Eleanor K. Pickett

677 total citations
8 papers, 356 citations indexed

About

Eleanor K. Pickett is a scholar working on Cellular and Molecular Neuroscience, Physiology and Neurology. According to data from OpenAlex, Eleanor K. Pickett has authored 8 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Physiology and 3 papers in Neurology. Recurrent topics in Eleanor K. Pickett's work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Eleanor K. Pickett is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Eleanor K. Pickett collaborates with scholars based in United Kingdom, Spain and Colombia. Eleanor K. Pickett's co-authors include Tara L. Spires‐Jones, Christopher M. Henstridge, Declan King, Jamie Rose, Chris-Anne McKenzie, Thomas H. Gillingwater, Colin Smith, Susanne Wegmann, Bradley T. Hyman and Abigail G. Herrmann and has published in prestigious journals such as European Journal of Neuroscience, Acta Neuropathologica and Ageing Research Reviews.

In The Last Decade

Eleanor K. Pickett

6 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eleanor K. Pickett United Kingdom	6	227	153	132	82	51	8	356
Erik G. Gentry United States	6	246 1.1×	170 1.1×	163 1.2×	76 0.9×	57 1.1×	7	439
Levi M. Smith United States	8	253 1.1×	161 1.1×	169 1.3×	90 1.1×	75 1.5×	9	405
Kelsey M. Greathouse United States	10	203 0.9×	186 1.2×	113 0.9×	87 1.1×	49 1.0×	15	413
An Schreurs Belgium	5	162 0.7×	116 0.8×	94 0.7×	61 0.7×	39 0.8×	7	293
Debajyoti Das India	5	191 0.8×	135 0.9×	130 1.0×	64 0.8×	51 1.0×	7	355
Fabrizio Biundo United States	12	234 1.0×	137 0.9×	164 1.2×	142 1.7×	65 1.3×	20	467
Hameetha B. Rajamohamedsait United States	7	230 1.0×	114 0.7×	87 0.7×	126 1.5×	57 1.1×	12	329
Benjamin D. Boros United States	7	168 0.7×	129 0.8×	114 0.9×	73 0.9×	40 0.8×	7	348
Nicole L. Bjorklund United States	12	152 0.7×	159 1.0×	144 1.1×	63 0.8×	33 0.6×	15	399
David Demedts Belgium	9	288 1.3×	114 0.7×	181 1.4×	93 1.1×	68 1.3×	10	414

Countries citing papers authored by Eleanor K. Pickett

Since Specialization

Citations

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

Fields of papers citing papers by Eleanor K. Pickett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleanor K. Pickett

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

All Works

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8 of 8 papers shown

Tulloch, Jane, Eleanor K. Pickett, Abigail G. Herrmann, et al.. (2020). Maintained memory and long‐term potentiation in a mouse model of Alzheimer's disease with both amyloid pathology and human tau. European Journal of Neuroscience. 53(2). 637–648. 6 indexed citations

Calia, Clara, et al.. (2020). Functional assessment of cognitively impaired older adults: Are we asking the right questions?. Alzheimer s & Dementia. 16(S6).

Calia, Clara, et al.. (2020). Does feature binding account for functional decline in patients with mild cognitive impairment? Evidence from the Details of Function of Everyday Life Questionnaire (DoFEL). Alzheimer s & Dementia. 16(S6).

Pickett, Eleanor K., Jamie Rose, Chris-Anne McKenzie, et al.. (2018). Region-specific depletion of synaptic mitochondria in the brains of patients with Alzheimer’s disease. Acta Neuropathologica. 136(5). 747–757. 98 indexed citations

Infante‐Garcia, Carmen, Juan José Ramos‐Rodríguez, Carmen Hierro‐Bujalance, et al.. (2017). Antidiabetic Polypill Improves Central Pathology and Cognitive Impairment in a Mixed Model of Alzheimer’s Disease and Type 2 Diabetes. Molecular Neurobiology. 55(7). 6130–6144. 33 indexed citations

Pickett, Eleanor K., Christopher M. Henstridge, Elizabeth Allison, et al.. (2017). Spread of tau down neural circuits precedes synapse and neuronal loss in the rTgTauEC mouse model of early Alzheimer's disease. Synapse. 71(6). 45 indexed citations

Henstridge, Christopher M., Eleanor K. Pickett, & Tara L. Spires‐Jones. (2016). Synaptic pathology: A shared mechanism in neurological disease. Ageing Research Reviews. 28. 72–84. 110 indexed citations

Pickett, Eleanor K., Robert M. Koffie, Susanne Wegmann, et al.. (2016). Non-Fibrillar Oligomeric Amyloid-β within Synapses. Journal of Alzheimer s Disease. 53(3). 787–800. 64 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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