Shannon Dyer

1.5k total citations · 1 hit paper
7 papers, 896 citations indexed

About

Shannon Dyer is a scholar working on Pediatrics, Perinatology and Child Health, Molecular Biology and General Health Professions. According to data from OpenAlex, Shannon Dyer has authored 7 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pediatrics, Perinatology and Child Health, 2 papers in Molecular Biology and 2 papers in General Health Professions. Recurrent topics in Shannon Dyer's work include Pregnancy and preeclampsia studies (2 papers), Birth, Development, and Health (2 papers) and Gestational Diabetes Research and Management (1 paper). Shannon Dyer is often cited by papers focused on Pregnancy and preeclampsia studies (2 papers), Birth, Development, and Health (2 papers) and Gestational Diabetes Research and Management (1 paper). Shannon Dyer collaborates with scholars based in United States, Switzerland and United Kingdom. Shannon Dyer's co-authors include Patricia Gideon, William O. Cooper, Sonia Hernández–Dı́az, Judith A. Dudley, Wayne A. Ray, Patrick G. Arbogast, Kathi Hall, Kathleen Hall, Cecilia P. Chung and Lisa A. Kaltenbach and has published in prestigious journals such as New England Journal of Medicine, Environmental Science & Technology and Geochimica et Cosmochimica Acta.

In The Last Decade

Shannon Dyer

7 papers receiving 839 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Major Congenital Malformations after First-Trimester Exposure to ACE Inhibitors

2006 682 citations William O. Cooper, Sonia Hernández–Dı́az et al. New England Journal of Medicine profile →

Peers

Shannon Dyer

OG

PPCH

PHEOH

CCM

SURGE

Karin Lust Australia

Irene Sandven Norway

Alessandro Bulfoni Italy

Chih‐Chia Liang Taiwan

Kara K. Hoppe United States

Serdar Yalvaç Türkiye

Oya Gökmen Türkiye

Christina Scifres United States

Shailendra Sharma United States

Vincent Wong Australia

Karin Lust Australia

Shannon Dyer

532 ×1.5

OG

467 ×1.5

PPCH

190 ×0.6

PHEOH

184 ×0.8

CCM

103 ×0.8

SURGE

Citations per year, relative to Shannon Dyer Shannon Dyer (= 1×) peers Karin Lust

Countries citing papers authored by Shannon Dyer

Since Specialization

Citations

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

Fields of papers citing papers by Shannon Dyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Dyer

This figure shows the co-authorship network connecting the top 25 collaborators of Shannon Dyer. A scholar is included among the top collaborators of Shannon Dyer 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 Shannon Dyer. Shannon Dyer 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:

7 of 7 papers shown

1.

Ladd, S. Nemiah, Daniel B. Nelson, Blake Matthews, et al.. (2024). Taxon-specific hydrogen isotope signals in cultures and mesocosms facilitate ecosystem and hydroclimate reconstruction. Geochimica et Cosmochimica Acta. 390. 199–210. 2 indexed citations

2.

Meibom, Karin Lederballe, David Conesa, Shannon Dyer, et al.. (2020). Variability in Arsenic Methylation Efficiency across Aerobic and Anaerobic Microorganisms. Environmental Science & Technology. 54(22). 14343–14351. 48 indexed citations

3.

Grijalva, Carlos G., Cecilia P. Chung, C. Michael Stein, et al.. (2008). Computerized definitions showed high positive predictive values for identifying hospitalizations for congestive heart failure and selected infections in Medicaid enrollees with rheumatoid arthritis. Pharmacoepidemiology and Drug Safety. 17(9). 890–895. 46 indexed citations

4.

Cooper, William O., Sonia Hernández–Dı́az, Patrick G. Arbogast, et al.. (2008). Antibiotics potentially used in response to bioterrorism and the risk of major congenital malformations. Paediatric and Perinatal Epidemiology. 23(1). 18–28. 65 indexed citations

5.

Cooper, William O., Sonia Hernández–Dı́az, Patricia Gideon, et al.. (2007). Positive predictive value of computerized records for major congenital malformations. Pharmacoepidemiology and Drug Safety. 17(5). 455–460. 52 indexed citations

6.

Cooper, William O., Sonia Hernández–Dı́az, Patrick G. Arbogast, et al.. (2006). Major Congenital Malformations after First-Trimester Exposure to ACE Inhibitors. New England Journal of Medicine. 354(23). 2443–2451. 682 indexed citations breakdown →

7.

Cooper, William O., Sonia Hernández–Dı́az, Patrick G. Arbogast, et al.. (2006). Major Congenital Malformations After First-Trimester Exposure to ACE Inhibitors. Obstetrical & Gynecological Survey. 61(10). 628–629. 1 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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