Mary C. Kosciuk

1.6k total citations
24 papers, 1.3k citations indexed

About

Mary C. Kosciuk is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Mary C. Kosciuk has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Neurology and 7 papers in Physiology. Recurrent topics in Mary C. Kosciuk's work include Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Mary C. Kosciuk is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). Mary C. Kosciuk collaborates with scholars based in United States, China and Netherlands. Mary C. Kosciuk's co-authors include Robert G. Nagele, Nimish K. Acharya, Cassandra DeMarshall, Eric P. Nagele, Min Han, George Godsey, Peter Clifford, Eric L. Goldwaser, Peter A. Galie and Abhirup Sarkar and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Biomaterials.

In The Last Decade

Mary C. Kosciuk

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary C. Kosciuk United States 17 470 311 301 170 166 24 1.3k
Nimish K. Acharya United States 17 508 1.1× 386 1.2× 347 1.2× 158 0.9× 199 1.2× 28 1.4k
Bjarne Krebs Germany 18 707 1.5× 247 0.8× 365 1.2× 168 1.0× 147 0.9× 25 1.8k
Luce Dauphinot France 23 950 2.0× 425 1.4× 448 1.5× 252 1.5× 145 0.9× 32 2.2k
Négar Khanlou United States 21 909 1.9× 236 0.8× 238 0.8× 150 0.9× 128 0.8× 51 1.9k
Christina Coughlan United States 24 800 1.7× 262 0.8× 308 1.0× 169 1.0× 222 1.3× 61 1.7k
Devin S. Gary United States 26 733 1.6× 268 0.9× 264 0.9× 436 2.6× 148 0.9× 33 1.9k
Chris Greene Ireland 14 522 1.1× 710 2.3× 223 0.7× 140 0.8× 86 0.5× 21 1.6k
Ferda Filiz United States 6 1.2k 2.5× 278 0.9× 150 0.5× 275 1.6× 235 1.4× 6 2.8k
Yirong Yang United States 21 541 1.2× 737 2.4× 181 0.6× 162 1.0× 173 1.0× 60 1.9k
Brian E. Mace United States 23 766 1.6× 287 0.9× 538 1.8× 228 1.3× 359 2.2× 44 2.2k

Countries citing papers authored by Mary C. Kosciuk

Since Specialization
Citations

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

Fields of papers citing papers by Mary C. Kosciuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary C. Kosciuk. 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 Mary C. Kosciuk. The network helps show where Mary C. Kosciuk may publish in the future.

Co-authorship network of co-authors of Mary C. Kosciuk

This figure shows the co-authorship network connecting the top 25 collaborators of Mary C. Kosciuk. A scholar is included among the top collaborators of Mary C. Kosciuk 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 Mary C. Kosciuk. Mary C. Kosciuk 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
2.
Goldwaser, Eric L., Randel L. Swanson, Edgardo J. Arroyo, et al.. (2022). A Preliminary Report: The Hippocampus and Surrounding Temporal Cortex of Patients With Schizophrenia Have Impaired Blood-Brain Barrier. Frontiers in Human Neuroscience. 16. 836980–836980. 11 indexed citations
3.
Goldwaser, Eric L., Nimish K. Acharya, George Godsey, et al.. (2020). Evidence that Brain-Reactive Autoantibodies Contribute to Chronic Neuronal Internalization of Exogenous Amyloid-β1-42 and Key Cell Surface Proteins During Alzheimer’s Disease Pathogenesis. Journal of Alzheimer s Disease. 74(1). 345–361. 15 indexed citations
4.
Acharya, Nimish K., Xin Qi, Eric L. Goldwaser, et al.. (2017). Retinal pathology is associated with increased blood–retina barrier permeability in a diabetic and hypercholesterolaemic pig model: Beneficial effects of the LpPLA2 inhibitor Darapladib. Diabetes and Vascular Disease Research. 14(3). 200–213. 40 indexed citations
5.
Godsey, George, et al.. (2016). Mechanical stress regulates transport in a compliant 3D model of the blood-brain barrier. Biomaterials. 115. 30–39. 142 indexed citations
6.
DeMarshall, Cassandra, Eric P. Nagele, Abhirup Sarkar, et al.. (2016). Detection of Alzheimer's disease at mild cognitive impairment and disease progression using autoantibodies as blood‐based biomarkers. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 3(1). 51–62. 64 indexed citations
8.
DeMarshall, Cassandra, Min Han, Eric P. Nagele, et al.. (2015). Potential utility of autoantibodies as blood-based biomarkers for early detection and diagnosis of Parkinson’s disease. Immunology Letters. 168(1). 80–88. 32 indexed citations
9.
Acharya, Nimish K., Eli C. Levin, Peter Clifford, et al.. (2013). Diabetes and Hypercholesterolemia Increase Blood-Brain Barrier Permeability and Brain Amyloid Deposition: Beneficial Effects of the LpPLA2 Inhibitor Darapladib. Journal of Alzheimer s Disease. 35(1). 179–198. 111 indexed citations
10.
Nagele, Eric P., Min Han, Nimish K. Acharya, et al.. (2013). Natural IgG Autoantibodies Are Abundant and Ubiquitous in Human Sera, and Their Number Is Influenced By Age, Gender, and Disease. PLoS ONE. 8(4). e60726–e60726. 228 indexed citations
11.
Krishnan, Harini, Yongquan Shen, Nimish K. Acharya, et al.. (2012). Plant Lectin Can Target Receptors Containing Sialic Acid, Exemplified by Podoplanin, to Inhibit Transformed Cell Growth and Migration. PLoS ONE. 7(7). e41845–e41845. 59 indexed citations
12.
Nagele, Robert G., Peter Clifford, Eli C. Levin, et al.. (2011). Brain-Reactive Autoantibodies Prevalent in Human Sera Increase Intraneuronal Amyloid-β1-42 Deposition. Journal of Alzheimer s Disease. 25(4). 605–622. 58 indexed citations
13.
Bakshi, Kalindi, Mary C. Kosciuk, Jingjing Liu, et al.. (2009). Prenatal Cocaine Reduces AMPA Receptor Synaptic Expression through Hyperphosphorylation of the Synaptic Anchoring Protein GRIP. Journal of Neuroscience. 29(19). 6308–6319. 15 indexed citations
14.
Clifford, Peter, Mary C. Kosciuk, Eli C. Levin, et al.. (2008). α7 nicotinic acetylcholine receptor expression by vascular smooth muscle cells facilitates the deposition of Aβ peptides and promotes cerebrovascular amyloid angiopathy. Brain Research. 1234. 158–171. 35 indexed citations
15.
Clifford, Peter, Mary C. Kosciuk, Venkateswar Venkataraman, et al.. (2007). Aβ peptides can enter the brain through a defective blood–brain barrier and bind selectively to neurons. Brain Research. 1142. 223–236. 111 indexed citations
16.
Ladner, Robert D., et al.. (1996). Affinity Purification and Comparative Analysis of Two Distinct Human Uracil-DNA Glycosylases. Experimental Cell Research. 222(2). 345–359. 36 indexed citations
17.
Nagele, Robert G., et al.. (1989). Biomechanical basis of diazepam‐induced neural tube defects in early chick embryos: A morphometric study. Teratology. 40(1). 29–36. 8 indexed citations
20.
Lee, Hsin‐Yi, Mary C. Kosciuk, Robert G. Nagele, & Fred J. Roisen. (1983). Studies on the mechanisms of neurulation in the chick: Possible involvement of myosin in elevation of neural folds. Journal of Experimental Zoology. 225(3). 449–457. 41 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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