Bryan Laraway

1.9k total citations
11 papers, 330 citations indexed

About

Bryan Laraway is a scholar working on Molecular Biology, Infectious Diseases and Neurology. According to data from OpenAlex, Bryan Laraway has authored 11 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Infectious Diseases and 3 papers in Neurology. Recurrent topics in Bryan Laraway's work include COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Bryan Laraway is often cited by papers focused on COVID-19 Clinical Research Studies (4 papers), Long-Term Effects of COVID-19 (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Bryan Laraway collaborates with scholars based in United States, Italy and Australia. Bryan Laraway's co-authors include Megan L. Troxell, Rosalie C. Sears, Xiaoyan Wang, Xiaoli Zhang, Melissa Cunningham, Sara Tokarz, Dexi Chen, Hugh Arnold, Amy Farrell and Lawrence Lum and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Cancer Research.

In The Last Decade

Bryan Laraway

10 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan Laraway United States 7 193 75 53 35 33 11 330
Vladimír Mihál Czechia 11 170 0.9× 49 0.7× 48 0.9× 17 0.5× 16 0.5× 29 353
Jinping Lu China 10 172 0.9× 77 1.0× 50 0.9× 25 0.7× 62 1.9× 12 296
Renee Fisher United States 9 116 0.6× 33 0.4× 17 0.3× 17 0.5× 50 1.5× 32 254
Amin Daei Sorkhabi Iran 10 92 0.5× 161 2.1× 51 1.0× 36 1.0× 37 1.1× 22 374
Lauretta A. Lacko United States 10 161 0.8× 46 0.6× 31 0.6× 10 0.3× 38 1.2× 15 373
Johanna M. Schuetz Canada 11 179 0.9× 129 1.7× 66 1.2× 13 0.4× 58 1.8× 20 431
Anna Paterson United Kingdom 13 92 0.5× 92 1.2× 40 0.8× 20 0.6× 40 1.2× 40 336
Yu-Chu Wang Taiwan 11 117 0.6× 98 1.3× 15 0.3× 14 0.4× 25 0.8× 14 295
Lorenzo Iovino United States 10 71 0.4× 82 1.1× 20 0.4× 13 0.4× 19 0.6× 38 317

Countries citing papers authored by Bryan Laraway

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Laraway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Laraway

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

All Works

11 of 11 papers shown
1.
Hadley, Emily, Yun Jae Yoo, Bryan Laraway, et al.. (2024). Insights from an N3C RECOVER EHR-based cohort study characterizing SARS-CoV-2 reinfections and Long COVID. SHILAP Revista de lepidopterología. 4(1). 129–129. 18 indexed citations
2.
Coleman, Ben, Elena Casiraghi, Tiffany J. Callahan, et al.. (2024). Association of post-COVID phenotypic manifestations with new-onset psychiatric disease. Translational Psychiatry. 14(1). 246–246. 1 indexed citations
3.
Blau, Hannah, Elena Casiraghi, Johanna Loomba, et al.. (2023). Predictive models of long COVID. EBioMedicine. 96. 104777–104777. 18 indexed citations
4.
Tobias, Joseph, Bryan Laraway, Brian K. Jordan, et al.. (2022). Bifidobacterium longum subsp. infantis EVC001 Administration Is Associated with a Significant Reduction in the Incidence of Necrotizing Enterocolitis in Very Low Birth Weight Infants. The Journal of Pediatrics. 244. 64–71.e2. 24 indexed citations
5.
Chan, Lauren, Elena Casiraghi, Bryan Laraway, et al.. (2022). Metformin is associated with reduced COVID-19 severity in patients with prediabetes. Diabetes Research and Clinical Practice. 194. 110157–110157. 12 indexed citations
6.
Cutillo, Christine M., Pierantonio Russo, Bryan Laraway, et al.. (2021). The IDeaS initiative: pilot study to assess the impact of rare diseases on patients and healthcare systems. Orphanet Journal of Rare Diseases. 16(1). 429–429. 53 indexed citations
7.
Rutten, Michael J., Bryan Laraway, Hua Xie, et al.. (2015). Rapid assay of stem cell functionality and potency using electric cell-substrate impedance sensing. Stem Cell Research & Therapy. 6(1). 192–192. 4 indexed citations
9.
Wang, Xiaoyan, Melissa Cunningham, Xiaoli Zhang, et al.. (2011). Phosphorylation Regulates c-Myc's Oncogenic Activity in the Mammary Gland. Cancer Research. 71(3). 925–936. 130 indexed citations
10.
Zhang, Xiaoli, Amy Farrell, Colin J. Daniel, et al.. (2011). Mechanistic insight into Myc stabilization in breast cancer involving aberrant Axin1 expression. Proceedings of the National Academy of Sciences. 109(8). 2790–2795. 65 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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