Andrei G. Vlassenko

5.6k total citations · 1 hit paper
53 papers, 3.3k citations indexed

About

Andrei G. Vlassenko is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Andrei G. Vlassenko has authored 53 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Cognitive Neuroscience and 18 papers in Physiology. Recurrent topics in Andrei G. Vlassenko's work include Functional Brain Connectivity Studies (19 papers), Advanced MRI Techniques and Applications (18 papers) and Alzheimer's disease research and treatments (15 papers). Andrei G. Vlassenko is often cited by papers focused on Functional Brain Connectivity Studies (19 papers), Advanced MRI Techniques and Applications (18 papers) and Alzheimer's disease research and treatments (15 papers). Andrei G. Vlassenko collaborates with scholars based in United States, Italy and Bulgaria. Andrei G. Vlassenko's co-authors include Marcus E. Raichle, Mark A. Mintun, Abraham Z. Snyder, John C. Morris, Tammie L.S. Benzinger, Melissa M. Rundle, Sanjeev Vaishnavi, Lars E. Couture, Yi Su and Tyler Blazey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Andrei G. Vlassenko

52 papers receiving 3.2k citations

Hit Papers

Regional aerobic glycolysis in the human brain 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Andrei G. Vlassenko
Bradley T. Christian United States
Michael Hong United States
Wai Hon Tsui United States
Mika Naganawa United States
Bradley T. Christian United States
Andrei G. Vlassenko
Citations per year, relative to Andrei G. Vlassenko Andrei G. Vlassenko (= 1×) peers Bradley T. Christian

Countries citing papers authored by Andrei G. Vlassenko

Since Specialization
Citations

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

Fields of papers citing papers by Andrei G. Vlassenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrei G. Vlassenko. 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 Andrei G. Vlassenko. The network helps show where Andrei G. Vlassenko may publish in the future.

Co-authorship network of co-authors of Andrei G. Vlassenko

This figure shows the co-authorship network connecting the top 25 collaborators of Andrei G. Vlassenko. A scholar is included among the top collaborators of Andrei G. Vlassenko 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 Andrei G. Vlassenko. Andrei G. Vlassenko 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.
Snyder, Abraham Z., Manu S. Goyal, Timothy O. Laumann, et al.. (2025). Aging and the Spectral Properties of Brain Hemodynamics. Advanced Science. 12(37). e17644–e17644.
2.
Blazey, Tyler, Andrei G. Vlassenko, Manu S. Goyal, et al.. (2025). Spatial distribution of hyperpolarized [1-13C]pyruvate MRI and metabolic PET in the human brain. Imaging Neuroscience. 3. 1 indexed citations
3.
Bettinelli, Andrea, Tommaso Volpi, Manu S. Goyal, et al.. (2024). EMATA: a toolbox for the automatic extraction and modeling of arterial inputs for tracer kinetic analysis in [18F]FDG brain studies. EJNMMI Physics. 11(1). 105–105. 1 indexed citations
4.
Volpi, Tommaso, John J. Lee, Andrei G. Vlassenko, et al.. (2024). Individual-level metabolic connectivity from dynamic [18F]FDG PET reveals glioma-induced impairments in brain architecture and offers novel insights beyond the SUVR clinical standard. European Journal of Nuclear Medicine and Molecular Imaging. 52(3). 836–850. 1 indexed citations
5.
Volpi, Tommaso, Tony J. Durbin, Maurizio Corbetta, et al.. (2023). A new framework for metabolic connectivity mapping using bolus [ 18 F]FDG PET and kinetic modeling. Journal of Cerebral Blood Flow & Metabolism. 43(11). 1905–1918. 9 indexed citations
6.
Brier, Matthew R., Tyler Blazey, Marcus E. Raichle, et al.. (2022). Increased white matter glycolysis in humans with cerebral small vessel disease. Nature Aging. 2(11). 991–999. 7 indexed citations
7.
Flores, Shaney, Charles D. Chen, Yi Su, et al.. (2022). Investigating Tau and Amyloid Tracer Skull Binding in Studies of Alzheimer Disease. Journal of Nuclear Medicine. 64(2). 287–293. 12 indexed citations
8.
Goyal, Manu S., Tyler Blazey, Yi Su, et al.. (2019). Persistent metabolic youth in the aging female brain. Proceedings of the National Academy of Sciences. 116(8). 3251–3255. 108 indexed citations
9.
Vlassenko, Andrei G., Brian A. Gordon, Manu S. Goyal, et al.. (2018). Aerobic glycolysis and tau deposition in preclinical Alzheimer's disease. Neurobiology of Aging. 67. 95–98. 72 indexed citations
10.
Su, Yi, Shaney Flores, Russ C. Hornbeck, et al.. (2018). Utilizing the Centiloid scale in cross-sectional and longitudinal PiB PET studies. NeuroImage Clinical. 19. 406–416. 71 indexed citations
11.
Иллариошкин, С. Н., Andrei G. Vlassenko, & E. Yu. Fedotova. (2017). Current means for identifying the latent stage of a neurodegenerative process. SHILAP Revista de lepidopterología. 6 indexed citations
12.
Goyal, Manu S., Andrei G. Vlassenko, Tyler Blazey, et al.. (2017). Loss of Brain Aerobic Glycolysis in Normal Human Aging. Cell Metabolism. 26(2). 353–360.e3. 212 indexed citations
13.
Zhao, Yue, Marcus E. Raichle, Jie Wen, et al.. (2016). In vivo detection of microstructural correlates of brain pathology in preclinical and early Alzheimer Disease with magnetic resonance imaging. NeuroImage. 148. 296–304. 48 indexed citations
14.
Vlassenko, Andrei G., Jonathan McConathy, Lars E. Couture, et al.. (2015). Aerobic Glycolysis as a Marker of Tumor Aggressiveness: Preliminary Data in High Grade Human Brain Tumors. Disease Markers. 2015. 1–11. 23 indexed citations
15.
Brier, Matthew R., John E. McCarthy, Tammie L.S. Benzinger, et al.. (2015). Local and distributed PiB accumulation associated with development of preclinical Alzheimer's disease. Neurobiology of Aging. 38. 104–111. 10 indexed citations
16.
Su, Yi, Gina D’Angelo, Andrei G. Vlassenko, et al.. (2013). Quantitative Analysis of PiB-PET with FreeSurfer ROIs. PLoS ONE. 8(11). e73377–e73377. 152 indexed citations
17.
Piccirillo, Jay F., Dorina Kallogjeri, Joyce Nicklaus, et al.. (2013). Low-Frequency Repetitive Transcranial Magnetic Stimulation to the Temporoparietal Junction for Tinnitus. JAMA Otolaryngology–Head & Neck Surgery. 139(4). 388–388. 33 indexed citations
18.
Vlassenko, Andrei G., Tammie L.S. Benzinger, & John C. Morris. (2011). PET amyloid-beta imaging in preclinical Alzheimer's disease. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1822(3). 370–379. 126 indexed citations
19.
Piccirillo, Jay F., Keith S. Garcia, Joyce Nicklaus, et al.. (2011). Low-Frequency Repetitive Transcranial Magnetic Stimulation to the Temporoparietal Junction for Tinnitus. Archives of Otolaryngology - Head and Neck Surgery. 137(3). 221–221. 47 indexed citations
20.
Mintun, Mark A., Yvette I. Sheline, Stephen M. Moerlein, et al.. (2003). Decreased hippocampal 5-HT2A receptor binding in major depressive disorder: in vivo measurement with [18F]altanserin positron emission tomography. Biological Psychiatry. 55(3). 217–224. 121 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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