Nathan G. Lawler

1.2k total citations
34 papers, 664 citations indexed

About

Nathan G. Lawler is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Nathan G. Lawler has authored 34 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Physiology and 6 papers in Genetics. Recurrent topics in Nathan G. Lawler's work include Metabolomics and Mass Spectrometry Studies (18 papers), Adipose Tissue and Metabolism (9 papers) and High Altitude and Hypoxia (5 papers). Nathan G. Lawler is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (18 papers), Adipose Tissue and Metabolism (9 papers) and High Altitude and Hypoxia (5 papers). Nathan G. Lawler collaborates with scholars based in Australia, United Kingdom and United States. Nathan G. Lawler's co-authors include Nolan J. Hoffman, Luke Whiley, Nicola Gray, Jeremy K. Nicholson, Elaine Holmes, Sze-How Bong, Mary C. Boyce, Torben Kimhofer, Sofina Begum and Toby Richards and has published in prestigious journals such as The Lancet, Analytical Chemistry and Journal of Applied Physiology.

In The Last Decade

Nathan G. Lawler

31 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan G. Lawler Australia 14 339 154 118 116 83 34 664
Farid Ichou France 14 577 1.7× 77 0.5× 369 3.1× 19 0.2× 106 1.3× 27 999
Chih‐Min Chang Taiwan 9 370 1.1× 33 0.2× 167 1.4× 159 1.4× 68 0.8× 21 725
Claire Cannet Germany 13 342 1.0× 40 0.3× 71 0.6× 45 0.4× 56 0.7× 25 527
Jean‐Pierre Trezzi Luxembourg 13 361 1.1× 15 0.1× 218 1.8× 143 1.2× 68 0.8× 17 667
Jonathan M. Starkey United States 12 202 0.6× 29 0.2× 112 0.9× 28 0.2× 93 1.1× 15 538
Ursula Danilczyk Canada 11 426 1.3× 230 1.5× 65 0.6× 63 0.5× 56 0.7× 13 1.1k
Caroline Léger Canada 18 302 0.9× 33 0.2× 45 0.4× 164 1.4× 261 3.1× 34 1.1k
Alexander Breidenbach Switzerland 11 158 0.5× 46 0.3× 41 0.3× 28 0.2× 153 1.8× 20 621
Xiaowen Hu China 18 331 1.0× 20 0.1× 123 1.0× 20 0.2× 71 0.9× 46 676
Noé Alvarado‐Vásquez Mexico 17 210 0.6× 48 0.3× 128 1.1× 27 0.2× 56 0.7× 38 640

Countries citing papers authored by Nathan G. Lawler

Since Specialization
Citations

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

Fields of papers citing papers by Nathan G. Lawler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan G. Lawler

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan G. Lawler. A scholar is included among the top collaborators of Nathan G. Lawler 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 G. Lawler. Nathan G. Lawler 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.
2.
Fairchild, Timothy J., John Beilby, Bu B. Yeap, et al.. (2025). Effects of short‐term exercise on plasma metabolic and lipidomic profiles of individuals with type 2 diabetes. Experimental Physiology. 111(1). 69–97.
3.
Lawler, Nathan G., Lael M. Yonker, Samantha Lodge, et al.. (2025). Children with Post COVID-19 Multisystem Inflammatory Syndrome Display Unique Pathophysiological Metabolic Phenotypes. Journal of Proteome Research. 24(7). 3470–3483. 1 indexed citations
4.
Whiley, Luke, Nathan G. Lawler, Sung‐Tong Chin, et al.. (2024). Cross-Validation of Metabolic Phenotypes in SARS-CoV-2 Infected Subpopulations Using Targeted Liquid Chromatography–Mass Spectrometry (LC-MS). Journal of Proteome Research. 23(4). 1313–1327. 3 indexed citations
5.
Whiley, Luke, Nicola Gray, Melvin Gay, et al.. (2024). Rapid and Self-Administrable Capillary Blood Microsampling Demonstrates Statistical Equivalence with Standard Venous Collections in NMR-Based Lipoprotein Analysis. Analytical Chemistry. 96(11). 4505–4513. 4 indexed citations
6.
Lodge, Samantha, Nathan G. Lawler, Nicola Gray, et al.. (2023). Integrative Plasma Metabolic and Lipidomic Modelling of SARS-CoV-2 Infection in Relation to Clinical Severity and Early Mortality Prediction. International Journal of Molecular Sciences. 24(14). 11614–11614. 13 indexed citations
7.
Lawler, Nathan G., Mark W. Fear, Edward Raby, et al.. (2023). Comprehensive Lipidomic Workflow for Multicohort Population Phenotyping Using Stable Isotope Dilution Targeted Liquid Chromatography-Mass Spectrometry. Journal of Proteome Research. 22(5). 1419–1433. 21 indexed citations
8.
Boyce, Mary C., et al.. (2023). Lipidomic features of honey bee and colony health during limited supplementary feeding. Insect Molecular Biology. 32(6). 658–675. 7 indexed citations
9.
Peiffer, Jeremiah J., et al.. (2023). Exercise-induced responses in matrix metalloproteinases and osteopontin are not moderated by exercise format in males with overweight or obesity. European Journal of Applied Physiology. 123(5). 1115–1124. 7 indexed citations
10.
Anyaegbu, Chidozie C., Sarah C. Hellewell, Nathan G. Lawler, et al.. (2022). Plasma Lipid Profiles Change with Increasing Numbers of Mild Traumatic Brain Injuries in Rats. Metabolites. 12(4). 322–322. 8 indexed citations
11.
Whiley, Luke, et al.. (2022). Advanced Microsamples: Current Applications and Considerations for Mass Spectrometry-Based Metabolic Phenotyping Pipelines. Separations. 9(7). 175–175. 12 indexed citations
12.
Lawler, Nathan G., et al.. (2022). Metabolomics reveals mouse plasma metabolite responses to acute exercise and effects of disrupting AMPK-glycogen interactions. Frontiers in Molecular Biosciences. 9. 957549–957549. 4 indexed citations
13.
Kimhofer, Torben, Samantha Lodge, Luke Whiley, et al.. (2021). Correction to “Integrative Modeling of Quantitative Plasma Lipoprotein, Metabolic, and Amino Acid Data Reveals a Multiorgan Pathological Signature of SARS-CoV-2 Infection”. Journal of Proteome Research. 20(6). 3400–3400. 1 indexed citations
14.
Gray, Nicola, Nathan G. Lawler, Sze-How Bong, et al.. (2021). Diagnostic Potential of the Plasma Lipidome in Infectious Disease: Application to Acute SARS-CoV-2 Infection. Metabolites. 11(7). 467–467. 28 indexed citations
15.
Lawler, Nathan G., et al.. (2021). Metabolomics and Lipidomics: Expanding the Molecular Landscape of Exercise Biology. Australasian Journal of Paramedicine. 11(3). 151–151. 77 indexed citations
16.
Lawler, Nathan G., Nicola Gray, Torben Kimhofer, et al.. (2021). Systemic Perturbations in Amine and Kynurenine Metabolism Associated with Acute SARS-CoV-2 Infection and Inflammatory Cytokine Responses. Journal of Proteome Research. 20(5). 2796–2811. 79 indexed citations
17.
Gray, Nicola, Nathan G. Lawler, Rongchang Yang, et al.. (2020). A simultaneous exploratory and quantitative amino acid and biogenic amine metabolic profiling platform for rapid disease phenotyping via UPLC-QToF-MS. Talanta. 223(Pt 2). 121872–121872. 28 indexed citations
18.
Kimhofer, Torben, Samantha Lodge, Luke Whiley, et al.. (2020). Integrative Modeling of Quantitative Plasma Lipoprotein, Metabolic, and Amino Acid Data Reveals a Multiorgan Pathological Signature of SARS-CoV-2 Infection. Journal of Proteome Research. 19(11). 4442–4454. 125 indexed citations
19.
Boyce, Mary C., et al.. (2019). Introducing Undergraduate Students to Metabolomics Using Liquid Chromatography–High Resolution Mass Spectrometry Analysis of Horse Blood. Journal of Chemical Education. 96(4). 745–750. 19 indexed citations
20.
Lawler, Nathan G., Chris R. Abbiss, Joel P. A. Gummer, et al.. (2018). Characterizing the plasma metabolome during 14 days of live‐high, train‐low simulated altitude: A metabolomic approach. Experimental Physiology. 104(1). 81–92. 12 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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