Kayla Smith

11.0k total citations
9 papers, 416 citations indexed

About

Kayla Smith is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Kayla Smith has authored 9 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Cancer Research. Recurrent topics in Kayla Smith's work include RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers) and Genomics and Chromatin Dynamics (2 papers). Kayla Smith is often cited by papers focused on RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers) and Genomics and Chromatin Dynamics (2 papers). Kayla Smith collaborates with scholars based in United States. Kayla Smith's co-authors include David Haussler, Donna Karolchik, Robert M. Kuhn, Laurence Meyer, Brian J. Raney, G. P. Barber, Kate R. Rosenbloom, Angie S. Hinrichs, Brooke Rhead and Ann S. Zweig and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Kayla Smith

8 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kayla Smith United States	5	335	88	70	25	25	9	416
Laurence Meyer United States	4	283 0.8×	72 0.8×	63 0.9×	23 0.9×	22 0.9×	16	366
Katrina Learned United States	6	235 0.7×	61 0.7×	51 0.7×	31 1.2×	15 0.6×	12	327
David Piñeyro Spain	12	435 1.3×	116 1.3×	38 0.5×	56 2.2×	38 1.5×	23	514
Eva Michalová Czechia	6	276 0.8×	76 0.9×	35 0.5×	47 1.9×	21 0.8×	14	376
Raquel Boqué-Sastre Spain	8	396 1.2×	160 1.8×	78 1.1×	18 0.7×	26 1.0×	10	463
Gabrijela Dumbović United States	9	247 0.7×	142 1.6×	42 0.6×	13 0.5×	14 0.6×	17	308
Sowmya Iyer United States	3	619 1.8×	77 0.9×	106 1.5×	31 1.2×	60 2.4×	3	711
Yuzhong Jeff Meng United States	2	210 0.6×	144 1.6×	33 0.5×	18 0.7×	10 0.4×	2	284
Michael A. Cortázar United States	10	832 2.5×	62 0.7×	56 0.8×	29 1.2×	46 1.8×	12	896
Bowen Rong China	9	646 1.9×	211 2.4×	47 0.7×	28 1.1×	30 1.2×	14	699

Countries citing papers authored by Kayla Smith

Since Specialization

Citations

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

Fields of papers citing papers by Kayla Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayla Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Kayla Smith. A scholar is included among the top collaborators of Kayla 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 Kayla Smith. Kayla 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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9 of 9 papers shown

1.

Smith, Kayla, et al.. (2023). Association between goal nutrition and intubation in patients with bronchiolitis on noninvasive ventilation: A retrospective cohort study. Journal of Parenteral and Enteral Nutrition. 48(1). 100–107.

2.

Smith, Kayla, et al.. (2023). MAPPING BASIN GEOMETRY WITH A NOVEL JOINT INVERSION OF GRAVITY AND SEISMIC DATA TO ENHANCE THE SALT LAKE VALLEY, UTAH COMMUNITY VELOCITY MODEL. Abstracts with programs - Geological Society of America. 1 indexed citations

3.

Quijada, Jessica, Kayla Smith, T.A. Gipson, et al.. (2022). Transcript and blood-microbiome analysis towards a blood diagnostic tool for goats affected by Haemonchus contortus. Scientific Reports. 12(1). 5362–5362. 8 indexed citations

4.

Atherton, Andrea M., Dana Doheny, Dawn Peck, et al.. (2015). Newborn screening for Fabry disease: Is the A143T allele a pathogenic mutation or a pseudodeficiency allele?. Molecular Genetics and Metabolism. 114(2). S14–S15. 1 indexed citations

5.

Atherton, Andrea M., Dawn Peck, Katherine Christensen, et al.. (2015). The first two years of full population pilot newborn screening for lysosomal disorders: The Missouri experience. Molecular Genetics and Metabolism. 114(2). S15–S15. 1 indexed citations

6.

Sanborn, Zack, Stephen C. Benz, Brian Craft, et al.. (2010). The UCSC cancer genomics browser: update 2011. Nucleic Acids Research. 39(suppl_1). D951–D959. 64 indexed citations

7.

Rosenbloom, Kate R., Timothy R. Dreszer, Michael Pheasant, et al.. (2009). ENCODE whole-genome data in the UCSC Genome Browser. Nucleic Acids Research. 38(Database). D620–D625. 263 indexed citations

8.

Pohl, A., Charles W. Sugnet, Tyson A. Clark, et al.. (2009). Affy exon tissues: exon levels in normal tissues in human, mouse and rat. Bioinformatics. 25(18). 2442–2443. 12 indexed citations

9.

Thomas, Daniel, Kate R. Rosenbloom, Hiram Clawson, et al.. (2006). The ENCODE Project at UC Santa Cruz. Nucleic Acids Research. 35(Database). D663–D667. 66 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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