Olivia Walch

1.1k total citations
38 papers, 655 citations indexed

About

Olivia Walch is a scholar working on Experimental and Cognitive Psychology, Endocrine and Autonomic Systems and Cognitive Neuroscience. According to data from OpenAlex, Olivia Walch has authored 38 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Experimental and Cognitive Psychology, 17 papers in Endocrine and Autonomic Systems and 6 papers in Cognitive Neuroscience. Recurrent topics in Olivia Walch's work include Circadian rhythm and melatonin (17 papers), Sleep and related disorders (13 papers) and Sleep and Wakefulness Research (5 papers). Olivia Walch is often cited by papers focused on Circadian rhythm and melatonin (17 papers), Sleep and related disorders (13 papers) and Sleep and Wakefulness Research (5 papers). Olivia Walch collaborates with scholars based in United States, Canada and Norway. Olivia Walch's co-authors include Daniel B. Forger, Yitong Huang, Amy L. Cochran, Cathy Goldstein, Philip Cheng, Christopher L. Drake, Helen J. Burgess, Marisa C. Eisenberg, Thomas Roth and Jonathan Tyler and has published in prestigious journals such as Current Biology, Journal of Neurophysiology and Science Advances.

In The Last Decade

Olivia Walch

36 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olivia Walch United States 10 361 234 194 150 75 38 655
Michitaka Yoshimura Japan 13 235 0.7× 85 0.4× 127 0.7× 43 0.3× 14 0.2× 17 559
Vitaliy Kolodyazhniy Switzerland 10 240 0.7× 135 0.6× 200 1.0× 33 0.2× 27 0.4× 21 463
Patricia Stenuit Belgium 12 423 1.2× 142 0.6× 403 2.1× 101 0.7× 20 0.3× 14 675
Svetlana Postnova Australia 20 304 0.8× 345 1.5× 492 2.5× 61 0.4× 9 0.1× 51 833
Dennis A. Dean United States 9 189 0.5× 143 0.6× 215 1.1× 180 1.2× 42 0.6× 13 473
Jolanta Masiak Poland 13 105 0.3× 29 0.1× 236 1.2× 32 0.2× 30 0.4× 76 649
Emma L Arbon United Kingdom 7 305 0.8× 141 0.6× 291 1.5× 44 0.3× 7 0.1× 7 589
Ali Yoonessi Iran 17 92 0.3× 45 0.2× 319 1.6× 51 0.3× 5 0.1× 57 827
Hadas Lewy Israel 16 36 0.1× 53 0.2× 61 0.3× 51 0.3× 129 1.7× 28 742

Countries citing papers authored by Olivia Walch

Since Specialization
Citations

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

Fields of papers citing papers by Olivia Walch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivia Walch

This figure shows the co-authorship network connecting the top 25 collaborators of Olivia Walch. A scholar is included among the top collaborators of Olivia Walch 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 Olivia Walch. Olivia Walch 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.
Huang, Yitong, Tatiana Simon, Omar H. Butt, et al.. (2025). Circadian variation in MGMT promoter methylation and expression predicts sensitivity to temozolomide in glioblastoma. Journal of Neuro-Oncology. 176(1). 36–36.
2.
Campian, Jian, Omar H. Butt, Marc D. Ruben, et al.. (2025). Tracking Daily Variations in Rest-Wake to Guide Personalized Timing of Temozolomide for High-Grade Glioma Patients. Journal of Biological Rhythms. 40(4). 320–329. 1 indexed citations
3.
Walch, Olivia, Walter Dempsey, Zachery R. Reichert, et al.. (2025). A circadian and app-based personalized lighting intervention for the reduction of cancer-related fatigue. Cell Reports Medicine. 6(3). 102001–102001. 1 indexed citations
4.
Kim, Dae Wook, et al.. (2024). The Combination of Topological Data Analysis and Mathematical Modeling Improves Sleep Stage Prediction From Consumer-Grade Wearables. Journal of Biological Rhythms. 39(6). 535–553. 5 indexed citations
5.
Moreno, Jennette P., et al.. (2024). 0285 Measuring Sleep with the Apple Watch: A Comparison of a Machine Learning versus Traditional Algorithms to Actiwatch. SLEEP. 47(Supplement_1). A123–A123. 1 indexed citations
6.
Walch, Olivia, et al.. (2024). Beyond phase shifting: targeting circadian amplitude for light interventions in humans. SLEEP. 48(1). 2 indexed citations
7.
Kalmbach, David A., Philip Cheng, Anthony N. Reffi, et al.. (2023). Reducing cognitive arousal and sleep effort alleviates insomnia and depression in pregnant women with DSM-5 insomnia disorder treated with a mindfulness sleep program. SLEEP Advances. 4(1). zpad031–zpad031. 7 indexed citations
8.
Moreno, Jennette P., et al.. (2023). Validation of the Entrainment Signal Regularity Index and associations with children's changes in BMI. Obesity. 31(3). 642–651. 2 indexed citations
9.
Cheng, Philip, et al.. (2023). 0004 Using Apple Watch to predict circadian phase in night shift workers. SLEEP. 46(Supplement_1). A2–A2. 1 indexed citations
10.
Kalmbach, David A., et al.. (2022). Racial disparities in treatment engagement and outcomes in digital cognitive behavioral therapy for insomnia among pregnant women. Sleep Health. 9(1). 18–25. 16 indexed citations
11.
12.
Walch, Olivia, et al.. (2022). Political Geometry. 6 indexed citations
13.
Huang, Yitong, Philip Cheng, Helen J. Burgess, et al.. (2021). Predicting circadian phase across populations: a comparison of mathematical models and wearable devices. SLEEP. 44(10). 46 indexed citations
14.
Hu, Caiping, et al.. (2021). M1-Type, but Not M4-Type, Melanopsin Ganglion Cells Are Physiologically Tuned to the Central Circadian Clock. Frontiers in Neuroscience. 15. 652996–652996. 6 indexed citations
15.
Huang, Yitong, Olivia Walch, Srijan Sen, et al.. (2021). Distinct Circadian Assessments From Wearable Data Reveal Social Distancing Promoted Internal Desynchrony Between Circadian Markers. Frontiers in Digital Health. 3. 727504–727504. 9 indexed citations
16.
Huang, Yitong, Olivia Walch, Yu Fang, et al.. (2021). A method for characterizing daily physiology from widely used wearables. Cell Reports Methods. 1(4). 100058–100058. 40 indexed citations
17.
Cheng, Philip, Olivia Walch, Yitong Huang, et al.. (2020). Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers. SLEEP. 44(2). 57 indexed citations
18.
Huang, Yitong, et al.. (2020). Optimal adjustment of the human circadian clock in the real world. PLoS Computational Biology. 16(12). e1008445–e1008445. 9 indexed citations
19.
Walch, Olivia. (2020). Putting it all together: Connecting mobile technology to systems biology. Current Opinion in Systems Biology. 22. 16–21. 2 indexed citations
20.
Walch, Olivia, et al.. (2016). An inexpensive smartphone-based eyewear for low-vision individuals. Investigative Ophthalmology & Visual Science. 57(12). 5164–5164.

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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