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.
National population‐based estimates for major birth defects, 2016–2020
202442 citationsErin B. Stallings, Jennifer Isenburg et al.Birth Defects Researchprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Laura J. Pabst
Since
Specialization
Citations
This map shows the geographic impact of Laura J. Pabst'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 Laura J. Pabst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura J. Pabst more than expected).
This network shows the impact of papers produced by Laura J. Pabst. 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 Laura J. Pabst. The network helps show where Laura J. Pabst may publish in the future.
Co-authorship network of co-authors of Laura J. Pabst
This figure shows the co-authorship network connecting the top 25 collaborators of Laura J. Pabst.
A scholar is included among the top collaborators of Laura J. Pabst 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 Laura J. Pabst. Laura J. Pabst is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
19 of 19 papers shown
1.
Stallings, Erin B., Jennifer Isenburg, Rachel E. Rutkowski, et al.. (2024). National population‐based estimates for major birth defects, 2016–2020. Birth Defects Research. 116(1). e2301–e2301.42 indexed citations breakdown →
Lopez, Adriana, Cristina V. Cardemil, Laura J. Pabst, et al.. (2014). Two-dose varicella vaccination coverage among children aged 7 years--six sentinel sites, United States, 2006-2012.. PubMed. 63(8). 174–7.28 indexed citations
13.
Cardemil, Cristina V., Terence Ng, & Laura J. Pabst. (2013). Progress in Immunization Information Systems — United States, 2011. MMWR Morbidity and Mortality Weekly Report. 62(3). 48–51.60 indexed citations
Lu, Peng-Jun, Tammy A. Santibanez, Walter W. Williams, et al.. (2013). Surveillance of influenza vaccination coverage--United States, 2007-08 through 2011-12 influenza seasons.. PubMed. 62(4). 1–28.144 indexed citations
Pabst, Laura J., Cindy M. Weinbaum, & Sandra S. Chaves. (2010). Seasonal influenza vaccination coverage among children aged 6 months-18 years - eight immunization information system sentinel sites, United States, 2009-10 influenza season.. MMWR Morbidity and Mortality Weekly Report. 59(39). 1266–1269.28 indexed citations
Potter, Rachel, Laura J. Pabst, & Anthony E. Fiore. (2009). Influenza vaccination coverage among children aged 6 months-18 years - eight immunization information system sentinel sites, United States, 2008-09 influenza season.. MMWR Morbidity and Mortality Weekly Report. 58(38). 1059–1062.30 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.