Amy K. Sullivan

1.3k total citations
8 papers, 894 citations indexed

About

Amy K. Sullivan is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Amy K. Sullivan has authored 8 papers receiving a total of 894 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Amy K. Sullivan's work include Genetics and Neurodevelopmental Disorders (4 papers), Autism Spectrum Disorder Research (4 papers) and Epigenetics and DNA Methylation (2 papers). Amy K. Sullivan is often cited by papers focused on Genetics and Neurodevelopmental Disorders (4 papers), Autism Spectrum Disorder Research (4 papers) and Epigenetics and DNA Methylation (2 papers). Amy K. Sullivan collaborates with scholars based in United States, Belgium and Denmark. Amy K. Sullivan's co-authors include Stephanie L. Sherman, Michele Marcus, Emily G. Allen, Michael P. Epstein, Aimee Anido, Jasmine Paquin, Chanley M. Small, Weiya He, Kira C. Taylor and Krista Charen and has published in prestigious journals such as The American Journal of Human Genetics, Human Reproduction and Journal of Applied Social Psychology.

In The Last Decade

Amy K. Sullivan

8 papers receiving 870 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amy K. Sullivan United States	7	756	463	352	90	77	8	894
Michael D. Wittenberger United States	7	537 0.7×	368 0.8×	254 0.7×	103 1.1×	79 1.0×	8	696
Anne Maddalena United States	17	736 1.0×	375 0.8×	411 1.2×	40 0.4×	65 0.8×	27	1.1k
Aimee Anido United States	7	397 0.5×	250 0.5×	271 0.8×	48 0.5×	65 0.8×	8	566
James Macpherson United Kingdom	11	570 0.8×	328 0.7×	303 0.9×	36 0.4×	32 0.4×	17	677
Amy Cronister United States	16	1.3k 1.7×	802 1.7×	580 1.6×	47 0.5×	269 3.5×	21	1.5k
Krista Charen United States	11	501 0.7×	357 0.8×	175 0.5×	63 0.7×	56 0.7×	19	588
Weiya He United States	8	418 0.6×	258 0.6×	193 0.5×	56 0.6×	53 0.7×	14	506
Anne Glicksman United States	14	1.0k 1.3×	693 1.5×	519 1.5×	17 0.2×	55 0.7×	18	1.1k
Sheila Youings United Kingdom	15	831 1.1×	221 0.5×	428 1.2×	49 0.5×	166 2.2×	18	978
Sarah L. Nolin United States	21	1.4k 1.9×	927 2.0×	833 2.4×	25 0.3×	83 1.1×	44	1.6k

Countries citing papers authored by Amy K. Sullivan

Since Specialization

Citations

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

Fields of papers citing papers by Amy K. Sullivan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy K. Sullivan

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

All Works

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8 of 8 papers shown

Sullivan, Amy K., Elizabeth J. Atkinson, & F. Michael Cutrer. (2013). Hormonally modulated migraine is associated with single-nucleotide polymorphisms within genes involved in dopamine metabolism. 3(2). 38–45. 9 indexed citations

Allen, Emily G., Amy K. Sullivan, Michele Marcus, et al.. (2007). Examination of reproductive aging milestones among women who carry the FMR1premutation. Human Reproduction. 22(8). 2142–2152. 170 indexed citations

Small, Chanley M., Michele Marcus, Stephanie L. Sherman, et al.. (2005). CYP17 genotype predicts serum hormone levels among pre-menopausal women. Human Reproduction. 20(8). 2162–2167. 23 indexed citations

Sullivan, Amy K., Michele Marcus, Michael P. Epstein, et al.. (2004). Association of FMR1 repeat size with ovarian dysfunction. Human Reproduction. 20(2). 402–412. 345 indexed citations

Nolin, Sarah L., W. Ted Brown, Anne Glicksman, et al.. (2003). Expansion of the Fragile X CGG Repeat in Females with Premutation or Intermediate Alleles. The American Journal of Human Genetics. 72(2). 454–464. 276 indexed citations

Sullivan, Amy K., Dana C. Crawford, Elizabeth Scott, Mary Leslie, & Stephanie L. Sherman. (2002). Paternally Transmitted FMR1 Alleles Are Less Stable than Maternally Transmitted Alleles in the Common and Intermediate Size Range. The American Journal of Human Genetics. 70(6). 1532–1544. 53 indexed citations

Nikol, Sigrid, Lawrence Weir, Amy K. Sullivan, et al.. (1994). Persistently increased expression of the transforming growth factor-β1 gene in human vascular restenosis: Analysis of 62 patients with one or more episode of restenosis. Cardiovascular Pathology. 3(1). 57–64. 13 indexed citations

Comer, James M., Frank R. Kardes, & Amy K. Sullivan. (1992). Multiple Deescalating Requests, Statistical Information, and Compliance: A Field Experiment¹. Journal of Applied Social Psychology. 22(15). 1199–1207. 5 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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