Tom N. Grammatopoulos

1.3k total citations
26 papers, 1.1k citations indexed

About

Tom N. Grammatopoulos is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tom N. Grammatopoulos has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 14 papers in Molecular Biology and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tom N. Grammatopoulos's work include Nerve injury and regeneration (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Receptor Mechanisms and Signaling (7 papers). Tom N. Grammatopoulos is often cited by papers focused on Nerve injury and regeneration (8 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Receptor Mechanisms and Signaling (7 papers). Tom N. Grammatopoulos collaborates with scholars based in United States, Germany and Netherlands. Tom N. Grammatopoulos's co-authors include W. Michael Zawada, James A. Weyhenmeyer, Susan Jones, Bradley T. Hyman, Tiago F. Outeiro, David G. Standaert, Peter T. Lansbury, Pamela J. McLean, Zhihua Liu and Ross A. Fredenburg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Tom N. Grammatopoulos

26 papers receiving 1.0k citations

Peers

Tom N. Grammatopoulos
Tom N. Grammatopoulos
Citations per year, relative to Tom N. Grammatopoulos Tom N. Grammatopoulos (= 1×) peers Jorge Gonçalves

Countries citing papers authored by Tom N. Grammatopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Tom N. Grammatopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom N. Grammatopoulos. 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 Tom N. Grammatopoulos. The network helps show where Tom N. Grammatopoulos may publish in the future.

Co-authorship network of co-authors of Tom N. Grammatopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Tom N. Grammatopoulos. A scholar is included among the top collaborators of Tom N. Grammatopoulos 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 Tom N. Grammatopoulos. Tom N. Grammatopoulos 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.
Pereira, D., Luciana Summo, Anne Konkel, et al.. (2023). Identification of peripheral vascular function measures and circulating biomarkers of mitochondrial function in patients with mitochondrial disease. Clinical and Translational Science. 16(7). 1258–1271. 4 indexed citations
2.
Fortin, Marie, Andrew S. LaCroix, Tom N. Grammatopoulos, et al.. (2023). Lower cardiotoxicity of CPX-351 relative to daunorubicin plus cytarabine free-drug combination in hiPSC-derived cardiomyocytes in vitro. Scientific Reports. 13(1). 21054–21054. 8 indexed citations
3.
Chandra, Sidhanth, et al.. (2022). Farnesyltransferase inhibitor LNK-754 attenuates axonal dystrophy and reduces amyloid pathology in mice. Molecular Neurodegeneration. 17(1). 54–54. 10 indexed citations
4.
Banerjee, Debasree, Tom N. Grammatopoulos, Amy Palmisciano, et al.. (2020). Alternative Splicing of the Cardiac Sodium Channel in Pulmonary Arterial Hypertension. CHEST Journal. 158(2). 735–738. 9 indexed citations
5.
Wani, Willayat Yousuf, Caleb Pitcairn, Tom N. Grammatopoulos, et al.. (2019). Stress-Induced Cellular Clearance Is Mediated by the SNARE Protein ykt6 and Disrupted by α-Synuclein. Neuron. 104(5). 869–884.e11. 47 indexed citations
6.
Nicholas, Dequina, Elizabeth A. Proctor, Blanche C. Ip, et al.. (2017). Advances in the quantification of mitochondrial function in primary human immune cells through extracellular flux analysis. PLoS ONE. 12(2). e0170975–e0170975. 54 indexed citations
7.
Woodhead, Jeffrey L., William J. Brock, Sharin E. Roth, et al.. (2016). Application of a Mechanistic Model to Evaluate Putative Mechanisms of Tolvaptan Drug-Induced Liver Injury and Identify Patient Susceptibility Factors. Toxicological Sciences. 155(1). 61–74. 71 indexed citations
8.
Grammatopoulos, Tom N., Tiago F. Outeiro, Bradley T. Hyman, & David G. Standaert. (2007). Angiotensin II protects against α-synuclein toxicity and reduces protein aggregation in vitro. Biochemical and Biophysical Research Communications. 363(3). 846–851. 23 indexed citations
9.
Grammatopoulos, Tom N., Susan Jones, Brian R. Hoover, et al.. (2007). Angiotensin type 1 receptor antagonist losartan, reduces MPTP-induced degeneration of dopaminergic neurons in substantia nigra. Molecular Neurodegeneration. 2(1). 1–1. 126 indexed citations
10.
Grammatopoulos, Tom N., et al.. (2007). Dopamine Selectively Sensitizes Dopaminergic Neurons to Rotenone-Induced Apoptosis. Neurochemical Research. 33(5). 886–901. 23 indexed citations
11.
Outeiro, Tiago F., Tom N. Grammatopoulos, Allison Amore, et al.. (2007). Pharmacological inhibition of PARP-1 reduces α-synuclein- and MPP+-induced cytotoxicity in Parkinson’s disease in vitro models. Biochemical and Biophysical Research Communications. 357(3). 596–602. 65 indexed citations
12.
Klucken, Jochen, Tiago F. Outeiro, Paul Nguyen, et al.. (2006). Dopaminergic neuron loss and up‐regulation of chaperone protein mRNA induced by targeted over‐expression of alpha‐synuclein in mouse substantia nigra. Journal of Neurochemistry. 100(6). 1449–1457. 151 indexed citations
13.
Grammatopoulos, Tom N., et al.. (2005). Angiotensin II protects cultured midbrain dopaminergic neurons against rotenone-induced cell death. Brain Research. 1045(1-2). 64–71. 33 indexed citations
14.
Miranda, Manuel, Tatiana Sorkina, Tom N. Grammatopoulos, W. Michael Zawada, & Alexander Sorkin. (2004). Multiple Molecular Determinants in the Carboxyl Terminus Regulate Dopamine Transporter Export from Endoplasmic Reticulum. Journal of Biological Chemistry. 279(29). 30760–30770. 54 indexed citations
15.
Moore, Steven A., et al.. (2004). Human angiotensin II type-2 receptor inhibition of insulin-mediated ERK-2 activity via a G-protein coupled signaling pathway. Molecular Brain Research. 124(1). 62–69. 8 indexed citations
17.
Linseman, Daniel A., Tom N. Grammatopoulos, Susan Jones, et al.. (2003). The pesticide rotenone induces caspase‐3‐mediated apoptosis in ventral mesencephalic dopaminergic neurons. Journal of Neurochemistry. 87(4). 914–921. 102 indexed citations
18.
Gao, Jing, Tom N. Grammatopoulos, Paul Ferguson, William R. Schelman, & James A. Weyhenmeyer. (2003). Inhibitory effects of angiotensin on NMDA-induced cytotoxicity in primary neuronal cultures. Brain Research Bulletin. 62(5). 397–403. 19 indexed citations
19.
20.
Cheng, Earl Y., Tom N. Grammatopoulos, Chung Lee, et al.. (1996). Angiotensin II and Basic Fibroblast Growth Factor Induce Neonatal Bladder Stromal Cell Mitogenesis. The Journal of Urology. 593–597. 1 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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