Roger J. Mullins

1.7k total citations
25 papers, 1.3k citations indexed

About

Roger J. Mullins is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Roger J. Mullins has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 8 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Roger J. Mullins's work include Alzheimer's disease research and treatments (6 papers), Diet and metabolism studies (4 papers) and Advanced MRI Techniques and Applications (3 papers). Roger J. Mullins is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Diet and metabolism studies (4 papers) and Advanced MRI Techniques and Applications (3 papers). Roger J. Mullins collaborates with scholars based in United States, Canada and Israel. Roger J. Mullins's co-authors include Dimitrios Kapogiannis, Rao P. Gullapalli, Maja Mustapić, Chee W. Chia, Su Xu, Edward J. Goetzl, Jiachen Zhuo, Julie L. Proctor, Gary Fiskum and Jonathan Z. Simon and has published in prestigious journals such as NeuroImage, Cell Metabolism and The FASEB Journal.

In The Last Decade

Roger J. Mullins

24 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
Roger J. Mullins United States 18 383 368 228 202 164 25 1.3k
Yücel Yavuz Türkiye 23 567 1.5× 163 0.4× 318 1.4× 167 0.8× 232 1.4× 85 2.1k
Kazım Tuğyan Türkiye 22 296 0.8× 241 0.7× 47 0.2× 126 0.6× 142 0.9× 56 1.6k
Gene L. Bowman United States 21 408 1.1× 694 1.9× 64 0.3× 191 0.9× 347 2.1× 38 1.7k
Takuya Watanabe Japan 20 318 0.8× 294 0.8× 118 0.5× 86 0.4× 327 2.0× 77 1.5k
Paula T. Cooney United States 15 255 0.7× 265 0.7× 88 0.4× 52 0.3× 87 0.5× 29 969
B.L. Scott United States 20 760 2.0× 311 0.8× 118 0.5× 1.0k 5.1× 273 1.7× 47 2.2k
Dong‐Hee Choi South Korea 27 531 1.4× 311 0.8× 66 0.3× 242 1.2× 387 2.4× 97 2.0k
Ioannis Zaganas Greece 24 590 1.5× 347 0.9× 37 0.2× 149 0.7× 105 0.6× 80 1.7k
Moeko Noguchi‐Shinohara Japan 21 346 0.9× 446 1.2× 81 0.4× 313 1.5× 277 1.7× 62 1.3k

Countries citing papers authored by Roger J. Mullins

Since Specialization
Citations

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

Fields of papers citing papers by Roger J. Mullins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roger J. Mullins

This figure shows the co-authorship network connecting the top 25 collaborators of Roger J. Mullins. A scholar is included among the top collaborators of Roger J. Mullins 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 Roger J. Mullins. Roger J. Mullins 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.
Kapogiannis, Dimitrios, Apostolos Manolopoulos, Roger J. Mullins, et al.. (2024). Brain responses to intermittent fasting and the healthy living diet in older adults. Cell Metabolism. 36(8). 1668–1678.e5. 20 indexed citations
2.
3.
Mullins, Roger J. & Dimitrios Kapogiannis. (2022). Alzheimer’s Disease-Related Genes Identified by Linking Spatial Patterns of Pathology and Gene Expression. Frontiers in Neuroscience. 16. 908650–908650. 4 indexed citations
4.
5.
Avgerinos, Konstantinos, Roger J. Mullins, Josephine M. Egan, & Dimitrios Kapogiannis. (2022). Ketone Ester Effects on Biomarkers of Brain Metabolism and Cognitive Performance in Cognitively Intact Adults ≥ 55 Years Old. A Study Protocol for a Double-Blinded Randomized Controlled Clinical Trial. The Journal of Prevention of Alzheimer s Disease. 9(1). 54–66. 7 indexed citations
6.
Mullins, Roger J., Su Xu, Jiachen Zhuo, et al.. (2020). Postnatal Guinea Pig Brain Development, as Revealed by Magnetic Resonance and Diffusion Kurtosis Imaging. Brain Sciences. 10(6). 365–365. 4 indexed citations
7.
Tweedie, David, Hanuma Kumar Karnati, Roger J. Mullins, et al.. (2020). Time-dependent cytokine and chemokine changes in mouse cerebral cortex following a mild traumatic brain injury. eLife. 9. 29 indexed citations
8.
Mullins, Roger J., Maja Mustapić, Chee W. Chia, et al.. (2019). A Pilot Study of Exenatide Actions in Alzheimer’s Disease. Current Alzheimer Research. 16(8). 741–752. 115 indexed citations
9.
Wijtenburg, S. Andrea, Dimitrios Kapogiannis, Stephanie A. Korenic, et al.. (2019). Brain insulin resistance and altered brain glucose are related to memory impairments in schizophrenia. Schizophrenia Research. 208. 324–330. 42 indexed citations
10.
Mullins, Roger J., Maja Mustapić, Edward J. Goetzl, & Dimitrios Kapogiannis. (2017). Exosomal biomarkers of brain insulin resistance associated with regional atrophy in Alzheimer's disease. Human Brain Mapping. 38(4). 1933–1940. 104 indexed citations
11.
Mullins, Roger J., et al.. (2017). Insulin Resistance as a Link between Amyloid-Beta and Tau Pathologies in Alzheimer’s Disease. Frontiers in Aging Neuroscience. 9. 156 indexed citations
12.
Mullins, Roger J., et al.. (2016). Insulin resistance in Alzheimer's disease. Translational research. 183. 26–40. 96 indexed citations
13.
Shen, Wei‐Bin, Céline Plachez, Orest Tsymbalyuk, et al.. (2016). Cell-Based Therapy in TBI: Magnetic Retention of Neural Stem Cells in Vivo. Cell Transplantation. 25(6). 1085–1099. 33 indexed citations
14.
Mullins, Roger J., Su Xu, Edna F. R. Pereira, et al.. (2015). Prenatal exposure of guinea pigs to the organophosphorus pesticide chlorpyrifos disrupts the structural and functional integrity of the brain. NeuroToxicology. 48. 9–20. 25 indexed citations
15.
Pratt, Stephen J. P., Su Xu, Roger J. Mullins, & Richard M. Lovering. (2013). Temporal changes in magnetic resonance imaging in the mdx mouse. BMC Research Notes. 6(1). 262–262. 21 indexed citations
16.
Mullins, Roger J., Su Xu, Edna F. R. Pereira, et al.. (2013). Delayed hippocampal effects from a single exposure of prepubertal guinea pigs to sub-lethal dose of chlorpyrifos: A magnetic resonance imaging and spectroscopy study. NeuroToxicology. 36. 42–48. 6 indexed citations
17.
Zhuo, Jiachen, Su Xu, Julie L. Proctor, et al.. (2011). Diffusion kurtosis as an in vivo imaging marker for reactive astrogliosis in traumatic brain injury. NeuroImage. 59(1). 467–477. 246 indexed citations
18.
Robottom, B., Roger J. Mullins, & Lisa M. Shulman. (2008). Pregnancy in Parkinson’s disease: case report and discussion. Expert Review of Neurotherapeutics. 8(12). 1799–1805. 21 indexed citations
19.
Anderson, Karen E. & Roger J. Mullins. (2003). Behavioral changes associated with deep brain stimulation surgery for Parkinson’s disease. Current Neurology and Neuroscience Reports. 3(4). 306–313. 31 indexed citations
20.
Parenté, Rick, et al.. (2003). The Delphi method, impeachment and terrorism: Accuracies of short-range forecasts for volatile world events. Technological Forecasting and Social Change. 72(4). 401–411. 21 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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