Caitlin J. Smith

823 total citations
15 papers, 596 citations indexed

About

Caitlin J. Smith is a scholar working on Pediatrics, Perinatology and Child Health, Obstetrics and Gynecology and Clinical Biochemistry. According to data from OpenAlex, Caitlin J. Smith has authored 15 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pediatrics, Perinatology and Child Health, 7 papers in Obstetrics and Gynecology and 4 papers in Clinical Biochemistry. Recurrent topics in Caitlin J. Smith's work include Gestational Diabetes Research and Management (7 papers), Pregnancy and preeclampsia studies (6 papers) and Birth, Development, and Health (6 papers). Caitlin J. Smith is often cited by papers focused on Gestational Diabetes Research and Management (7 papers), Pregnancy and preeclampsia studies (6 papers) and Birth, Development, and Health (6 papers). Caitlin J. Smith collaborates with scholars based in United States and Slovenia. Caitlin J. Smith's co-authors include Kelli K. Ryckman, Jennifer G. Robinson, Audrey F. Saftlas, Cassandra N. Spracklen, Mariana Castanheira, John M. Dagle, Rodrigo E. Mendes, Hélio S. Sader, Timothy B Doyle and Jennifer G. Robinson and has published in prestigious journals such as PLoS ONE, American Journal of Epidemiology and American Journal of Obstetrics and Gynecology.

In The Last Decade

Caitlin J. Smith

15 papers receiving 583 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Caitlin J. Smith United States	10	284	256	79	75	74	15	596
Peter Vervaart Australia	7	108 0.4×	132 0.5×	51 0.6×	71 0.9×	40 0.5×	9	451
Bruno Leroy United States	15	267 0.9×	190 0.7×	115 1.5×	377 5.0×	37 0.5×	27	791
L.A.A. Kollée Netherlands	14	248 0.9×	53 0.2×	49 0.6×	51 0.7×	22 0.3×	30	476
Wendy N. Phoswa South Africa	10	156 0.5×	269 1.1×	16 0.2×	29 0.4×	70 0.9×	39	438
Sascha Abbas Germany	12	35 0.1×	87 0.3×	40 0.5×	25 0.3×	89 1.2×	13	735
Peyman Nowrouzi‐Sohrabi Iran	10	30 0.1×	110 0.4×	65 0.8×	94 1.3×	60 0.8×	29	557
Madhuri S Balaji India	16	175 0.6×	796 3.1×	35 0.4×	41 0.5×	54 0.7×	33	952
Julie Aarestrup Denmark	14	147 0.5×	29 0.1×	56 0.7×	55 0.7×	174 2.4×	37	583
Zahra Vahedpoor Iran	10	22 0.1×	55 0.2×	70 0.9×	95 1.3×	55 0.7×	15	389

Countries citing papers authored by Caitlin J. Smith

Since Specialization

Citations

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

Fields of papers citing papers by Caitlin J. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitlin J. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Caitlin J. Smith. A scholar is included among the top collaborators of Caitlin J. 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 Caitlin J. Smith. Caitlin J. 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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15 of 15 papers shown

Pfaller, Michael A., Cecília G Carvalhaes, Caitlin J. Smith, Daniel J. Diekema, & Mariana Castanheira. (2020). Bacterial and fungal pathogens isolated from patients with bloodstream infection: frequency of occurrence and antimicrobial susceptibility patterns from the SENTRY Antimicrobial Surveillance Program (2012–2017). Diagnostic Microbiology and Infectious Disease. 97(2). 115016–115016. 33 indexed citations

Smith, Caitlin J., Rebecca J. Baer, Bruce Bedell, et al.. (2019). The Association of Polymorphisms in Circadian Clock and Lipid Metabolism Genes With 2nd Trimester Lipid Levels and Preterm Birth. Frontiers in Genetics. 10. 540–540. 15 indexed citations

Oliveira, Suely, et al.. (2019). Identifying Beta-Lactam Resistance with Neural Networks. 15. 1324–1330. 3 indexed citations

Duncan, Leonard R, Caitlin J. Smith, Robert K. Flamm, & Rodrigo E. Mendes. (2019). Regional analysis of telavancin and comparator antimicrobial activity against multidrug-resistant Staphylococcus aureus collected in the USA 2014–2016. Journal of Global Antimicrobial Resistance. 20. 118–123. 4 indexed citations

Castanheira, Mariana, Timothy B Doyle, Caitlin J. Smith, Rodrigo E. Mendes, & Hélio S. Sader. (2019). Combination of MexAB-OprM overexpression and mutations in efflux regulators, PBPs and chaperone proteins is responsible for ceftazidime/avibactam resistance in Pseudomonas aeruginosa clinical isolates from US hospitals. Journal of Antimicrobial Chemotherapy. 74(9). 2588–2595. 44 indexed citations

Smith, Caitlin J., Rebecca J. Baer, Scott P. Oltman, et al.. (2018). Maternal dyslipidemia and risk for preterm birth. PLoS ONE. 13(12). e0209579–e0209579. 39 indexed citations

Ryckman, Kelli K., Caitlin J. Smith, Rebecca J. Baer, et al.. (2018). 706: Maternal dyslipidemia and risk for preterm birth. American Journal of Obstetrics and Gynecology. 218(1). S425–S425. 3 indexed citations

Smith, Caitlin J., Kelli K. Ryckman, Timothy M. Bahr, & John M. Dagle. (2017). Polymorphisms in CYP2C9 are associated with response to indomethacin among neonates with patent ductus arteriosus. Pediatric Research. 82(5). 776–780. 17 indexed citations

Smith, Caitlin J., et al.. (2017). Polymorphisms in urea cycle enzyme genes are associated with persistent pulmonary hypertension of the newborn. Pediatric Research. 83(1). 142–147. 23 indexed citations

10.

Spracklen, Cassandra N., Caitlin J. Smith, Audrey F. Saftlas, et al.. (2016). Genetic predisposition to elevated levels of C-reactive protein is associated with a decreased risk for preeclampsia. Hypertension in Pregnancy. 36(1). 30–35. 3 indexed citations

11.

Smith, Caitlin J., Audrey F. Saftlas, Cassandra N. Spracklen, et al.. (2015). Genetic Risk Score for Essential Hypertension and Risk of Preeclampsia. American Journal of Hypertension. 29(1). 17–24. 16 indexed citations

12.

Ryckman, Kelli K. & Caitlin J. Smith. (2015). Epigenetic and developmental influences on the risk of obesity, diabetes, and metabolic syndrome. Diabetes Metabolic Syndrome and Obesity. 8. 295–295. 138 indexed citations

13.

Smith, Caitlin J., Kelli K. Ryckman, Vanessa M. Barnabei, et al.. (2015). The impact of birth weight on cardiovascular disease risk in the Women's Health Initiative. Nutrition Metabolism and Cardiovascular Diseases. 26(3). 239–245. 63 indexed citations

14.

Ryckman, Kelli K., Caitlin J. Smith, Laura L. Jelliffe‐Pawlowski, et al.. (2014). Metabolic heritability at birth: implications for chronic disease research. Human Genetics. 133(8). 1049–1057. 9 indexed citations

15.

Spracklen, Cassandra N., Caitlin J. Smith, Audrey F. Saftlas, Jennifer G. Robinson, & Kelli K. Ryckman. (2014). Maternal Hyperlipidemia and the Risk of Preeclampsia: a Meta-Analysis. American Journal of Epidemiology. 180(4). 346–358. 186 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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