Nathan Lawless

5.8k total citations
24 papers, 718 citations indexed

About

Nathan Lawless is a scholar working on Molecular Biology, Geriatrics and Gerontology and Health Information Management. According to data from OpenAlex, Nathan Lawless has authored 24 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Geriatrics and Gerontology and 6 papers in Health Information Management. Recurrent topics in Nathan Lawless's work include Pharmaceutical Practices and Patient Outcomes (7 papers), Electronic Health Records Systems (6 papers) and Patient Safety and Medication Errors (4 papers). Nathan Lawless is often cited by papers focused on Pharmaceutical Practices and Patient Outcomes (7 papers), Electronic Health Records Systems (6 papers) and Patient Safety and Medication Errors (4 papers). Nathan Lawless collaborates with scholars based in United States, Germany and United Kingdom. Nathan Lawless's co-authors include Emily Beth Devine, Jennifer L. Wilson‐Norton, David J. Lynn, Ryan N. Hansen, Sean D. Sullivan, David K. Blough, William Hollingworth, Cliona O’Farrelly, Diane P. Martin and Amir Foroushani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Nathan Lawless

23 papers receiving 686 citations

Peers

Nathan Lawless
A. K. Dubey United States
Rosemary Spencer United Kingdom
Kelly Dowhower Karpa United States
Jason K. Wang United States
Rebecca Hills United States
Sarah Brown United States
A. K. Dubey United States
Nathan Lawless
Citations per year, relative to Nathan Lawless Nathan Lawless (= 1×) peers A. K. Dubey

Countries citing papers authored by Nathan Lawless

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Lawless

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Lawless

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

All Works

20 of 20 papers shown
1.
Kargl, Dominic, et al.. (2024). BrainTACO: an explorable multi-scale multi-modal brain transcriptomic and connectivity data resource. Communications Biology. 7(1). 730–730. 1 indexed citations
2.
Arora, Jatin, A. Mesut Erzurumluoglu, Stephen A. Stanhope, et al.. (2024). Enhancing patient representation learning with inferred family pedigrees improves disease risk prediction. Journal of the American Medical Informatics Association. 32(3). 435–446.
3.
Dong, Pengfei, Liting Song, Jaroslav Bendl, et al.. (2024). A multi-regional human brain atlas of chromatin accessibility and gene expression facilitates promoter-isoform resolution genetic fine-mapping. Nature Communications. 15(1). 10113–10113. 1 indexed citations
4.
Alanis‐Lobato, Gregorio, et al.. (2022). Knowledge Graphs for Indication Expansion: An Explainable Target-Disease Prediction Method. Frontiers in Genetics. 13. 814093–814093. 4 indexed citations
5.
Lawless, Nathan, et al.. (2020). A Methodology to Develop Knowledge Graphs for Indication Expansion: An Exploratory Study. 1720–1727. 2 indexed citations
6.
Nollet, Mathieu, Andrew McCarthy, Huihai Wu, et al.. (2019). REM sleep’s unique associations with corticosterone regulation, apoptotic pathways, and behavior in chronic stress in mice. Proceedings of the National Academy of Sciences. 116(7). 2733–2742. 65 indexed citations
7.
Naujock, Maximilian, Sandra E. Fischer, Stefan Jäger, et al.. (2019). CRISPR/Cas9-mediated Knockout of the Neuropsychiatric Risk Gene KCTD13 Causes Developmental Deficits in Human Cortical Neurons Derived from Induced Pluripotent Stem Cells. Molecular Neurobiology. 57(2). 616–634. 18 indexed citations
8.
Karabatsiakis, Alexander, Christina Böck, Tom Bretschneider, et al.. (2019). Activation of the kynurenine pathway and mitochondrial respiration to face allostatic load in a double-hit model of stress. Psychoneuroendocrinology. 107. 148–159. 20 indexed citations
9.
Tavares‐Ferreira, Diana, Nathan Lawless, David Collier, et al.. (2019). Correlation of miRNA expression with intensity of neuropathic pain in man. Molecular Pain. 15. 2225664099–2225664099. 21 indexed citations
10.
Carbajosa, Guillermo, Karim Malki, Nathan Lawless, et al.. (2018). Loss of Trem2 in microglia leads to widespread disruption of cell coexpression networks in mouse brain. Neurobiology of Aging. 69. 151–166. 27 indexed citations
11.
Bassano, Irene, et al.. (2017). Accurate characterization of the IFITM locus using MiSeq and PacBio sequencing shows genetic variation in Galliformes. BMC Genomics. 18(1). 419–419. 12 indexed citations
12.
Lawless, Nathan, et al.. (2014). The Role of microRNAs in Bovine Infection and Immunity. Frontiers in Immunology. 5. 611–611. 52 indexed citations
13.
Lawless, Nathan, Timothy A. Reinhardt, Kenneth Bryan, et al.. (2014). MicroRNA Regulation of Bovine Monocyte Inflammatory and Metabolic Networks in anIn VivoInfection Model. G3 Genes Genomes Genetics. 4(6). 957–971. 44 indexed citations
14.
Lawless, Nathan, Amir Foroushani, Matthew S. McCabe, Cliona O’Farrelly, & David J. Lynn. (2013). Next Generation Sequencing Reveals the Expression of a Unique miRNA Profile in Response to a Gram-Positive Bacterial Infection. PLoS ONE. 8(3). e57543–e57543. 94 indexed citations
15.
Devine, Emily Beth, Ryan N. Hansen, Jennifer L. Wilson‐Norton, et al.. (2010). The impact of computerized provider order entry on medication errors in a multispecialty group practice. Journal of the American Medical Informatics Association. 17(1). 78–84. 127 indexed citations
16.
Devine, Emily Beth, et al.. (2009). Strategies to optimize medication use in the physician group practice: The role of the clinical pharmacist. Journal of the American Pharmacists Association. 49(2). 181–191. 23 indexed citations
17.
Devine, Emily Beth, William Hollingworth, Ryan N. Hansen, et al.. (2009). Electronic Prescribing at the Point of Care: A Time–Motion Study in the Primary Care Setting. Health Services Research. 45(1). 152–171. 52 indexed citations
18.
Hollingworth, William, Emily Beth Devine, Ryan N. Hansen, et al.. (2007). The Impact of e-Prescribing on Prescriber and Staff Time in Ambulatory Care Clinics: A Time-Motion Study. Journal of the American Medical Informatics Association. 14(6). 722–730. 90 indexed citations
19.
Devine, Emily Beth, Jennifer L. Wilson‐Norton, Nathan Lawless, et al.. (2007). Characterization of prescribing errors in an internal medicine clinic. American Journal of Health-System Pharmacy. 64(10). 1062–1070. 40 indexed citations
20.
Devine, Emily Beth, et al.. (2005). Table 2, NCC MERP Definition of a medication error and Risk Assessment Index. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026