Tom Kasten

4.8k total citations · 2 hit papers
19 papers, 3.3k citations indexed

About

Tom Kasten is a scholar working on Physiology, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Tom Kasten has authored 19 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 11 papers in Molecular Biology and 5 papers in Psychiatry and Mental health. Recurrent topics in Tom Kasten's work include Alzheimer's disease research and treatments (15 papers), Dementia and Cognitive Impairment Research (5 papers) and Bioinformatics and Genomic Networks (3 papers). Tom Kasten is often cited by papers focused on Alzheimer's disease research and treatments (15 papers), Dementia and Cognitive Impairment Research (5 papers) and Bioinformatics and Genomic Networks (3 papers). Tom Kasten collaborates with scholars based in United States, Sweden and Singapore. Tom Kasten's co-authors include Randall J. Bateman, Kwasi G. Mawuenyega, Wendy Sigurdson, Vitaliy Ovod, Kevin E. Yarasheski, John C. Morris, Ling Y. Munsell, David M. Holtzman, Yafei Huang and Bruce W. Patterson and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Tom Kasten

19 papers receiving 3.3k citations

Hit Papers

Decreased Clearance of CNS β-Amyloid in Alzheimer’s Disease 2010 2026 2015 2020 2010 2018 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Kasten United States 15 2.2k 846 765 617 606 19 3.3k
Vitaliy Ovod United States 19 2.9k 1.3× 940 1.1× 950 1.2× 522 0.8× 1.5k 2.4× 26 4.2k
Yong Shen China 35 2.7k 1.2× 1.4k 1.7× 1.3k 1.8× 774 1.3× 521 0.9× 102 5.0k
Mary Beth Finn United States 19 2.9k 1.3× 1.2k 1.4× 1.5k 2.0× 1.1k 1.8× 453 0.7× 23 5.1k
Shannon L. Macauley United States 25 1.9k 0.9× 981 1.2× 535 0.7× 433 0.7× 224 0.4× 49 3.4k
Ottavio V. Vitolo United States 20 1.2k 0.6× 1.2k 1.5× 383 0.5× 1.0k 1.7× 284 0.5× 26 3.3k
Floy R. Stewart United States 19 3.5k 1.6× 1.2k 1.4× 1.6k 2.1× 1.4k 2.3× 672 1.1× 24 5.3k
Etsuro Matsubara Japan 33 2.9k 1.3× 1.7k 2.0× 694 0.9× 735 1.2× 578 1.0× 128 4.4k
Ronald S. Black United States 22 2.4k 1.1× 609 0.7× 715 0.9× 260 0.4× 1.1k 1.7× 46 3.3k
Kristina Mullin United States 20 2.4k 1.1× 1.8k 2.1× 1.0k 1.4× 642 1.0× 628 1.0× 35 4.5k

Countries citing papers authored by Tom Kasten

Since Specialization
Citations

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

Fields of papers citing papers by Tom Kasten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Kasten

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

All Works

19 of 19 papers shown
1.
Sato, Chihiro, Nicolas R. Barthélemy, Kwasi G. Mawuenyega, et al.. (2018). Tau Kinetics in Neurons and the Human Central Nervous System. Neuron. 97(6). 1284–1298.e7. 397 indexed citations breakdown →
2.
Yoon, Hyejin, et al.. (2017). Intra- and Inter-individual Variability of microRNA Levels in Human Cerebrospinal Fluid: Critical Implications for Biomarker Discovery. Scientific Reports. 7(1). 12720–12720. 20 indexed citations
3.
Baker‐Nigh, Alaina, Kwasi G. Mawuenyega, James G. Bollinger, et al.. (2016). Human Central Nervous System (CNS) ApoE Isoforms Are Increased by Age, Differentially Altered by Amyloidosis, and Relative Amounts Reversed in the CNS Compared with Plasma. Journal of Biological Chemistry. 291(53). 27204–27218. 42 indexed citations
4.
Lucey, Brendan P., Kwasi G. Mawuenyega, Bruce W. Patterson, et al.. (2016). Associations Between β-Amyloid Kinetics and the β-Amyloid Diurnal Pattern in the Central Nervous System. JAMA Neurology. 74(2). 207–207. 50 indexed citations
5.
Patterson, Bruce W., Donald L. Elbert, Kwasi G. Mawuenyega, et al.. (2015). Age and amyloid effects on human central nervous system amyloid‐beta kinetics. Annals of Neurology. 78(3). 439–453. 137 indexed citations
6.
Kasten, Tom, Yafei Huang, Tammie L.S. Benzinger, et al.. (2014). Diurnal Patterns of Soluble Amyloid Precursor Protein Metabolites in the Human Central Nervous System. PLoS ONE. 9(3). e89998–e89998. 39 indexed citations
7.
Roberts, Kaleigh F., Donald L. Elbert, Tom Kasten, et al.. (2014). Amyloid‐β efflux from the central nervous system into the plasma. Annals of Neurology. 76(6). 837–844. 203 indexed citations
8.
Wardlaw, Sharon L., Charles Burant, Samuel Klein, et al.. (2014). Continuous 24-Hour Leptin, Proopiomelanocortin, and Amino Acid Measurements in Human Cerebrospinal Fluid: Correlations With Plasma Leptin, Soluble Leptin Receptor, and Amino Acid Levels. The Journal of Clinical Endocrinology & Metabolism. 99(7). 2540–2548. 18 indexed citations
9.
Mawuenyega, Kwasi G., Tom Kasten, Wendy Sigurdson, & Randall J. Bateman. (2013). Amyloid-beta isoform metabolism quantitation by stable isotope-labeled kinetics. Analytical Biochemistry. 440(1). 56–62. 48 indexed citations
10.
Potter, Rachel, Bruce W. Patterson, Donald L. Elbert, et al.. (2013). Increased in Vivo Amyloid-β42 Production, Exchange, and Loss in Presenilin Mutation Carriers. Science Translational Medicine. 5(189). 189ra77–189ra77. 171 indexed citations
11.
Wildsmith, Kristin R., Jacob M. Basak, Bruce W. Patterson, et al.. (2012). Correction: In Vivo Human Apolipoprotein E Isoform Fractional Turnover Rates in the CNS. PLoS ONE. 7(7). 4 indexed citations
12.
Wildsmith, Kristin R., Jacob M. Basak, Bruce W. Patterson, et al.. (2012). In Vivo Human Apolipoprotein E Isoform Fractional Turnover Rates in the CNS. PLoS ONE. 7(6). e38013–e38013. 45 indexed citations
13.
Roh, Jee Hoon, Yafei Huang, Adam W. Bero, et al.. (2012). Disruption of the Sleep-Wake Cycle and Diurnal Fluctuation of β-Amyloid in Mice with Alzheimer’s Disease Pathology. Science Translational Medicine. 4(150). 437 indexed citations
14.
Huang, Yafei, Rachel Potter, Wendy Sigurdson, et al.. (2012). β-Amyloid Dynamics in Human Plasma. Archives of Neurology. 69(12). 1591–1591. 56 indexed citations
15.
Huang, Yafei, Rachel Potter, Wendy Sigurdson, et al.. (2012). β-Amyloid Dynamics in Human Plasma. JAMA Neurology. 1–1. 1 indexed citations
16.
Elbert, Donald L., Bruce W. Patterson, Vitaliy Ovod, et al.. (2011). Reply to: Fractional synthesis and clearance rates for amyloid β. Nature Medicine. 17(10). 1179–1180. 3 indexed citations
17.
Mawuenyega, Kwasi G., Wendy Sigurdson, Vitaliy Ovod, et al.. (2010). Decreased Clearance of CNS β-Amyloid in Alzheimer’s Disease. Science. 330(6012). 1774–1774. 1637 indexed citations breakdown →
18.
Kasten, Tom & George Dunaway. (1993). Fructose 2,6-bisphosphate: Changes during neonatal maturation and aging of rat and potential role in regulation of glucose utilization. Mechanisms of Ageing and Development. 68(1-3). 37–45. 3 indexed citations
19.
Kasten, Tom, et al.. (1983). Purification of homogeneous rat phosphofructokinase isozymes with high specific activities. Biochemical and Biophysical Research Communications. 111(2). 462–469. 30 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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