Azure D. Grant

421 total citations
20 papers, 277 citations indexed

About

Azure D. Grant is a scholar working on Endocrine and Autonomic Systems, Social Psychology and Behavioral Neuroscience. According to data from OpenAlex, Azure D. Grant has authored 20 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Endocrine and Autonomic Systems, 6 papers in Social Psychology and 6 papers in Behavioral Neuroscience. Recurrent topics in Azure D. Grant's work include Circadian rhythm and melatonin (11 papers), Stress Responses and Cortisol (6 papers) and Neuroendocrine regulation and behavior (6 papers). Azure D. Grant is often cited by papers focused on Circadian rhythm and melatonin (11 papers), Stress Responses and Cortisol (6 papers) and Neuroendocrine regulation and behavior (6 papers). Azure D. Grant collaborates with scholars based in United States, Netherlands and United Kingdom. Azure D. Grant's co-authors include Lance J. Kriegsfeld, Benjamin L. Smarr, Irving Zucker, Mark Newman, L. Pérez, Brian J. Prendergast, Camille Nebeker, Kathryn Wilsterman, Elise N. Erickson and Linda Wilbrecht and has published in prestigious journals such as SHILAP Revista de lepidopterología, Diabetes and Scientific Reports.

In The Last Decade

Azure D. Grant

19 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Azure D. Grant United States 8 123 68 66 47 43 20 277
Christopher Blaum Germany 8 115 0.9× 73 1.1× 36 0.5× 30 0.6× 60 1.4× 17 345
Julietta A. Sheng United States 6 35 0.3× 39 0.6× 31 0.5× 74 1.6× 132 3.1× 11 369
V. Montanini Italy 13 49 0.4× 46 0.7× 64 1.0× 23 0.5× 59 1.4× 23 463
Vidhi Tyagi United States 8 151 1.2× 124 1.8× 80 1.2× 17 0.4× 10 0.2× 16 378
Natalie J. Bales United States 5 35 0.3× 35 0.5× 28 0.4× 73 1.6× 127 3.0× 6 354
Alexandra N. Garcia United States 11 67 0.5× 60 0.9× 22 0.3× 36 0.8× 54 1.3× 15 462
Hiroki Noguchi Japan 10 144 1.2× 48 0.7× 34 0.5× 113 2.4× 12 0.3× 42 499
Arti Parganiha India 12 219 1.8× 91 1.3× 15 0.2× 31 0.7× 11 0.3× 48 490
Munkhsaikhan Munkhzaya Japan 11 123 1.0× 47 0.7× 80 1.2× 81 1.7× 90 2.1× 38 474
Altankhuu Tungalagsuvd Japan 12 125 1.0× 46 0.7× 86 1.3× 92 2.0× 103 2.4× 40 494

Countries citing papers authored by Azure D. Grant

Since Specialization
Citations

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

Fields of papers citing papers by Azure D. Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Azure D. Grant

This figure shows the co-authorship network connecting the top 25 collaborators of Azure D. Grant. A scholar is included among the top collaborators of Azure D. 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 Azure D. Grant. Azure D. 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.
2.
Grant, Azure D., et al.. (2025). Clustering of > 145,000 symptom logs reveals distinct pre, peri, and menopausal phenotypes. Scientific Reports. 15(1). 640–640. 1 indexed citations
3.
Grant, Azure D., Marie Crisel B. Erfe, Noah P. Zimmerman, et al.. (2025). Lactiplantibacillus plantarum Lp815 decreases anxiety in people with mild to moderate anxiety: a direct-to-consumer, randomised, double-blind, placebo-controlled study. Beneficial Microbes. 16(5). 1–12. 3 indexed citations
4.
Grant, Azure D., et al.. (2024). Deep learning model using continuous skin temperature data predicts labor onset. BMC Pregnancy and Childbirth. 24(1). 777–777. 1 indexed citations
5.
Grant, Azure D. & Lance J. Kriegsfeld. (2023). Neural substrates underlying rhythmic coupling of female reproductive and thermoregulatory circuits. Frontiers in Physiology. 14. 1254287–1254287. 4 indexed citations
6.
Grant, Azure D. & Lance J. Kriegsfeld. (2023). Continuous body temperature as a window into adolescent development. Developmental Cognitive Neuroscience. 60. 101221–101221. 4 indexed citations
7.
Grant, Azure D. & Benjamin L. Smarr. (2022). Feasibility of continuous distal body temperature for passive, early pregnancy detection. SHILAP Revista de lepidopterología. 1(5). e0000034–e0000034. 16 indexed citations
8.
Grant, Azure D. & Elise N. Erickson. (2022). Birth, love, and fear: Physiological networks from pregnancy to parenthood. SHILAP Revista de lepidopterología. 11. 100138–100138. 10 indexed citations
9.
Grant, Azure D., et al.. (2022). Analysis of wearable time series data in endocrine and metabolic research. Current Opinion in Endocrine and Metabolic Research. 25. 100380–100380. 4 indexed citations
10.
Grant, Azure D., Linda Wilbrecht, & Lance J. Kriegsfeld. (2022). Sex Differences in Pubertal Circadian and Ultradian Rhythmic Development Under Semi-naturalistic Conditions. Journal of Biological Rhythms. 37(4). 442–454. 4 indexed citations
11.
Grant, Azure D., Linda Wilbrecht, & Lance J. Kriegsfeld. (2021). Adolescent Development of Biological Rhythms in Female Rats: Estradiol Dependence and Effects of Combined Contraceptives. Frontiers in Physiology. 12. 8 indexed citations
12.
Grant, Azure D., Dana Lewis, & Lance J. Kriegsfeld. (2021). Multi-Timescale Rhythmicity of Blood Glucose and Insulin Delivery Reveals Key Advantages of Hybrid Closed Loop Therapy. Journal of Diabetes Science and Technology. 16(4). 912–920. 7 indexed citations
13.
Grant, Azure D., Mark Newman, & Lance J. Kriegsfeld. (2020). Ultradian rhythms in heart rate variability and distal body temperature anticipate onset of the luteinizing hormone surge. Scientific Reports. 10(1). 20378–20378. 36 indexed citations
14.
Grant, Azure D., et al.. (2019). Approaches to governance of participant-led research: a qualitative case study. BMJ Open. 9(4). e025633–e025633. 27 indexed citations
15.
Grant, Azure D., et al.. (2019). Free-Living Humans Cross Cardiovascular Disease Risk Categories Due to Daily Rhythms in Cholesterol and Triglycerides. SHILAP Revista de lepidopterología. 17(1). 3–3. 6 indexed citations
16.
Lewis, Dana & Azure D. Grant. (2019). 1056-P: Characterization of Multi-timescale Biological Rhythms in Individuals with Type 1 Diabetes. Diabetes. 68(Supplement_1). 2 indexed citations
17.
Grant, Azure D., Kathryn Wilsterman, Benjamin L. Smarr, & Lance J. Kriegsfeld. (2018). Evidence for a Coupled Oscillator Model of Endocrine Ultradian Rhythms. Journal of Biological Rhythms. 33(5). 475–496. 31 indexed citations
18.
Smarr, Benjamin L., Azure D. Grant, L. Pérez, Irving Zucker, & Lance J. Kriegsfeld. (2017). Maternal and Early-Life Circadian Disruption Have Long-Lasting Negative Consequences on Offspring Development and Adult Behavior in Mice. Scientific Reports. 7(1). 3326–3326. 61 indexed citations
19.
Smarr, Benjamin L., Azure D. Grant, Irving Zucker, Brian J. Prendergast, & Lance J. Kriegsfeld. (2017). Sex differences in variability across timescales in BALB/c mice. Biology of Sex Differences. 8(1). 7–7. 51 indexed citations
20.
Rosen, Robert B., et al.. (2008). Reduced Melatonin Levels in Age-Related Macular Degeneration Patients as Measured by Urinary 6-Sulfatoxymelatonin Level. Investigative Ophthalmology & Visual Science. 49(13). 3423–3423. 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

Breakdown of academic impact, for papers by Christopher Blaum Breakdown of academic impact, for papers by Julietta A. Sheng Breakdown of academic impact, for papers by V. Montanini Breakdown of academic impact, for papers by Vidhi Tyagi Breakdown of academic impact, for papers by Natalie J. Bales Breakdown of academic impact, for papers by Alexandra N. Garcia Breakdown of academic impact, for papers by Hiroki Noguchi Breakdown of academic impact, for papers by Arti Parganiha Breakdown of academic impact, for papers by Munkhsaikhan Munkhzaya Breakdown of academic impact, for papers by Altankhuu Tungalagsuvd
Rankless by CCL
2026