Rachel Vassar

36 total papers · 461 total citations
17 papers, 321 citations indexed

About

Rachel Vassar is a scholar working on Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rachel Vassar has authored 17 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pediatrics, Perinatology and Child Health, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rachel Vassar's work include Neonatal and fetal brain pathology (10 papers), Infant Development and Preterm Care (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Rachel Vassar is often cited by papers focused on Neonatal and fetal brain pathology (10 papers), Infant Development and Preterm Care (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Rachel Vassar collaborates with scholars based in United States, Chile and Canada. Rachel Vassar's co-authors include Jessica Rose, David K. Stevenson, Katelyn Cahill‐Rowley, Naama Barnea‐Goraly, Kristen W. Yeom, Susan R. Hintz, Mary E. Norton, Elizabeth George, Orit A. Glenn and Dawn Gano and has published in prestigious journals such as PLoS ONE, NeuroImage and Annals of Neurology.

In The Last Decade

Rachel Vassar

17 papers receiving 319 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rachel Vassar	239	106	77	43	29	17	321
Cristina Uria-Avellanal	230 1.0×	98 0.9×	88 1.1×	54 1.3×	17 0.6×	11	326
Francesca Serrao	210 0.9×	96 0.9×	117 1.5×	21 0.5×	55 1.9×	30	326
Julia M. Young	239 1.0×	94 0.9×	98 1.3×	36 0.8×	19 0.7×	22	330
David Q. Stoye	166 0.7×	73 0.7×	72 0.9×	19 0.4×	34 1.2×	21	315
G. Zoder	257 1.1×	37 0.3×	117 1.5×	13 0.3×	13 0.4×	10	302
Paul C. Marshall	118 0.5×	27 0.3×	23 0.3×	80 1.9×	45 1.6×	15	285
Ralica Dimitrova	157 0.7×	93 0.9×	34 0.4×	27 0.6×	44 1.5×	15	332
Ariadna Arbat‐Plana	167 0.7×	28 0.3×	38 0.5×	13 0.3×	7 0.2×	12	364
Kazuhiko Cho	127 0.5×	31 0.3×	19 0.2×	174 4.0×	50 1.7×	18	343
Richard Lee‐Kelland	216 0.9×	39 0.4×	110 1.4×	44 1.0×	16 0.6×	12	242

Countries citing papers authored by Rachel Vassar

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Vassar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Vassar

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

All Works

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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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