Heather C. Rice

1.3k total citations
22 papers, 964 citations indexed

About

Heather C. Rice is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Heather C. Rice has authored 22 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Heather C. Rice's work include Alzheimer's disease research and treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Heather C. Rice is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Heather C. Rice collaborates with scholars based in United States, Belgium and United Kingdom. Heather C. Rice's co-authors include Tracy L. Young‐Pearse, Dennis J. Selkoe, Taehwan Shin, Priya Srikanth, Christina Muratore, Dana G. Callahan, Dominic M. Walsh, Joris de Wit, Bart De Strooper and Jeffrey N. Savas and has published in prestigious journals such as Science, Neuron and Development.

In The Last Decade

Heather C. Rice

21 papers receiving 955 citations

Peers

Heather C. Rice

PHYSI

CMN

NEURO

Tara E. Tracy United States

Israel Hernández United States

Hye-Sun Kim South Korea

Charles Arber United Kingdom

Julia TCW United States

Soong Ho Kim United States

Justin Klee United States

Yaisa Andrews‐Zwilling United States

Yoori Choi South Korea

Tara E. Tracy United States

Heather C. Rice

439 ×0.9

567 ×1.2

PHYSI

462 ×1.4

CMN

253 ×1.5

NEURO

88 ×0.7

Citations per year, relative to Heather C. Rice Heather C. Rice (= 1×) peers Tara E. Tracy

Countries citing papers authored by Heather C. Rice

Since Specialization

Citations

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

Fields of papers citing papers by Heather C. Rice

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather C. Rice. 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 Heather C. Rice. The network helps show where Heather C. Rice may publish in the future.

Co-authorship network of co-authors of Heather C. Rice

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

All Works

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20 of 20 papers shown

Ocañas, Sarah R., et al.. (2025). Protocol to sequentially isolate mouse oligodendrocytes, microglia, endothelial cells, astrocytes, and neurons via magnetic cell sorting. STAR Protocols. 6(4). 104139–104139.

Mann, Shivani N., Agnieszka Borowik, Albert Batushansky, et al.. (2024). 17α-Estradiol alleviates high-fat diet-induced inflammatory and metabolic dysfunction in skeletal muscle of male and female mice. American Journal of Physiology-Endocrinology and Metabolism. 326(3). E226–E244. 5 indexed citations

Hense, Jéssica D., Driele N. Garcia, Samim Ali Mondal, et al.. (2024). MASLD does not affect fertility and senolytics fail to prevent MASLD progression in male mice. Scientific Reports. 14(1). 17332–17332. 4 indexed citations

Porter, Hunter L., Michael B. Stout, Heather C. Rice, et al.. (2023). Microglial MHC-I induction with aging and Alzheimer’s is conserved in mouse models and humans. GeroScience. 45(5). 3019–3043. 21 indexed citations

Dey, Anindya, Shailendra Kumar Dhar Dwivedi, Tamás Kiss, et al.. (2023). A role for the cystathionine-β-synthase /H2S axis in astrocyte dysfunction in the aging brain. Redox Biology. 68. 102958–102958. 15 indexed citations

Ding, Yingjun, Junxiong Chen, Shuping Li, et al.. (2023). EWI2 and its relatives in Tetraspanin-enriched membrane domains regulate malignancy. Oncogene. 42(12). 861–868. 4 indexed citations

Logan, Sreemathi, Daniel B. Owen, Kenneth L. Jones, et al.. (2023). Cognitive heterogeneity reveals molecular signatures of age-related impairment. PNAS Nexus. 2(4). pgad101–pgad101. 5 indexed citations

Xu, Hongyang, Shylesh Bhaskaran, Katarzyna M. Piekarz, et al.. (2022). Age Related Changes in Muscle Mass and Force Generation in the Triple Transgenic (3xTgAD) Mouse Model of Alzheimer’s Disease. Frontiers in Aging Neuroscience. 14. 876816–876816. 14 indexed citations

Liu, Tengyuan, Tingting Zhang, Heather C. Rice, et al.. (2021). The amyloid precursor protein is a conserved Wnt receptor. eLife. 10. 24 indexed citations

10.

Rice, Heather C., Katrien Horré, Tracy L. Young‐Pearse, et al.. (2020). Contribution of GABAergic interneurons to amyloid-β plaque pathology in an APP knock-in mouse model. Molecular Neurodegeneration. 15(1). 3–3. 35 indexed citations

11.

Rice, Heather C., An Schreurs, Samuel Frère, et al.. (2019). Secreted amyloid-β precursor protein functions as a GABA _B R1a ligand to modulate synaptic transmission. Science. 363(6423). 206 indexed citations

12.

Muratore, Christina, Mei-Chen Liao, Marty A. Fernandez, et al.. (2017). Cell-type Dependent Alzheimer's Disease Phenotypes: Probing the Biology of Selective Neuronal Vulnerability. Stem Cell Reports. 9(6). 1868–1884. 60 indexed citations

13.

Rice, Heather C., Keimpe Wierda, Samuel Frère, et al.. (2017). [O1–07–06]: SOLUBLE AMYLOID PRECURSOR PROTEIN IS AN ISOFORM‐SPECIFIC GABA(B) RECEPTOR LIGAND THAT SUPPRESSES SYNAPTIC RELEASE PROBABILITY. Alzheimer s & Dementia. 13(7S_Part_4). 1 indexed citations

14.

Savas, Jeffrey N., Luís F. Ribeiro, Keimpe Wierda, et al.. (2015). The Sorting Receptor SorCS1 Regulates Trafficking of Neurexin and AMPA Receptors. Neuron. 87(4). 764–780. 60 indexed citations

15.

Muratore, Christina, Heather C. Rice, Priya Srikanth, et al.. (2014). The familial Alzheimer's disease APPV717I mutation alters APP processing and Tau expression in iPSC-derived neurons. Human Molecular Genetics. 23(13). 3523–3536. 288 indexed citations

16.

Rice, Heather C., Tracy L. Young‐Pearse, & Dennis J. Selkoe. (2013). Systematic Evaluation of Candidate Ligands Regulating Ectodomain Shedding of Amyloid Precursor Protein. Biochemistry. 52(19). 3264–3277. 40 indexed citations

17.

Rice, Heather C., Tracy L. Young‐Pearse, & Dennis J. Selkoe. (2013). P1–088: Systematic evaluation of candidate ligands regulating ectodomain shedding of the amyloid precursor protein. Alzheimer s & Dementia. 9(4S_Part_4). 3 indexed citations

18.

Rice, Heather C., et al.. (2010). <em>In utero</em> Electroporation followed by Primary Neuronal Culture for Studying Gene Function in Subset of Cortical Neurons. Journal of Visualized Experiments. 15 indexed citations

19.

Zhao, Tao, et al.. (2008). A Drosophila Gain-of-Function Screen for Candidate Genes Involved in Steroid-Dependent Neuroendocrine Cell Remodeling. Genetics. 178(2). 883–901. 36 indexed citations

20.

Hensley, Kenneth, J. R. Hunter, Molina Mhatre, et al.. (2006). Primary glia expressing the G93A-SOD1 mutation present a neuroinflammatory phenotype and provide a cellular system for studies of glial inflammation. Journal of Neuroinflammation. 3(1). 2–2. 82 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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