Mark D. Meadowcroft

855 total citations
23 papers, 700 citations indexed

About

Mark D. Meadowcroft is a scholar working on Physiology, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Mark D. Meadowcroft has authored 23 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Rheumatology. Recurrent topics in Mark D. Meadowcroft's work include Alzheimer's disease research and treatments (8 papers), Trace Elements in Health (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Mark D. Meadowcroft is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Trace Elements in Health (5 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Mark D. Meadowcroft collaborates with scholars based in United States, Italy and Germany. Mark D. Meadowcroft's co-authors include James R. Connor, Qing X. Yang, Michael B. Smith, Douglas G. Peters, Paul J. Eslinger, Xiaoyu Sun, Joseph L. Price, Jianli Wang, Richard L. Doty and Qing Yang and has published in prestigious journals such as Brain Research, The FASEB Journal and Journal of Neurochemistry.

In The Last Decade

Mark D. Meadowcroft

22 papers receiving 696 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark D. Meadowcroft United States 11 241 200 149 133 132 23 700
Cristina Ordóñez Spain 15 121 0.5× 94 0.5× 25 0.2× 87 0.7× 118 0.9× 24 592
P. Zaniol Italy 22 265 1.1× 46 0.2× 243 1.6× 128 1.0× 21 0.2× 50 1.4k
John C. Lopshire United States 18 321 1.3× 25 0.1× 43 0.3× 166 1.2× 238 1.8× 22 1.3k
Kazutomi Kanemaru Japan 18 506 2.1× 56 0.3× 71 0.5× 217 1.6× 73 0.6× 55 1.3k
Fabian Maass Germany 17 228 0.9× 74 0.4× 35 0.2× 105 0.8× 9 0.1× 34 879
Maiko Uemura Japan 18 436 1.8× 87 0.4× 28 0.2× 464 3.5× 30 0.2× 31 1.3k
Joost C.H. van Oostrom Netherlands 10 242 1.0× 68 0.3× 169 1.1× 364 2.7× 9 0.1× 12 1.4k
Yukiko Tokumitsu Japan 16 93 0.4× 47 0.2× 137 0.9× 18 0.1× 56 0.4× 36 689
Huiyan Lü United States 16 181 0.8× 86 0.4× 40 0.3× 49 0.4× 25 0.2× 30 1.2k
M Horácková Canada 21 133 0.6× 82 0.4× 19 0.1× 53 0.4× 17 0.1× 59 1.2k

Countries citing papers authored by Mark D. Meadowcroft

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Meadowcroft

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark D. Meadowcroft. 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 Mark D. Meadowcroft. The network helps show where Mark D. Meadowcroft may publish in the future.

Co-authorship network of co-authors of Mark D. Meadowcroft

This figure shows the co-authorship network connecting the top 25 collaborators of Mark D. Meadowcroft. A scholar is included among the top collaborators of Mark D. Meadowcroft 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 Mark D. Meadowcroft. Mark D. Meadowcroft 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.
Meadowcroft, Mark D., et al.. (2020). [Met5]-enkephalin preserves diffusion metrics in EAE mice. Brain Research Bulletin. 165. 246–252. 7 indexed citations
2.
Meadowcroft, Mark D., et al.. (2019). P4‐304: 18F‐FDG‐PET HYPERACTIVITY IN ALZHEIMER'S DISEASE PRIMARY OLFACTORY CORTEX. Alzheimer s & Dementia. 15(7S_Part_27). 2 indexed citations
3.
Neely, Elizabeth, et al.. (2018). HFE Genotype Restricts the Response to Paraquat in a Mouse Model of Neurotoxicity. The FASEB Journal. 32(S1). 2 indexed citations
4.
Nixon, Anne M., Mark D. Meadowcroft, Elizabeth Neely, et al.. (2018). HFE Genotype Restricts the Response to Paraquat in a Mouse Model of Neurotoxicity. Journal of Neurochemistry. 145(4). 299–311. 20 indexed citations
5.
Peters, Douglas G., et al.. (2017). Dietary lipophilic iron accelerates regional brain iron-load in C57BL6 mice. Brain Structure and Function. 223(3). 1519–1536. 10 indexed citations
6.
Meadowcroft, Mark D., Jianli Wang, Paul J. Eslinger, et al.. (2017). Reduced Cerebral White Matter Integrity Assessed by DTI in Cognitively Normal H63D‐HFE Polymorphism Carriers. Journal of Neuroimaging. 28(1). 126–133. 4 indexed citations
7.
Karunanayaka, Prasanna, Donald A. Wilson, Michael J. Tobia, et al.. (2016). Default mode network deactivation during odor–visual association. Human Brain Mapping. 38(3). 1125–1139. 19 indexed citations
8.
Peters, Douglas G., James R. Connor, & Mark D. Meadowcroft. (2015). The relationship between iron dyshomeostasis and amyloidogenesis in Alzheimer's disease: Two sides of the same coin. Neurobiology of Disease. 81. 49–65. 122 indexed citations
9.
Meadowcroft, Mark D., Jianli Wang, Douglas G. Peters, et al.. (2015). Reduced white matter MRI transverse relaxation rate in cognitively normal H63D-HFE human carriers and H67D-HFE mice. Brain Imaging and Behavior. 10(4). 1231–1242. 7 indexed citations
10.
Meadowcroft, Mark D., James R. Connor, & Qing X. Yang. (2015). Cortical iron regulation and inflammatory response in Alzheimer's disease and APPSWE/PS1ΔE9 mice: a histological perspective. Frontiers in Neuroscience. 9. 255–255. 41 indexed citations
11.
Meadowcroft, Mark D., et al.. (2014). The effect of iron in MRI and transverse relaxation of amyloid‐beta plaques in Alzheimer's disease. NMR in Biomedicine. 28(3). 297–305. 38 indexed citations
12.
Tobia, Michael J., Mark D. Meadowcroft, Prasanna Karunanayaka, & Qing Yang. (2014). The effects of age on multiscale entropy measurement of neurophysiological signal complexity (1125.6). The FASEB Journal. 28(S1). 2 indexed citations
13.
Meadowcroft, Mark D., et al.. (2014). Histological–MRI correlation in the primary motor cortex of patients with amyotrophic lateral sclerosis. Journal of Magnetic Resonance Imaging. 41(3). 665–675. 26 indexed citations
14.
Sperling, Reisa A., Richard A. Bronen, Steven A. Greenberg, et al.. (2011). P2‐200: Three cases of apparent Vasogenic Edema (VE) from a phase 2 clinical trial of the gamma secretase Inhibitor BMS‐708163 in patients with mild‐to‐moderate AD. Alzheimer s & Dementia. 7(4S_Part_11). 5 indexed citations
15.
Wang, Jianli, Paul J. Eslinger, Richard L. Doty, et al.. (2010). Olfactory deficit detected by fMRI in early Alzheimer's disease. Brain Research. 1357. 184–194. 139 indexed citations
16.
Meadowcroft, Mark D., James R. Connor, Michael B. Smith, & Qing X. Yang. (2009). MRI and histological analysis of beta‐amyloid plaques in both human Alzheimer's disease and APP/PS1 transgenic mice. Journal of Magnetic Resonance Imaging. 29(5). 997–1007. 147 indexed citations
17.
Eslinger, Paul J., et al.. (2009). Functional MRI Evidence for Distinctive Binding and Consolidation Pathways for Face-Name Associations. Topics in Magnetic Resonance Imaging. 20(5). 271–278. 9 indexed citations
18.
19.
Meadowcroft, Mark D., Shutong Zhang, Wanzhan Liu, et al.. (2007). Direct magnetic resonance imaging of histological tissue samples at 3.0T. Magnetic Resonance in Medicine. 57(5). 835–841. 28 indexed citations
20.
Yang, Qing, Jianli Wang, Michael B. Smith, et al.. (2004). Reduction of magnetic field inhomogeneity artifacts in echo planar imaging with SENSE and GESEPI at high field. Magnetic Resonance in Medicine. 52(6). 1418–1423. 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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