Jonathan J. Halloran

1.1k total citations
10 papers, 848 citations indexed

About

Jonathan J. Halloran is a scholar working on Molecular Biology, Physiology and Aging. According to data from OpenAlex, Jonathan J. Halloran has authored 10 papers receiving a total of 848 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Aging. Recurrent topics in Jonathan J. Halloran's work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Phosphodiesterase function and regulation (2 papers). Jonathan J. Halloran is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Phosphodiesterase function and regulation (2 papers). Jonathan J. Halloran collaborates with scholars based in United States, Italy and Germany. Jonathan J. Halloran's co-authors include Verónica Galván, Stacy A. Hussong, Raquel R Burbank, Matthew J. Hart, Andrew Dillin, Céline E. Riera, Arlan Richardson, Randy Strong, Natalia Podlutskaya and Steven N. Austad and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and Cell Metabolism.

In The Last Decade

Jonathan J. Halloran

10 papers receiving 844 citations

Peers

Jonathan J. Halloran
Mika Irino Japan
Sharlene Rakoczy United States
Sungjae Yoo South Korea
Wei‐na Cong United States
Yuki Yasumoto Japan
Zhiming Zhang China
Hind Al‐Qassab United Kingdom
Marissa Z. McMackin United States
Hudson Sousa Buck Brazil
Laura García‐Corzo Spain
Mika Irino Japan
Jonathan J. Halloran
Citations per year, relative to Jonathan J. Halloran Jonathan J. Halloran (= 1×) peers Mika Irino

Countries citing papers authored by Jonathan J. Halloran

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan J. Halloran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan J. Halloran. 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 Jonathan J. Halloran. The network helps show where Jonathan J. Halloran may publish in the future.

Co-authorship network of co-authors of Jonathan J. Halloran

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

All Works

10 of 10 papers shown
1.
Halloran, Jonathan J., et al.. (2020). Monoclonal therapy against calcitonin gene-related peptide lowers hyperglycemia and adiposity in type 2 diabetes mouse models. SHILAP Revista de lepidopterología. 8. 100060–100060. 15 indexed citations
2.
Simic, Milos, Erica A. Moehle, Robert T. Schinzel, et al.. (2019). Transient activation of the UPR ER is an essential step in the acquisition of pluripotency during reprogramming. Science Advances. 5(4). eaaw0025–eaaw0025. 30 indexed citations
3.
Skike, Candice E. Van, Ai‐Ling Lin, Raquel R Burbank, et al.. (2019). mTOR drives cerebrovascular, synaptic, and cognitive dysfunction in normative aging. Aging Cell. 19(1). e13057–e13057. 62 indexed citations
4.
Riera, Céline E., Eva Tsaousidou, Jonathan J. Halloran, et al.. (2017). The Sense of Smell Impacts Metabolic Health and Obesity. Cell Metabolism. 26(1). 198–211.e5. 132 indexed citations
5.
Riera, Céline E., Mark O. Huising, Mathias Leblanc, et al.. (2014). TRPV1 Pain Receptors Regulate Longevity and Metabolism by Neuropeptide Signaling. Cell. 157(5). 1023–1036. 161 indexed citations
6.
Taylor, Alexander B., et al.. (2014). Multiple polymer architectures of human polyhomeotic homolog 3 sterile alpha motif. Proteins Structure Function and Bioinformatics. 82(10). 2823–2830. 8 indexed citations
7.
Lin, Ai-Ling, Daniel Pulliam, Sathyaseelan S. Deepa, et al.. (2013). Decreased in vitro Mitochondrial Function is Associated with Enhanced Brain Metabolism, Blood Flow, and Memory in Surfl-Deficient Mice. Journal of Cerebral Blood Flow & Metabolism. 33(10). 1605–1611. 28 indexed citations
8.
Lin, Ai-Ling, Wei Zheng, Jonathan J. Halloran, et al.. (2013). Chronic Rapamycin Restores Brain Vascular Integrity and Function Through NO Synthase Activation and Improves Memory in Symptomatic Mice Modeling Alzheimer’s Disease. Journal of Cerebral Blood Flow & Metabolism. 33(9). 1412–1421. 170 indexed citations
9.
Halloran, Jonathan J., Stacy A. Hussong, Raquel R Burbank, et al.. (2012). Chronic inhibition of mammalian target of rapamycin by rapamycin modulates cognitive and non-cognitive components of behavior throughout lifespan in mice. Neuroscience. 223. 102–113. 168 indexed citations
10.
Pierce, Anson, Natalia Podlutskaya, Jonathan J. Halloran, et al.. (2012). Over‐expression of heat shock factor 1 phenocopies the effect of chronic inhibition of TOR by rapamycin and is sufficient to ameliorate Alzheimer's‐like deficits in mice modeling the disease. Journal of Neurochemistry. 124(6). 880–893. 74 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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