterología. 58–67. 1 indexed citations

14.

Teer, Jamie K., Lori L. Bonnycastle, Peter S. Chines, et al.. (2010). Systematic comparison of three genomic enrichment methods for massively parallel DNA sequencing. Genome Research. 20(10). 1420–1431. 155 indexed citations

15.

Li, Xia, Yu‐Hsiang Shu, Anny H. Xiang, et al.. (2009). Additive Effects of Genetic Variation in GCK and G6PC2 on Insulin Secretion and Fasting Glucose. Diabetes. 58(12). 2946–2953. 28 indexed citations

16.

Briles, David E., Susan K. Hollingshead, Janice King, et al.. (2000). Immunization of Humans with Recombinant Pneumococcal Surface Protein A (rPspA) Elicits Antibodies That Passively Protect Mice from Fatal Infection withStreptococcus pneumoniaeBearing Heterologous PspA. The Journal of Infectious Diseases. 182(6). 1694–1701. 214 indexed citations

17.

Briles, David E., Susan K. Hollingshead, Alexis Brooks-Walter, et al.. (2000). The potential to use PspA and other pneumococcal proteins to elicit protection against pneumococcal infection. Vaccine. 18(16). 1707–1711. 114 indexed citations

18.

Field, John K., et al.. (1996). Fractional allele loss data indicate distinct genetic populations in the development of non-small-cell lung cancer. British Journal of Cancer. 74(12). 1968–1974. 28 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.

Explore authors with similar magnitude of impact