Maria Kataki

10.9k total citations
9 papers, 404 citations indexed

About

Maria Kataki is a scholar working on Psychiatry and Mental health, Neurology and Molecular Biology. According to data from OpenAlex, Maria Kataki has authored 9 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Psychiatry and Mental health, 4 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Maria Kataki's work include Dementia and Cognitive Impairment Research (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Frailty in Older Adults (2 papers). Maria Kataki is often cited by papers focused on Dementia and Cognitive Impairment Research (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Frailty in Older Adults (2 papers). Maria Kataki collaborates with scholars based in United States, Italy and Vietnam. Maria Kataki's co-authors include Douglas W. Scharre, Wolfgang Sadée, Haikady N. Nagaraja, Anil K. Malhotra, Julia K. Pinsonneault, Howard H. Gu, Katherine E. Burdick, Alessandro Bertolino, Dawn D. Han and David Q. Beversdorf and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Neuropsychopharmacology and Journal of Alzheimer s Disease.

In The Last Decade

Maria Kataki

8 papers receiving 391 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Maria Kataki United States	8	203	81	64	60	58	9	404
Miguel Aguilar Spain	8	267 1.3×	111 1.4×	98 1.5×	31 0.5×	36 0.6×	14	559
Michaela Defrancesco Austria	14	211 1.0×	176 2.2×	100 1.6×	66 1.1×	38 0.7×	36	587
Caroline Pietá Dias Brazil	13	88 0.4×	139 1.7×	65 1.0×	49 0.8×	77 1.3×	62	555
Angélica Miki Stein Brazil	11	132 0.7×	210 2.6×	24 0.4×	55 0.9×	63 1.1×	25	528
Thays Martins Vital Brazil	9	162 0.8×	170 2.1×	25 0.4×	29 0.5×	49 0.8×	19	437
Beata Ferencz Sweden	8	125 0.6×	104 1.3×	28 0.4×	54 0.9×	26 0.4×	9	313
M. Aguilar Spain	7	217 1.1×	60 0.7×	167 2.6×	53 0.9×	40 0.7×	10	579
Anna McCarrey United States	8	163 0.8×	67 0.8×	19 0.3×	30 0.5×	19 0.3×	8	554
Cândida Helena Pires de Camargo Brazil	10	334 1.6×	100 1.2×	55 0.9×	35 0.6×	111 1.9×	15	558
Corneliu Luca United States	14	121 0.6×	64 0.8×	370 5.8×	62 1.0×	87 1.5×	45	623

Countries citing papers authored by Maria Kataki

Since Specialization

Citations

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

Fields of papers citing papers by Maria Kataki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Kataki

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kataki. A scholar is included among the top collaborators of Maria Kataki 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 Maria Kataki. Maria Kataki 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

Scharre, Douglas W., et al.. (2021). Self-Administered Gerocognitive Examination: longitudinal cohort testing for the early detection of dementia conversion. Alzheimer s Research & Therapy. 13(1). 192–192. 18 indexed citations

Barrie, Elizabeth S., et al.. (2018). Alpha‐synuclein mRNA isoform formation and translation affected by polymorphism in the human SNCA 3ʹUTR. Molecular Genetics & Genomic Medicine. 6(4). 565–574. 9 indexed citations

Scharre, Douglas W., Haikady N. Nagaraja, Ariane Park, et al.. (2016). Paired Studies Comparing Clinical Profiles of Lewy Body Dementia with Alzheimer’s and Parkinson’s Diseases. Journal of Alzheimer s Disease. 54(3). 995–1004. 16 indexed citations

Fritz, Nora E., Anne Kloos, Ariane Park, et al.. (2016). Motor performance differentiates individuals with Lewy body dementia, Parkinson’s and Alzheimer’s disease. Gait & Posture. 50. 1–7. 77 indexed citations

Pietrzak, Maciej, Audrey C. Papp, Samuel K. Handelman, et al.. (2016). Gene expression profiling of brain samples from patients with Lewy body dementia. Biochemical and Biophysical Research Communications. 479(4). 875–880. 33 indexed citations

Pinsonneault, Julia K., Dawn D. Han, Katherine E. Burdick, et al.. (2011). Dopamine Transporter Gene Variant Affecting Expression in Human Brain is Associated with Bipolar Disorder. Neuropsychopharmacology. 36(8). 1644–1655. 117 indexed citations

Scharre, Douglas W., Robert A. Murden, David Q. Beversdorf, et al.. (2010). Self-administered Gerocognitive Examination (SAGE). Alzheimer Disease & Associated Disorders. 24(1). 64–71. 94 indexed citations

Scharre, Douglas W., et al.. (2010). P2‐190: Self Administered Gerocognitive Examination (SAGE) score changes over time in worried well, Mild Cognitive Impairment (MCI), dementia converter, and Alzheimer patients. Alzheimer s & Dementia. 6(4S_Part_12).

Doody, Rachelle S., et al.. (2003). A Method for Estimating Duration of Illness in Alzheimer’s Disease. Dementia and Geriatric Cognitive Disorders. 17(1-2). 1–4. 40 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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