William Matloff

814 total citations
12 papers, 563 citations indexed

About

William Matloff is a scholar working on Cognitive Neuroscience, Genetics and Physiology. According to data from OpenAlex, William Matloff has authored 12 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 5 papers in Genetics and 3 papers in Physiology. Recurrent topics in William Matloff's work include Functional Brain Connectivity Studies (5 papers), Genetic Associations and Epidemiology (4 papers) and Alzheimer's disease research and treatments (3 papers). William Matloff is often cited by papers focused on Functional Brain Connectivity Studies (5 papers), Genetic Associations and Epidemiology (4 papers) and Alzheimer's disease research and treatments (3 papers). William Matloff collaborates with scholars based in United States, South Korea and United Kingdom. William Matloff's co-authors include Lu Zhao, Arthur W. Toga, Kaida Ning, Fengzhu Sun, Ayeeshik Kole, Lucas Hofmeister, Brian C. Evans, John P. Wikswo, Hosung Kim and Ivo D. Dinov and has published in prestigious journals such as Scientific Reports, Biological Psychiatry and Cerebral Cortex.

In The Last Decade

William Matloff

12 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William Matloff United States	9	218	113	98	62	58	12	563
Nikolaos Foroglou Greece	16	104 0.5×	133 1.2×	148 1.5×	33 0.5×	102 1.8×	58	880
Vijay N. Tiwari India	15	217 1.0×	50 0.4×	81 0.8×	58 0.9×	21 0.4×	27	548
Xiaochen Xu China	13	83 0.4×	252 2.2×	37 0.4×	23 0.4×	55 0.9×	33	637
Nicole M. Baker Canada	14	105 0.5×	307 2.7×	123 1.3×	25 0.4×	18 0.3×	22	753
Timothy J. Counihan Ireland	17	111 0.5×	268 2.4×	102 1.0×	87 1.4×	272 4.7×	45	1.0k
Massimo Marano Italy	17	84 0.4×	128 1.1×	136 1.4×	92 1.5×	211 3.6×	65	842
Mauricio Cerda Chile	13	69 0.3×	56 0.5×	35 0.4×	44 0.7×	37 0.6×	49	418
Claudia Krebs Canada	13	131 0.6×	199 1.8×	30 0.3×	23 0.4×	227 3.9×	49	687
Ramani Balu United States	18	217 1.0×	96 0.8×	74 0.8×	49 0.8×	272 4.7×	47	1.1k
M. Strüber Germany	19	157 0.7×	82 0.7×	223 2.3×	49 0.8×	264 4.6×	64	939

Countries citing papers authored by William Matloff

Since Specialization

Citations

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

Fields of papers citing papers by William Matloff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Matloff

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

All Works

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12 of 12 papers shown

Kang, Sung Hoon, Mengting Liu, Gilsoon Park, et al.. (2023). Different effects of cardiometabolic syndrome on brain age in relation to gender and ethnicity. Alzheimer s Research & Therapy. 15(1). 68–68. 12 indexed citations

Moon, Seok Woo, Lu Zhao, William Matloff, et al.. (2022). Brain structure and allelic associations in Alzheimer's disease. CNS Neuroscience & Therapeutics. 29(4). 1034–1048. 5 indexed citations

Ning, Kaida, Ben A. Duffy, Meredith Franklin, et al.. (2021). Improving brain age estimates with deep learning leads to identification of novel genetic factors associated with brain aging. Neurobiology of Aging. 105. 199–204. 19 indexed citations

Zhao, Lu, William Matloff, Yonggang Shi, Ryan P. Cabeen, & Arthur W. Toga. (2021). Mapping Complex Brain Torque Components and Their Genetic Architecture and Phenomic Associations in 24,112 Individuals. Biological Psychiatry. 91(8). 753–768. 17 indexed citations

Zhao, Lu, et al.. (2020). Neuroimaging PheWAS (Phenome-Wide Association Study): A Free Cloud-Computing Platform for Big-Data, Brain-Wide Imaging Association Studies. Neuroinformatics. 19(2). 285–303. 3 indexed citations

Ning, Kaida, Lu Zhao, Meredith Franklin, et al.. (2020). Parity is associated with cognitive function and brain age in both females and males. Scientific Reports. 10(1). 6100–6100. 47 indexed citations

Ning, Kaida, Lu Zhao, William Matloff, Fengzhu Sun, & Arthur W. Toga. (2020). Association of relative brain age with tobacco smoking, alcohol consumption, and genetic variants. Scientific Reports. 10(1). 10–10. 108 indexed citations

Matloff, William, et al.. (2020). Identification of Dysregulated Genes for Late-Onset Alzheimer's Disease Using Gene Expression Data in Brain.. PubMed. 10(6). 4 indexed citations

Matloff, William, Lu Zhao, Kaida Ning, David V. Conti, & Arthur W. Toga. (2019). Interaction effect of alcohol consumption and Alzheimer disease polygenic risk score on the brain cortical thickness of cognitively normal subjects. Alcohol. 85. 1–12. 9 indexed citations

10.

Zhao, Lu, William Matloff, Kaida Ning, et al.. (2018). Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults. Cerebral Cortex. 29(10). 4169–4193. 48 indexed citations

11.

Ning, Kaida, Bo Chen, Fengzhu Sun, et al.. (2018). Classifying Alzheimer's disease with brain imaging and genetic data using a neural network framework. Neurobiology of Aging. 68. 151–158. 51 indexed citations

12.

Wikswo, John P., et al.. (2013). Scaling and systems biology for integrating multiple organs-on-a-chip. Lab on a Chip. 13(18). 3496–3496. 240 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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