Chelsey M. Smith

14 total papers · 671 total citations
14 papers, 548 citations indexed

About

Chelsey M. Smith is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Chelsey M. Smith has authored 14 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Chelsey M. Smith's work include Neuroscience and Neuropharmacology Research (5 papers), Neonatal and fetal brain pathology (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Chelsey M. Smith is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Neonatal and fetal brain pathology (3 papers) and Advanced Neuroimaging Techniques and Applications (3 papers). Chelsey M. Smith collaborates with scholars based in United States, Israel and United Kingdom. Chelsey M. Smith's co-authors include Ian D. Duncan, Robert Dantzer, Teresa A. Victor, Wayne C. Drevets, Jerzy Bodurka, Brent E. Wurfel, Patrick S.F. Bellgowan, Jonathan Savitz, T. Kent Teague and Iain T. Shepherd and has published in prestigious journals such as Journal of Neuroscience, Neuroscience and Developmental Biology.

In The Last Decade

Chelsey M. Smith

14 papers receiving 544 citations

Author Peers

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

Author						Papers	Cites
Chelsey M. Smith	181	161	139	131	107	14	548
Matthew Williams	206 1.1×	232 1.4×	98 0.7×	40 0.3×	140 1.3×	14	607
Sarah Nicolas	126 0.7×	201 1.2×	73 0.5×	62 0.5×	98 0.9×	18	567
Zhewu Wang	95 0.5×	122 0.8×	148 1.1×	53 0.4×	73 0.7×	26	475
Monica Sathyanesan	139 0.8×	103 0.6×	101 0.7×	57 0.4×	111 1.0×	22	531
Ammar Kutiyanawalla	67 0.4×	220 1.4×	75 0.5×	83 0.6×	165 1.5×	13	565
Hai T. Nguyen	83 0.5×	173 1.1×	64 0.5×	83 0.6×	208 1.9×	14	566
Chun‐Sheng Ruan	78 0.4×	121 0.8×	96 0.7×	90 0.7×	173 1.6×	13	477
Kaori Sudo	163 0.9×	233 1.4×	112 0.8×	19 0.1×	104 1.0×	15	587
Csilla Szabó	204 1.1×	103 0.6×	200 1.4×	47 0.4×	79 0.7×	19	561
Katarína Ondičová	73 0.4×	178 1.1×	112 0.8×	32 0.2×	70 0.7×	22	600

Countries citing papers authored by Chelsey M. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Chelsey M. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chelsey M. Smith. 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 Chelsey M. Smith. The network helps show where Chelsey M. Smith may publish in the future.

Co-authorship network of co-authors of Chelsey M. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Chelsey M. Smith. A scholar is included among the top collaborators of Chelsey M. Smith 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 Chelsey M. Smith. Chelsey M. Smith 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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