Stephanie V. Koebele

954 total citations
23 papers, 666 citations indexed

About

Stephanie V. Koebele is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience. According to data from OpenAlex, Stephanie V. Koebele has authored 23 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 16 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Behavioral Neuroscience. Recurrent topics in Stephanie V. Koebele's work include Estrogen and related hormone effects (17 papers), Menopause: Health Impacts and Treatments (16 papers) and Stress Responses and Cortisol (8 papers). Stephanie V. Koebele is often cited by papers focused on Estrogen and related hormone effects (17 papers), Menopause: Health Impacts and Treatments (16 papers) and Stress Responses and Cortisol (8 papers). Stephanie V. Koebele collaborates with scholars based in United States, Bolivia and France. Stephanie V. Koebele's co-authors include Heather A. Bimonte‐Nelson, Sarah E. Mennenga, Lauren T. Hewitt, Loretta P. Mayer, Cheryl A. Dyer, Ryoko Hiroi, Elizabeth B. Engler-Chiurazzi, Leslie C. Baxter, Julia E. Gerson and Laurence M. Demers and has published in prestigious journals such as Scientific Reports, Endocrinology and Science Advances.

In The Last Decade

Stephanie V. Koebele

22 papers receiving 656 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephanie V. Koebele United States 16 252 245 170 144 96 23 666
María José Bellini Argentina 14 130 0.5× 141 0.6× 207 1.2× 179 1.2× 117 1.2× 37 952
Alison Berent‐Spillson United States 13 175 0.7× 122 0.5× 102 0.6× 83 0.6× 115 1.2× 15 509
Matteo Pieri Italy 12 269 1.1× 167 0.7× 151 0.9× 43 0.3× 45 0.5× 19 621
Ichiro Murai Japan 20 284 1.1× 116 0.5× 99 0.6× 110 0.8× 205 2.1× 30 1.0k
Francisca Díaz Spain 20 128 0.5× 107 0.4× 169 1.0× 121 0.8× 297 3.1× 46 929
Ar Genazzani Italy 17 287 1.1× 210 0.9× 271 1.6× 107 0.7× 108 1.1× 40 917
Xue-Jun Yang United States 9 191 0.8× 147 0.6× 51 0.3× 216 1.5× 362 3.8× 10 1.1k
Natalia Lagunas Spain 13 125 0.5× 129 0.5× 200 1.2× 75 0.5× 37 0.4× 20 481
Esther Fuente-Martín Spain 18 146 0.6× 114 0.5× 114 0.7× 131 0.9× 401 4.2× 22 1.1k
Claudia Mohn Argentina 17 96 0.4× 47 0.2× 126 0.7× 109 0.8× 168 1.8× 35 861

Countries citing papers authored by Stephanie V. Koebele

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie V. Koebele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie V. Koebele. 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 Stephanie V. Koebele. The network helps show where Stephanie V. Koebele may publish in the future.

Co-authorship network of co-authors of Stephanie V. Koebele

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie V. Koebele. A scholar is included among the top collaborators of Stephanie V. Koebele 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 Stephanie V. Koebele. Stephanie V. Koebele 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.
Trumble, Benjamin C., Thomas S. Kraft, Angela R. García, et al.. (2023). Apolipoprotein- ε 4 is associated with higher fecundity in a natural fertility population. Science Advances. 9(32). eade9797–eade9797. 16 indexed citations
2.
Koebele, Stephanie V., Jason M. Newbern, Dale F. DeNardo, et al.. (2023). Gynecological surgery in adulthood imparts cognitive and brain changes in rats: A focus on hysterectomy at short-, moderate-, and long-term intervals after surgery. Hormones and Behavior. 155. 105411–105411. 1 indexed citations
4.
Peña, Verónica, et al.. (2022). Task-dependent learning and memory deficits in the TgF344-AD rat model of Alzheimer’s disease: three key timepoints through middle-age in females. Scientific Reports. 12(1). 14596–14596. 18 indexed citations
5.
Koebele, Stephanie V., et al.. (2021). Oestrogen treatment modulates the impact of cognitive experience and task complexity on memory in middle‐aged surgically menopausal rats. Journal of Neuroendocrinology. 33(9). e13002–e13002. 3 indexed citations
6.
Beckmann, Joshua S., et al.. (2021). Natural and synthetic estrogens specifically alter nicotine demand and cue-induced nicotine seeking in female rats. Neuropharmacology. 198. 108756–108756. 22 indexed citations
7.
Koebele, Stephanie V., Zehra Esra Ilhan, Blake Dirks, et al.. (2021). Surgical Menopause and Estrogen Therapy Modulate the Gut Microbiota, Obesity Markers, and Spatial Memory in Rats. Frontiers in Cellular and Infection Microbiology. 11. 702628–702628. 35 indexed citations
8.
Koebele, Stephanie V., Ryoko Hiroi, Sarah E. Mennenga, et al.. (2021). Clinically Used Hormone Formulations Differentially Impact Memory, Anxiety-Like, and Depressive-Like Behaviors in a Rat Model of Transitional Menopause. Frontiers in Behavioral Neuroscience. 15. 696838–696838. 13 indexed citations
9.
Koebele, Stephanie V., Sarah E. Mennenga, Lauren T. Hewitt, et al.. (2020). Characterizing the effects of tonic 17β-estradiol administration on spatial learning and memory in the follicle-deplete middle-aged female rat. Hormones and Behavior. 126. 104854–104854. 16 indexed citations
10.
Hewitt, Lauren T., Stephanie V. Koebele, Lei Xing, et al.. (2019). The Noonan Syndrome-linked Raf1L613V mutation drives increased glial number in the mouse cortex and enhanced learning. PLoS Genetics. 15(4). e1008108–e1008108. 23 indexed citations
11.
12.
Koebele, Stephanie V., et al.. (2018). Hysterectomy Uniquely Impacts Spatial Memory in a Rat Model: A Role for the Nonpregnant Uterus in Cognitive Processes. Endocrinology. 160(1). 1–19. 31 indexed citations
13.
Koebele, Stephanie V. & Heather A. Bimonte‐Nelson. (2016). Modeling menopause: The utility of rodents in translational behavioral endocrinology research. Maturitas. 87. 5–17. 191 indexed citations
14.
Koebele, Stephanie V., Sarah E. Mennenga, Ryoko Hiroi, et al.. (2016). Cognitive changes across the menopause transition: A longitudinal evaluation of the impact of age and ovarian status on spatial memory. Hormones and Behavior. 87. 96–114. 43 indexed citations
16.
Koebele, Stephanie V. & Heather A. Bimonte‐Nelson. (2016). The endocrine-brain-aging triad where many paths meet: female reproductive hormone changes at midlife and their influence on circuits important for learning and memory. Experimental Gerontology. 94. 14–23. 32 indexed citations
17.
18.
Koebele, Stephanie V. & Heather A. Bimonte‐Nelson. (2015). Trajectories and phenotypes with estrogen exposures across the lifespan: What does Goldilocks have to do with it?. Hormones and Behavior. 74. 86–104. 36 indexed citations
20.
Mennenga, Sarah E., Leslie C. Baxter, Gene A. Brewer, et al.. (2014). Navigating to new frontiers in behavioral neuroscience: traditional neuropsychological tests predict human performance on a rodent-inspired radial-arm maze. Frontiers in Behavioral Neuroscience. 8. 13 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