Jason Fleischer

2.6k total citations · 4 hit papers
17 papers, 1.8k citations indexed

About

Jason Fleischer is a scholar working on Cognitive Neuroscience, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Jason Fleischer has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 6 papers in Physiology and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Jason Fleischer's work include Dietary Effects on Health (6 papers), Memory and Neural Mechanisms (6 papers) and Circadian rhythm and melatonin (5 papers). Jason Fleischer is often cited by papers focused on Dietary Effects on Health (6 papers), Memory and Neural Mechanisms (6 papers) and Circadian rhythm and melatonin (5 papers). Jason Fleischer collaborates with scholars based in United States and Australia. Jason Fleischer's co-authors include Satchidananda Panda, Emily N. C. Manoogian, Saket Navlakha, Pam R. Taub, Hannah Lo, Adena Zadourian, Michael J. Wilkinson, Xinran Wang, Gary Wittert and Leonie K. Heilbronn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Annals of Internal Medicine and PLoS ONE.

In The Last Decade

Jason Fleischer

17 papers receiving 1.7k citations

Hit Papers

Ten-Hour Time-Restricted Eating Reduces Weight, Blood Pre... 2019 2026 2021 2023 2019 2019 2020 2022 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Fleischer United States 13 1.3k 873 255 179 168 17 1.8k
Kari A. Mäkelä Finland 18 462 0.4× 276 0.3× 127 0.5× 213 1.2× 241 1.4× 55 1.3k
Christian Hubold Germany 13 258 0.2× 132 0.2× 48 0.2× 78 0.4× 90 0.5× 28 693
María‐Ángeles Bonmatí‐Carrión Spain 13 145 0.1× 347 0.4× 209 0.8× 216 1.2× 65 0.4× 25 650
Bernd Johannes Germany 18 420 0.3× 47 0.1× 100 0.4× 34 0.2× 165 1.0× 60 1.1k
Konstantinos Kalafatakis Greece 15 119 0.1× 129 0.1× 46 0.2× 128 0.7× 142 0.8× 45 877
Cathalijn H. C. Leenaars Netherlands 16 93 0.1× 124 0.1× 110 0.4× 185 1.0× 135 0.8× 52 795
Sumio Murase Japan 19 119 0.1× 203 0.2× 50 0.2× 290 1.6× 465 2.8× 41 1.6k
Henry S. Koopmans Canada 18 394 0.3× 348 0.4× 20 0.1× 183 1.0× 78 0.5× 52 1.1k
Paul Fredrickson United States 22 249 0.2× 181 0.2× 143 0.6× 257 1.4× 372 2.2× 41 1.1k
George D. Vavougios Greece 17 290 0.2× 141 0.2× 85 0.3× 73 0.4× 120 0.7× 114 953

Countries citing papers authored by Jason Fleischer

Since Specialization
Citations

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

Fields of papers citing papers by Jason Fleischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Fleischer

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Fleischer. A scholar is included among the top collaborators of Jason Fleischer 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 Jason Fleischer. Jason Fleischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Manoogian, Emily N. C., Michael J. Wilkinson, Jason Fleischer, et al.. (2024). Time-Restricted Eating in Adults With Metabolic Syndrome. Annals of Internal Medicine. 177(11). 1462–1470. 16 indexed citations
2.
Manoogian, Emily N. C., Adena Zadourian, Hannah Lo, et al.. (2022). Feasibility of time-restricted eating and impacts on cardiometabolic health in 24-h shift workers: The Healthy Heroes randomized control trial. Cell Metabolism. 34(10). 1442–1456.e7. 111 indexed citations breakdown →
3.
Fleischer, Jason, Sai Krupa Das, Manjushri Bhapkar, Emily N. C. Manoogian, & Satchidananda Panda. (2022). Associations between the timing of eating and weight-loss in calorically restricted healthy adults: Findings from the CALERIE study. Experimental Gerontology. 165. 111837–111837. 18 indexed citations
4.
Dunster, Gideon P., Jason Fleischer, Satchidananda Panda, et al.. (2022). Daytime light exposure is a strong predictor of seasonal variation in sleep and circadian timing of university students. Journal of Pineal Research. 74(2). e12843–e12843. 24 indexed citations
6.
Chow, Lisa S., Emily N. C. Manoogian, Alison Alvear, et al.. (2020). Time‐Restricted Eating Effects on Body Composition and Metabolic Measures in Humans who are Overweight: A Feasibility Study. Obesity. 28(5). 860–869. 259 indexed citations breakdown →
7.
Wilkinson, Michael J., Emily N. C. Manoogian, Adena Zadourian, et al.. (2019). Ten-Hour Time-Restricted Eating Reduces Weight, Blood Pressure, and Atherogenic Lipids in Patients with Metabolic Syndrome. Cell Metabolism. 31(1). 92–104.e5. 612 indexed citations breakdown →
8.
Hutchison, Amy T., Prashant Regmi, Emily N. C. Manoogian, et al.. (2019). Time‐Restricted Feeding Improves Glucose Tolerance in Men at Risk for Type 2 Diabetes: A Randomized Crossover Trial. Obesity. 27(5). 724–732. 301 indexed citations breakdown →
9.
Fleischer, Jason, Roberta Schulte, Swati Tyagi, et al.. (2018). Predicting age from the transcriptome of human dermal fibroblasts. Genome biology. 19(1). 221–221. 147 indexed citations
10.
Dunster, Gideon P., et al.. (2018). Sleepmore in Seattle: Later school start times are associated with more sleep and better performance in high school students. Science Advances. 4(12). eaau6200–eaau6200. 117 indexed citations
11.
McKinstry, Jeffrey L., Jason Fleischer, Yanqing Chen, W. Einar Gall, & Gerald M. Edelman. (2016). Imagery May Arise from Associations Formed through Sensory Experience: A Network of Spiking Neurons Controlling a Robot Learns Visual Sequences in Order to Perform a Mental Rotation Task. PLoS ONE. 11(9). e0162155–e0162155. 6 indexed citations
12.
Fleischer, Jason & Gerald M. Edelman. (2009). Brain-based devices. IEEE Robotics & Automation Magazine. 16(3). 33–41. 12 indexed citations
13.
Fleischer, Jason & Jeffrey L. Krichmar. (2007). SENSORY INTEGRATION AND REMAPPING IN A MODEL OF THE MEDIAL TEMPORAL LOBE DURING MAZE NAVIGATION BY A BRAIN-BASED DEVICE. Journal of Integrative Neuroscience. 6(3). 403–431. 13 indexed citations
14.
Nitz, Douglas A., William J. Kargo, & Jason Fleischer. (2007). Dopamine signaling and the distal reward problem. Neuroreport. 18(17). 1833–1836. 7 indexed citations
15.
Fleischer, Jason, Joseph A. Gally, Gerald M. Edelman, & Jeffrey L. Krichmar. (2007). Retrospective and prospective responses arising in a modeled hippocampus during maze navigation by a brain-based device. Proceedings of the National Academy of Sciences. 104(9). 3556–3561. 33 indexed citations
16.
Fleischer, Jason, et al.. (2006). A neurally controlled robot competes and cooperates with humans in Segway soccer. 15. 3673–3678. 12 indexed citations
17.
Krichmar, Jeffrey L., Anil K. Seth, Douglas A. Nitz, Jason Fleischer, & Gerald M. Edelman. (2005). Spatial Navigation and Causal Analysis in a Brain-Based Device Modeling Cortical–Hippocampal Interactions. Neuroinformatics. 3(3). 197–222. 64 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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