J. Valla

654 total citations
11 papers, 495 citations indexed

About

J. Valla is a scholar working on Physiology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, J. Valla has authored 11 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 3 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in J. Valla's work include Alzheimer's disease research and treatments (4 papers), Medical Imaging Techniques and Applications (3 papers) and Mitochondrial Function and Pathology (2 papers). J. Valla is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Medical Imaging Techniques and Applications (3 papers) and Mitochondrial Function and Pathology (2 papers). J. Valla collaborates with scholars based in United States, France and Mexico. J. Valla's co-authors include F. Gonzalez‐Lima, Jason D. Berndt, Eric M. Reiman, Dora Games, Thomas G. Beach, Jacquelyn McDonald, Lori Cuyugan, Jonathan Adkins, Shobana Sekar and Geidy E. Serrano and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Brain Research.

In The Last Decade

J. Valla

11 papers receiving 479 citations

Peers

J. Valla

PHYSI

MB

NEURO

CMN

CN

Norihiko Iwamoto Japan

Guiqiong He China

Tara M. Weitz United States

Shi-Jie Liu United States

Jerzy Węgiel United States

Suzan Aschmies United States

Yuken Fukutani Japan

F Béal United States

Laura G. Bresciani Italy

Erik G. Gentry United States

Norihiko Iwamoto Japan

J. Valla

267 ×1.0

PHYSI

172 ×0.8

MB

118 ×1.1

NEURO

127 ×1.2

CMN

73 ×1.2

CN

Citations per year, relative to J. Valla J. Valla (= 1×) peers Norihiko Iwamoto

Countries citing papers authored by J. Valla

Since Specialization

Citations

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

Fields of papers citing papers by J. Valla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Valla

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

All Works

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11 of 11 papers shown

1.

Sekar, Shobana, Jacquelyn McDonald, Lori Cuyugan, et al.. (2014). Alzheimer's disease is associated with altered expression of genes involved in immune response and mitochondrial processes in astrocytes. Neurobiology of Aging. 36(2). 583–591. 152 indexed citations

2.

Lin, Lan, Kewei Chen, J. Valla, et al.. (2005). MRI Template and Atlas Toolbox for the C57BL/6J Mouse Brain. 6–8. 2 indexed citations

3.

He, Tao, Kewei Chen, Eric M. Reiman, et al.. (2004). P2-192 The computation of mannitol-induced changes in mouse brain volume using sequential MRI and an iterative principal component analysis. Neurobiology of Aging. 25. S283–S283. 2 indexed citations

4.

Chen, Kewei, Gene E. Alexander, Jiping He, et al.. (2003). Construction of mouse brain MRI templates using SPM 99. IFAC Proceedings Volumes. 36(15). 113–118. 5 indexed citations

5.

Valla, J., Kewei Chen, Jason D. Berndt, et al.. (2002). Effects of Image Resolution on Autoradiographic Measurements of Posterior Cingulate Activity in PDAPP Mice: Implications for Functional Brain Imaging Studies of Transgenic Mouse Models of Alzheimer's Disease. NeuroImage. 16(1). 1–6. 24 indexed citations

6.

Gonzalez‐Lima, F., Jason D. Berndt, J. Valla, Dora Games, & Eric M. Reiman. (2001). Reduced corpus callosum, fornix and hippocampus in PDAPP transgenic mouse model of Alzheimer's disease. Neuroreport. 12(11). 2375–2379. 54 indexed citations

7.

Valla, J., Jason D. Berndt, & F. Gonzalez‐Lima. (2001). Energy Hypometabolism in Posterior Cingulate Cortex of Alzheimer's Patients: Superficial Laminar Cytochrome Oxidase Associated with Disease Duration. Journal of Neuroscience. 21(13). 4923–4930. 204 indexed citations

8.

Valla, J., J. Humm, Timothy Schallert, & F. Gonzalez‐Lima. (1999). Metabolic activation of the subependymal zone after cortical injury. Neuroreport. 10(13). 2731–2734. 7 indexed citations

9.

Gonzalez‐Lima, F., et al.. (1997). Quantitative cytochemistry of cytochrome oxidase and cellular morphometry of the human inferior colliculus in control and Alzheimer's patients. Brain Research. 752(1-2). 117–126. 33 indexed citations

10.

Caulet-Maugendre, Sylvie, et al.. (1996). [Primary pericardial thymoma: an unusual etiology of neoplastic pericarditis].. PubMed. 16(6). 445–8. 8 indexed citations

11.

Perrin, Christophe, et al.. (1988). [Subcutaneous rhabdomyosarcoma in children. Clinical, immunologic and ultrastructural aspects].. PubMed. 115(9). 919–25. 4 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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