Suzanne L. Davis

74 total papers · 2.1k total citations
44 papers, 1.0k citations indexed

About

Suzanne L. Davis is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Clinical Psychology. According to data from OpenAlex, Suzanne L. Davis has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Pediatrics, Perinatology and Child Health, 8 papers in Pulmonary and Respiratory Medicine and 6 papers in Clinical Psychology. Recurrent topics in Suzanne L. Davis's work include Neonatal and fetal brain pathology (15 papers), Neonatal Respiratory Health Research (7 papers) and Epilepsy research and treatment (6 papers). Suzanne L. Davis is often cited by papers focused on Neonatal and fetal brain pathology (15 papers), Neonatal Respiratory Health Research (7 papers) and Epilepsy research and treatment (6 papers). Suzanne L. Davis collaborates with scholars based in United States, New Zealand and Italy. Suzanne L. Davis's co-authors include Bette L. Bottoms, Gail S. Goodman, Mitchell L. Eisen, Jianjian Qin, John W. Crayton, Christopher E. Williams, Peter D. Gluckman, Barbara M. Johnston, Jodi A. Quas and Carina Mallard and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Neurology.

In The Last Decade

Suzanne L. Davis

41 papers receiving 987 citations

Author Peers

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

Author Last Decade Papers Cites
Suzanne L. Davis 337 312 274 224 116 44 1.0k
Anne Passmore 296 0.9× 130 0.4× 191 0.7× 155 0.7× 38 0.3× 35 1.2k
Megan Scott 128 0.4× 185 0.6× 73 0.3× 181 0.8× 88 0.8× 47 861
Tricia S. Williams 209 0.6× 260 0.8× 92 0.3× 101 0.5× 48 0.4× 45 808
Amy Brown 663 2.0× 80 0.3× 81 0.3× 153 0.7× 74 0.6× 47 1.2k
Rachel Andrew 599 1.8× 87 0.3× 189 0.7× 183 0.8× 36 0.3× 25 1.2k
Felicia L. Wilczenski 418 1.2× 209 0.7× 102 0.4× 148 0.7× 31 0.3× 48 1.1k
Lucía Colodro‐Conde 345 1.0× 93 0.3× 85 0.3× 135 0.6× 29 0.3× 66 1.1k
Barry Hutchings 506 1.5× 106 0.3× 115 0.4× 124 0.6× 29 0.3× 17 1.2k
Marc A. Norman 181 0.5× 70 0.2× 239 0.9× 187 0.8× 16 0.1× 29 1.0k
Serpil Erermiş 353 1.0× 138 0.4× 160 0.6× 52 0.2× 21 0.2× 53 845

Countries citing papers authored by Suzanne L. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne L. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne L. Davis. 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 Suzanne L. Davis. The network helps show where Suzanne L. Davis may publish in the future.

Co-authorship network of co-authors of Suzanne L. Davis

This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne L. Davis. A scholar is included among the top collaborators of Suzanne L. Davis 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 Suzanne L. Davis. Suzanne L. Davis 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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