Jon Valla

1.6k total citations
17 papers, 1.3k citations indexed

About

Jon Valla is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jon Valla has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Physiology, 10 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jon Valla's work include Alzheimer's disease research and treatments (16 papers), Prion Diseases and Protein Misfolding (5 papers) and Mitochondrial Function and Pathology (4 papers). Jon Valla is often cited by papers focused on Alzheimer's disease research and treatments (16 papers), Prion Diseases and Protein Misfolding (5 papers) and Mitochondrial Function and Pathology (4 papers). Jon Valla collaborates with scholars based in United States and Switzerland. Jon Valla's co-authors include Eric M. Reiman, Richard J. Caselli, Lonnie Schneider, Joseph Rogers, Thomas G. Beach, Andrew B. Wolf, Travis Dunckley, Christine M. Hulette, Winnie S. Liang and John C. Morris and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Brain Research and Journal of Neurochemistry.

In The Last Decade

Jon Valla

17 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon Valla United States 14 812 671 248 196 167 17 1.3k
Yasushi Tomidokoro Japan 23 1.1k 1.3× 549 0.8× 281 1.1× 279 1.4× 235 1.4× 44 1.5k
Doris Dea Canada 21 745 0.9× 514 0.8× 228 0.9× 207 1.1× 104 0.6× 35 1.3k
Nicholas F. Fitz United States 25 766 0.9× 750 1.1× 283 1.1× 438 2.2× 74 0.4× 39 1.8k
Kensaku Kasuga Japan 19 572 0.7× 420 0.6× 279 1.1× 203 1.0× 177 1.1× 74 1.2k
Olivia Belbin Spain 18 875 1.1× 550 0.8× 174 0.7× 264 1.3× 263 1.6× 51 1.4k
John F. Ervin United States 17 542 0.7× 384 0.6× 239 1.0× 194 1.0× 117 0.7× 27 1.0k
Teemu Natunen Finland 18 481 0.6× 453 0.7× 168 0.7× 215 1.1× 99 0.6× 44 1.1k
Steven G. Younkin United States 12 1.0k 1.3× 616 0.9× 260 1.0× 208 1.1× 207 1.2× 14 1.4k
Joel B. Schachter United States 24 783 1.0× 860 1.3× 461 1.9× 185 0.9× 134 0.8× 35 2.0k
Marianne Hallupp Australia 17 727 0.9× 675 1.0× 303 1.2× 237 1.2× 129 0.8× 25 1.3k

Countries citing papers authored by Jon Valla

Since Specialization
Citations

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

Fields of papers citing papers by Jon Valla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon Valla

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

All Works

17 of 17 papers shown
1.
Perkins, Michelle, Andrew B. Wolf, Aman Saini, et al.. (2016). Altered Energy Metabolism Pathways in the Posterior Cingulate in Young Adult Apolipoprotein E ɛ4 Carriers. Journal of Alzheimer s Disease. 53(1). 95–106. 57 indexed citations
2.
Wolf, Andrew B., Jon Valla, Guojun Bu, et al.. (2013). Apolipoprotein E as a β-amyloid-independent factor in Alzheimer’s disease. Alzheimer s Research & Therapy. 5(5). 38–38. 42 indexed citations
3.
Kasturirangan, Srinath, Philip Schulz, Shanta Boddapati, et al.. (2013). Isolation and characterization of antibody fragments selective for specific protein morphologies from nanogram antigen samples. Biotechnology Progress. 29(2). 463–471. 20 indexed citations
4.
Wolf, Andrew B., Richard J. Caselli, Eric M. Reiman, & Jon Valla. (2012). APOE and neuroenergetics: an emerging paradigm in Alzheimer's disease. Neurobiology of Aging. 34(4). 1007–1017. 59 indexed citations
5.
Wolf, Andrew B., B. Blair Braden, Heather A. Bimonte‐Nelson, et al.. (2012). Broad-Based Nutritional Supplementation in 3xTg Mice Corrects Mitochondrial Function and Indicates Sex-Specificity in Response to Alzheimer's Disease Intervention. Journal of Alzheimer s Disease. 32(1). 217–232. 12 indexed citations
6.
Hunter, Jesse M., William J. Bowers, Chera L. Maarouf, et al.. (2011). Biochemical and Morphological Characterization of the AβPP/PS/Tau Triple Transgenic Mouse Model and Its Relevance to Sporadic Alzheimer's Disease. Journal of Alzheimer s Disease. 27(2). 361–376. 13 indexed citations
7.
8.
Valla, Jon, R. Yaari, Andrew B. Wolf, et al.. (2010). Reduced Posterior Cingulate Mitochondrial Activity in Expired Young Adult Carriers of the APOE ε4 Allele, the Major Late-Onset Alzheimer's Susceptibility Gene. Journal of Alzheimer s Disease. 22(1). 307–313. 132 indexed citations
9.
Valla, Jon, F. Gonzalez‐Lima, & Eric M. Reiman. (2008). FDG autoradiography reveals developmental and pathological effects of mutant amyloid in PDAPP transgenic mice. International Journal of Developmental Neuroscience. 26(3-4). 253–258. 28 indexed citations
10.
Liang, Winnie S., Eric M. Reiman, Jon Valla, et al.. (2008). Alzheimer's disease is associated with reduced expression of energy metabolism genes in posterior cingulate neurons. Proceedings of the National Academy of Sciences. 105(11). 4441–4446. 475 indexed citations
11.
Valla, Jon, et al.. (2007). Quantitative Cytochrome Oxidase Histochemistry: Applications in Human Alzheimer's Disease and Animal Models. Journal of Histotechnology. 30(4). 235–247. 10 indexed citations
12.
Valla, Jon, et al.. (2007). Quantitative Cytochrome Oxidase Histochemistry: Applications in Human Alzheimer's Disease and Animal Models. Journal of Histotechnology. 30(4). 235–247. 2 indexed citations
13.
Valla, Jon, Lonnie Schneider, Tracy L. Niedzielko, et al.. (2006). Impaired platelet mitochondrial activity in Alzheimer’s disease and mild cognitive impairment. Mitochondrion. 6(6). 323–330. 136 indexed citations
14.
Coon, Keith D., Jon Valla, Lonnie Schneider, et al.. (2006). Quantitation of heteroplasmy of mtDNA sequence variants identified in a population of AD patients and controls by array-based resequencing. Mitochondrion. 6(4). 194–210. 39 indexed citations
15.
Valla, Jon, Lonnie Schneider, F. Gonzalez‐Lima, & Eric M. Reiman. (2006). Nonprogressive transgene-related callosal and hippocampal changes in PDAPP mice. Neuroreport. 17(8). 829–832. 16 indexed citations
16.
Valla, Jon, Lonnie Schneider, & Eric M. Reiman. (2006). Age- and transgene-related changes in regional cerebral metabolism in PSAPP mice. Brain Research. 1116(1). 194–200. 34 indexed citations
17.
Liang, Zhe, et al.. (2002). Effects of estrogen treatment on glutamate uptake in cultured human astrocytes derived from cortex of Alzheimer's disease patients. Journal of Neurochemistry. 80(5). 807–814. 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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