Kayla A Johnson

674 total citations
9 papers, 498 citations indexed

About

Kayla A Johnson is a scholar working on Molecular Biology, Polymers and Plastics and Materials Chemistry. According to data from OpenAlex, Kayla A Johnson has authored 9 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Polymers and Plastics and 2 papers in Materials Chemistry. Recurrent topics in Kayla A Johnson's work include Dendrimers and Hyperbranched Polymers (4 papers), Bioinformatics and Genomic Networks (3 papers) and Gene expression and cancer classification (3 papers). Kayla A Johnson is often cited by papers focused on Dendrimers and Hyperbranched Polymers (4 papers), Bioinformatics and Genomic Networks (3 papers) and Gene expression and cancer classification (3 papers). Kayla A Johnson collaborates with scholars based in United States and Poland. Kayla A Johnson's co-authors include Anna Janaszewska, Barbara Klajnert‐Maculewicz, David M. Hedstrand, Donald A. Tomalia, Arjun Krishnan, Christopher A Mancuso, Sarah Peruzzaro, Bhairavi Srinageshwar, Douglas R. Swanson and Ajit Sharma and has published in prestigious journals such as Bioinformatics, Nature Methods and Progress in Polymer Science.

In The Last Decade

Kayla A Johnson

8 papers receiving 493 citations

Peers

Kayla A Johnson
Kana Tanabe Japan
Ievgen Shulov France
Gengwei Lin China
Johannes F. Petersen Denmark
Lukas J. Patalag Germany
Sheng‐Yao Dai United Kingdom
Felix C. Niemeyer Germany
Alexander S. Mathew United States
Jin‐Tao Wang China
Shih-Yu Kuo Taiwan
Kana Tanabe Japan
Kayla A Johnson
Citations per year, relative to Kayla A Johnson Kayla A Johnson (= 1×) peers Kana Tanabe

Countries citing papers authored by Kayla A Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Kayla A Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayla A Johnson

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

All Works

9 of 9 papers shown
1.
Yuan, Hao, Christopher A Mancuso, Kayla A Johnson, Ingo Braasch, & Arjun Krishnan. (2025). Computational strategies for cross-species knowledge transfer. Nature Methods. 23(2). 312–327.
2.
Mancuso, Christopher A, et al.. (2024). Joint representation of molecular networks from multiple species improves gene classification. PLoS Computational Biology. 20(1). e1011773–e1011773. 3 indexed citations
3.
Johnson, Kayla A & Arjun Krishnan. (2022). Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data. Genome biology. 23(1). 1–1. 58 indexed citations
4.
Mancuso, Christopher A, et al.. (2020). Supervised learning is an accurate method for network-based gene classification. Bioinformatics. 36(11). 3457–3465. 22 indexed citations
5.
Srinageshwar, Bhairavi, Maria Florendo, Kayla A Johnson, et al.. (2020). A Mixed-Surface Polyamidoamine Dendrimer for In Vitro and In Vivo Delivery of Large Plasmids. Pharmaceutics. 12(7). 619–619. 8 indexed citations
6.
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8.
Johnson, Kayla A, Joanna L. Stollings, & E. Wesley Ely. (2017). Breaking Bad Delirium: Methamphetamine and Boric Acid Toxicity with Hallucinations and Pseudosepsis. Southern Medical Journal. 110(2). 138–141. 3 indexed citations
9.
Srinageshwar, Bhairavi, Sarah Peruzzaro, Kayla A Johnson, et al.. (2017). PAMAM Dendrimers Cross the Blood–Brain Barrier When Administered through the Carotid Artery in C57BL/6J Mice. International Journal of Molecular Sciences. 18(3). 628–628. 59 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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2026