N.K. Robakis

684 total citations
9 papers, 580 citations indexed

About

N.K. Robakis is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, N.K. Robakis has authored 9 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Physiology and 3 papers in Pharmacology. Recurrent topics in N.K. Robakis's work include Alzheimer's disease research and treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Dementia and Cognitive Impairment Research (2 papers). N.K. Robakis is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Dementia and Cognitive Impairment Research (2 papers). N.K. Robakis collaborates with scholars based in United States, Switzerland and Greece. N.K. Robakis's co-authors include Rachael L. Neve, Spiros Efthimiopoulos, H. M. Wiśniewski, N. Ramakrishna, Gloria Wolfe, Nikolaos Tezapsidis, Junichi Shioi, James A. Ripellino, Dido Vassilacopoulou and Ding‐Yi Fu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Trends in Neurosciences and Neuroscience.

In The Last Decade

N.K. Robakis

9 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N.K. Robakis United States 8 392 316 193 115 80 9 580
Niloufar Haque United States 12 358 0.9× 272 0.9× 142 0.7× 126 1.1× 103 1.3× 15 576
Naomi Nihonmatsu Japan 8 499 1.3× 448 1.4× 184 1.0× 134 1.2× 111 1.4× 8 699
Nathalie Touchet France 9 480 1.2× 262 0.8× 180 0.9× 118 1.0× 90 1.1× 11 597
Tina L. Tekirian United States 9 394 1.0× 235 0.7× 146 0.8× 79 0.7× 58 0.7× 11 592
Janelle Nunan Australia 8 510 1.3× 373 1.2× 205 1.1× 164 1.4× 89 1.1× 9 783
B. Tofel-Grehl United States 7 357 0.9× 287 0.9× 233 1.2× 125 1.1× 73 0.9× 8 542
Rejith Dayanandan United Kingdom 10 402 1.0× 309 1.0× 187 1.0× 117 1.0× 75 0.9× 17 588
Tatsuya Mizoroki Japan 11 432 1.1× 417 1.3× 293 1.5× 114 1.0× 136 1.7× 12 839
Klaus Mendla Germany 14 432 1.1× 462 1.5× 183 0.9× 165 1.4× 105 1.3× 20 750
Elena Gómez de Barreda Spain 15 468 1.2× 419 1.3× 284 1.5× 157 1.4× 80 1.0× 19 844

Countries citing papers authored by N.K. Robakis

Since Specialization
Citations

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

Fields of papers citing papers by N.K. Robakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N.K. Robakis. 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 N.K. Robakis. The network helps show where N.K. Robakis may publish in the future.

Co-authorship network of co-authors of N.K. Robakis

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

All Works

9 of 9 papers shown
1.
Jung, M., Boris V. Skryabin, Manabu Arai, et al.. (1999). Potentiation of the D2 mutant motor phenotype in mice lacking dopamine D2 and D3 receptors. Neuroscience. 91(3). 911–924. 110 indexed citations
2.
Efthimiopoulos, Spiros, Erik Floor, Anastasios Georgakopoulos, et al.. (1998). Enrichment of Presenilin 1 Peptides in Neuronal Large Dense‐Core and Somatodendritic Clathrin‐Coated Vesicles. Journal of Neurochemistry. 71(6). 2365–2372. 39 indexed citations
3.
Neve, Rachael L. & N.K. Robakis. (1998). Alzheimer's disease: a re-examination of the amyloid hypothesis. Trends in Neurosciences. 21(1). 15–19. 209 indexed citations
4.
Giannakopoulos, Pantéleimon, Constantin Bouras, Enikò Kövari, et al.. (1997). Presenilin-1-immunoreactive neurons are preserved in late-onset Alzheimer's disease.. PubMed. 150(2). 429–36. 48 indexed citations
5.
Pangalos, Menelas N., et al.. (1996). Characterization of Appican, the Chondroitin Sulfate Proteoglycan Form of the Alzheimer Amyloid Precursor Protein. PubMed. 5(4). 445–451. 32 indexed citations
6.
Shioi, Junichi, et al.. (1996). 550 Expression of Presenilin 1 (PS-1; S182) in response to experimental lesion models of Alzheimer disease. Neurobiology of Aging. 17(4). S137–S137. 1 indexed citations
7.
Efthimiopoulos, Spiros, Dido Vassilacopoulou, James A. Ripellino, Nikolaos Tezapsidis, & N.K. Robakis. (1996). Cholinergic agonists stimulate secretion of soluble full-length amyloid precursor protein in neuroendocrine cells.. Proceedings of the National Academy of Sciences. 93(15). 8046–8050. 59 indexed citations
8.
Pappolla, Miguel A., Kumar Sambamurti, Spiros Efthimiopoulos, et al.. (1995). Heat-shock induces abnormalities in the cellular distribution of amyloid precursor protein (APP) and APP fusion proteins. Neuroscience Letters. 192(2). 105–108. 7 indexed citations
9.
Robakis, N.K., N. Ramakrishna, Gloria Wolfe, & H. M. Wiśniewski. (1988). Molecular cloning and characterization of a cDNA encoding the cerebrovascular and neuritic plaque amyloid peptides. Alzheimer Disease & Associated Disorders. 2(2). 135–135. 75 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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