Eneida Mioshi

10.7k total citations · 3 hit papers
144 papers, 7.5k citations indexed

About

Eneida Mioshi is a scholar working on Psychiatry and Mental health, Neurology and Physiology. According to data from OpenAlex, Eneida Mioshi has authored 144 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Psychiatry and Mental health, 57 papers in Neurology and 36 papers in Physiology. Recurrent topics in Eneida Mioshi's work include Dementia and Cognitive Impairment Research (80 papers), Amyotrophic Lateral Sclerosis Research (48 papers) and Alzheimer's disease research and treatments (34 papers). Eneida Mioshi is often cited by papers focused on Dementia and Cognitive Impairment Research (80 papers), Amyotrophic Lateral Sclerosis Research (48 papers) and Alzheimer's disease research and treatments (34 papers). Eneida Mioshi collaborates with scholars based in United Kingdom, Australia and United States. Eneida Mioshi's co-authors include John R. Hodges, John R. Hodges, Kate Dawson, Sharpley Hsieh, Michael Hornberger, Robert Arnold, Joanna Mitchell, Matthew C. Kiernan, Olivier Piguet and Patricia Lillo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Psychiatry.

In The Last Decade

Eneida Mioshi

136 papers receiving 7.3k citations

Hit Papers

The Addenbrooke's Cognitive Examination Revised (ACE‐R): ... 2006 2026 2012 2019 2006 2013 2017 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eneida Mioshi United Kingdom 39 3.5k 3.1k 1.8k 1.8k 773 144 7.5k
Morris Freedman Canada 46 5.0k 1.4× 2.9k 0.9× 2.9k 1.6× 4.5k 2.5× 678 0.9× 164 11.3k
Ulla Passant Sweden 26 3.7k 1.0× 2.7k 0.9× 3.0k 1.7× 1.7k 0.9× 268 0.3× 62 6.9k
Leonard van den Berg United States 30 6.0k 1.7× 1.2k 0.4× 3.0k 1.7× 2.0k 1.1× 531 0.7× 65 9.3k
Lars Gustafson Sweden 42 5.1k 1.4× 3.2k 1.0× 4.1k 2.3× 2.2k 1.2× 419 0.5× 183 10.6k
Keith W. Boone United States 13 3.0k 0.8× 1.9k 0.6× 2.2k 1.2× 1.8k 1.0× 275 0.4× 20 5.6k
Gabriella Santangelo Italy 51 1.9k 0.6× 5.0k 1.6× 622 0.3× 2.3k 1.3× 854 1.1× 240 8.2k
Julene K. Johnson United States 40 2.8k 0.8× 1.5k 0.5× 2.0k 1.1× 2.6k 1.5× 242 0.3× 117 6.4k
Kate Dawson United Kingdom 18 2.1k 0.6× 1.2k 0.4× 1.2k 0.7× 1.2k 0.7× 362 0.5× 39 4.1k
Tiffany W. Chow Canada 37 1.8k 0.5× 1.1k 0.3× 1.4k 0.8× 1.1k 0.6× 397 0.5× 95 4.3k
Edith Kaplan United States 44 5.0k 1.4× 1.2k 0.4× 1.2k 0.7× 6.9k 3.8× 712 0.9× 86 12.8k

Countries citing papers authored by Eneida Mioshi

Since Specialization
Citations

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

Fields of papers citing papers by Eneida Mioshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eneida Mioshi

This figure shows the co-authorship network connecting the top 25 collaborators of Eneida Mioshi. A scholar is included among the top collaborators of Eneida Mioshi 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 Eneida Mioshi. Eneida Mioshi 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
1.
Radaković, Ratko, Eneida Mioshi, D J Dick, et al.. (2025). Impact of apathy over the course of disease in amyotrophic lateral sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 26(5-6). 516–525.
2.
Flanagan, Emma, et al.. (2024). Implementation of the MiNDToolkit intervention for the management of behavioral symptoms in MND by healthcare professionals: a mixed-methods process evaluation. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 25(5-6). 496–505. 3 indexed citations
4.
Khondoker, Mizanur, et al.. (2024). Factors affecting anticipatory grief of family carers supporting people living with Motor Neurone disease: the impact of disease symptomatology. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 25(7-8). 776–784. 2 indexed citations
5.
Mioshi, Eneida, et al.. (2024). The role of experiential avoidance and cognitive fusion in the development of anxiety symptoms among family carers of people with dementia. Research Portal (King's College London). 34(1). 100482–100482. 2 indexed citations
7.
Mioshi, Eneida, et al.. (2024). ‘A lightbulb moment’: carers’ experiences of behavioural symptoms in motor neurone disease before and after MiNDToolkit. BMC Neurology. 24(1). 238–238. 2 indexed citations
9.
Mioshi, Eneida, Kelly Grant, Emma Flanagan, et al.. (2024). An online intervention for carers to manage behavioral symptoms in motor neuron disease (MiNDToolkit): a randomized parallel multi-center feasibility trial. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 25(5-6). 506–516. 3 indexed citations
11.
12.
Kumfor, Fiona, Jessica L. Hazelton, Cristian E. Leyton, et al.. (2022). Examining the presence and nature of delusions in Alzheimer's disease and frontotemporal dementia syndromes. International Journal of Geriatric Psychiatry. 37(3). 3 indexed citations
13.
Turró‐Garriga, Oriol, Josep L. Conde‐Sala, Antoni Turon Estrada, et al.. (2019). Antonovsky’s sense of coherence and resistance resources reduce perception of burden in family carers of people with Alzheimer’s disease. Aging & Mental Health. 24(10). 1717–1725. 14 indexed citations
14.
O’Connor, Claire, Lindy Clemson, Henry Brodaty, et al.. (2017). The tailored activity program (TAP) to address behavioral disturbances in frontotemporal dementia: a feasibility and pilot study. Disability and Rehabilitation. 41(3). 299–310. 40 indexed citations
15.
Kamminga, Jody, Felicity Leslie, Sharpley Hsieh, et al.. (2016). Syntactic comprehension deficits across the FTD-ALS continuum. Neurobiology of Aging. 41. 11–18. 26 indexed citations
16.
Bahia, Valéria Santoro, Viviane Amaral Carvalho, Henrique Cerqueira Guimarães, et al.. (2016). Cross-cultural Adaptation and Validity of the Brazilian version of the Clinical staging scale and disease progression in frontotemporal dementia. Journal of Neurochemistry. 138. 301–301.
17.
Alladi, Suvarna, Thomas H. Bak, Shailaja Mekala, et al.. (2015). Impact of Bilingualism on Cognitive Outcome After Stroke. Stroke. 47(1). 258–261. 94 indexed citations
18.
Mioshi, Eneida, Sharpley Hsieh, Jashelle Caga, et al.. (2014). A novel tool to detect behavioural symptoms in ALS. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration. 15(3-4). 298–304. 52 indexed citations
19.
Lillo, Patricia, Eneida Mioshi, James R. Burrell, et al.. (2012). Grey and White Matter Changes across the Amyotrophic Lateral Sclerosis-Frontotemporal Dementia Continuum. PLoS ONE. 7(8). e43993–e43993. 155 indexed citations
20.
Mioshi, Eneida, et al.. (2012). Improving Burden and Coping Skills in Frontotemporal Dementia Caregivers. Alzheimer Disease & Associated Disorders. 27(1). 84–86. 42 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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