Gregory R. Grant

11.6k total citations
98 papers, 5.5k citations indexed

About

Gregory R. Grant is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Pharmacology. According to data from OpenAlex, Gregory R. Grant has authored 98 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 15 papers in Endocrine and Autonomic Systems and 14 papers in Pharmacology. Recurrent topics in Gregory R. Grant's work include Circadian rhythm and melatonin (15 papers), RNA modifications and cancer (13 papers) and Inflammatory mediators and NSAID effects (13 papers). Gregory R. Grant is often cited by papers focused on Circadian rhythm and melatonin (15 papers), RNA modifications and cancer (13 papers) and Inflammatory mediators and NSAID effects (13 papers). Gregory R. Grant collaborates with scholars based in United States, United Kingdom and India. Gregory R. Grant's co-authors include Elisabetta Manduchi, Garret A. FitzGerald, Christian J. Stoeckert, Peter F. Davies, Nicholas F. Lahens, Warren J. Ewens, John A. Lawson, John B. Hogenesch, Tilo Großer and Jonathan Schug and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Gregory R. Grant

96 papers receiving 5.4k citations

Peers

Gregory R. Grant
Andrew S. Greene United States
Sylvain Pradervand Switzerland
Annette R. Atkins United States
Tim Wiltshire United States
Je Kyung Seong South Korea
Marcus Seldin United States
Howard J. Jacob United States
Dominique Gauguier United Kingdom
Andrew S. Greene United States
Gregory R. Grant
Citations per year, relative to Gregory R. Grant Gregory R. Grant (= 1×) peers Andrew S. Greene

Countries citing papers authored by Gregory R. Grant

Since Specialization
Citations

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

Fields of papers citing papers by Gregory R. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory R. Grant. 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 Gregory R. Grant. The network helps show where Gregory R. Grant may publish in the future.

Co-authorship network of co-authors of Gregory R. Grant

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory R. Grant. A scholar is included among the top collaborators of Gregory R. Grant 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 Gregory R. Grant. Gregory R. Grant 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.
Theken, Katherine N., Carsten Skarke, Susanne Fries, et al.. (2025). Degree of Cyclooxygenase-2 Inhibition Modulates Blood Pressure Response. Hypertension. 83(2). e25516–e25516.
2.
Brooks, Thomas G., et al.. (2023). Meta-analysis of Diurnal Transcriptomics in Mouse Liver Reveals Low Repeatability of Rhythm Analyses. Journal of Biological Rhythms. 38(6). 556–570. 12 indexed citations
3.
Naik, Amruta, Utham K. Valekunja, Soon Yew Tang, et al.. (2023). Circadian regulation of lung repair and regeneration. JCI Insight. 8(16). 7 indexed citations
4.
Lahens, Nicholas F., Cynthia T. Hsu, Gregory R. Grant, et al.. (2023). Evidence for a role of human blood-borne factors in mediating age-associated changes in molecular circadian rhythms. eLife. 12. 2 indexed citations
5.
Kelly, Derek E., Shweta Ramdas, Rong Ma, et al.. (2023). The genetic and evolutionary basis of gene expression variation in East Africans. Genome biology. 24(1). 6 indexed citations
6.
Skarke, Carsten, Ronan Lordan, Amruta Naik, et al.. (2023). Modulation of the Immune Response to Severe Acute Respiratory Syndrome Coronavirus 2 Vaccination by Nonsteroidal Anti-Inflammatory Drugs. Journal of Pharmacology and Experimental Therapeutics. 386(2). 198–204. 1 indexed citations
7.
Brooks, Thomas G., Nicholas F. Lahens, Gregory R. Grant, et al.. (2023). Diurnal rhythms of wrist temperature are associated with future disease risk in the UK Biobank. Nature Communications. 14(1). 5172–5172. 24 indexed citations
8.
Lahens, Nicholas F., Mahboob Rahman, Jordana B. Cohen, et al.. (2022). Time-specific associations of wearable sensor-based cardiovascular and behavioral readouts with disease phenotypes in the outpatient setting of the Chronic Renal Insufficiency Cohort. Digital Health. 8. 2282130183–2282130183. 6 indexed citations
9.
Theken, Katherine N., Elliot V. Hersh, Nicholas F. Lahens, et al.. (2019). Variability in the Analgesic Response to Ibuprofen Is Associated With Cyclooxygenase Activation in Inflammatory Pain. Clinical Pharmacology & Therapeutics. 106(3). 632–641. 25 indexed citations
10.
Norton, Scott, Jorge Vaquero-Garcia, Nicholas F. Lahens, Gregory R. Grant, & Yoseph Barash. (2017). Outlier detection for improved differential splicing quantification from RNA-Seq experiments with replicates. Bioinformatics. 34(9). 1488–1497. 25 indexed citations
11.
Palozola, Katherine C., Greg Donahue, Hong Liu, et al.. (2017). Mitotic transcription and waves of gene reactivation during mitotic exit. Science. 358(6359). 119–122. 168 indexed citations
12.
Skarke, Carsten, Nicholas F. Lahens, Seth D. Rhoades, et al.. (2017). A Pilot Characterization of the Human Chronobiome. Scientific Reports. 7(1). 17141–17141. 59 indexed citations
13.
Mazaleuskaya, Liudmila L., John A. Lawson, Xuanwen Li, et al.. (2016). A broad-spectrum lipidomics screen of antiinflammatory drug combinations in human blood. JCI Insight. 1(12). 26 indexed citations
14.
Hayer, Katharina E., Angel Pizarro, Nicholas F. Lahens, John B. Hogenesch, & Gregory R. Grant. (2015). Benchmark analysis of algorithms for determining and quantifying full-length mRNA splice forms from RNA-seq data. Bioinformatics. 31(24). 3938–3945. 64 indexed citations
15.
Lahens, Nicholas F., İbrahim Halil Kavaklı, Ray Zhang, et al.. (2014). IVT-seq reveals extreme bias in RNA sequencing. Genome biology. 15(6). R86–R86. 110 indexed citations
16.
Großer, Tilo, Susanne Fries, John A. Lawson, et al.. (2012). Drug Resistance and Pseudoresistance. Circulation. 127(3). 377–385. 132 indexed citations
17.
Hughes, Michael E., et al.. (2012). Deep sequencing the circadian and diurnal transcriptome ofDrosophilabrain. Genome Research. 22(7). 1266–1281. 129 indexed citations
18.
Sethupathy, Praveen, Christelle Borel, Maryline Gagnebin, et al.. (2007). Human microRNA-155 on Chromosome 21 Differentially Interacts with Its Polymorphic Target in the AGTR1 3′ Untranslated Region: A Mechanism for Functional Single-Nucleotide Polymorphisms Related to Phenotypes. The American Journal of Human Genetics. 81(2). 405–413. 305 indexed citations
19.
Kapfhamer, David, et al.. (2006). Biochemical, molecular and behavioral phenotypes of Rab3A mutations in the mouse. Genes Brain & Behavior. 6(1). 77–96. 28 indexed citations
20.
Brown, Glen, et al.. (1997). Co-Trimoxazole Induced Multi-Organ Failure. The Canadian Journal of Hospital Pharmacy. 50(6). 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.

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