Robert E. Mrak

1.7k total citations
9 papers, 1.4k citations indexed

About

Robert E. Mrak is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Robert E. Mrak has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Molecular Biology and 4 papers in Neurology. Recurrent topics in Robert E. Mrak's work include Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and S100 Proteins and Annexins (4 papers). Robert E. Mrak is often cited by papers focused on Alzheimer's disease research and treatments (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and S100 Proteins and Annexins (4 papers). Robert E. Mrak collaborates with scholars based in United States, Singapore and United Kingdom. Robert E. Mrak's co-authors include W. Sue T. Griffin, Jin G. Sheng, Gareth W. Roberts, Steven W. Barger, Ling Liu, Jinsong Kang, Linda J. Van Eldik, Cynthia R. Rovnaghi, Ewa Kozłowska and Ling Liu and has published in prestigious journals such as Journal of Neuroscience, Journal of Neurochemistry and Acta Neuropathologica.

In The Last Decade

Robert E. Mrak

9 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert E. Mrak United States	8	777	733	479	221	187	9	1.4k
Sylvia Strauss Germany	12	813 1.0×	689 0.9×	465 1.0×	273 1.2×	207 1.1×	19	1.5k
Frédérique Bard United States	16	1.0k 1.3×	652 0.9×	450 0.9×	162 0.7×	281 1.5×	25	1.6k
Vitaliy Gavrilyuk United States	17	452 0.6×	559 0.8×	659 1.4×	144 0.7×	336 1.8×	22	1.5k
Kristina Lindholm United States	9	755 1.0×	428 0.6×	383 0.8×	131 0.6×	240 1.3×	11	1.2k
Melissa Freeman United States	13	910 1.2×	515 0.7×	421 0.9×	116 0.5×	178 1.0×	21	1.5k
Brandy Wilkinson United States	8	828 1.1×	474 0.6×	581 1.2×	97 0.4×	248 1.3×	11	1.6k
Michael A. Mastrangelo United States	21	968 1.2×	717 1.0×	558 1.2×	234 1.1×	298 1.6×	27	1.8k
Nikunj Patel United States	19	800 1.0×	483 0.7×	583 1.2×	102 0.5×	204 1.1×	25	1.5k
Claire J. Garwood United Kingdom	22	1.1k 1.4×	752 1.0×	675 1.4×	164 0.7×	417 2.2×	32	1.9k
Carla Iarlori Italy	16	378 0.5×	532 0.7×	294 0.6×	192 0.9×	204 1.1×	18	1.2k

Countries citing papers authored by Robert E. Mrak

Since Specialization

Citations

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

Fields of papers citing papers by Robert E. Mrak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert E. Mrak. 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 Robert E. Mrak. The network helps show where Robert E. Mrak may publish in the future.

Co-authorship network of co-authors of Robert E. Mrak

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

All Works

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9 of 9 papers shown

Mrak, Robert E.. (2001). Interleukin-1, neuroinflammation, and Alzheimer's disease. Neurobiology of Aging. 22(6). 903–908. 295 indexed citations

Mrak, Robert E., et al.. (2000). Peripheral primitive neuroectodermal tumor of the parotid gland region: Report of a case with fine-needle aspiration findings. Diagnostic Cytopathology. 22(3). 161–166. 10 indexed citations

Barger, Steven W., et al.. (2000). S100β Induction of the Proinflammatory Cytokine Interleukin‐6 in Neurons. Journal of Neurochemistry. 74(1). 143–150. 95 indexed citations

Liu, Ling, Jinsong Kang, Jin G. Sheng, et al.. (2000). Neuronal–Glial Interactions Mediated by Interleukin-1 Enhance Neuronal Acetylcholinesterase Activity and mRNA Expression. Journal of Neuroscience. 20(1). 149–155. 171 indexed citations

Sheng, Jin G., Robert E. Mrak, & W. Sue T. Griffin. (1998). Enlarged and phagocytic, but not primed, interleukin-1α-immunoreactive microglia increase with age in normal human brain. Acta Neuropathologica. 95(3). 229–234. 188 indexed citations

Sheng, Jin G., Xue Zhou, Robert E. Mrak, & W. Sue T. Griffin. (1998). Progressive Neuronal Injury Associated with Amyloid Plaque Formation in Alzheimer Disease. Journal of Neuropathology & Experimental Neurology. 57(7). 714–717. 67 indexed citations

Sheng, Jin G., Robert E. Mrak, Cynthia R. Rovnaghi, et al.. (1996). Human brain S100β and S100β mRNA expression increases with age: Pathogenic implications for Alzheimer's disease. Neurobiology of Aging. 17(3). 359–363. 131 indexed citations

Mrak, Robert E., May L. Griebel, & Michael C. Brodsky. (1996). Broad A band disease: A new, benign congenital myopathy. Muscle & Nerve. 19(5). 587–594. 7 indexed citations

Griffin, W. Sue T., Jin G. Sheng, Gareth W. Roberts, & Robert E. Mrak. (1995). Interleukin-1 Expression in Different Plaque Types in Alzheimerʼs Disease. Journal of Neuropathology & Experimental Neurology. 54(2). 276–281. 440 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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