Naoko Kishita

1.5k total citations
53 papers, 964 citations indexed

About

Naoko Kishita is a scholar working on Clinical Psychology, Psychiatry and Mental health and Sociology and Political Science. According to data from OpenAlex, Naoko Kishita has authored 53 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Clinical Psychology, 26 papers in Psychiatry and Mental health and 14 papers in Sociology and Political Science. Recurrent topics in Naoko Kishita's work include Dementia and Cognitive Impairment Research (26 papers), Family Caregiving in Mental Illness (19 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers). Naoko Kishita is often cited by papers focused on Dementia and Cognitive Impairment Research (26 papers), Family Caregiving in Mental Illness (19 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (10 papers). Naoko Kishita collaborates with scholars based in United Kingdom, Japan and United States. Naoko Kishita's co-authors include Rebecca Collins, Eneida Mioshi, Ken Laidlaw, Tamara Backhouse, Ian Stewart, Yuko Takei, Susan D. Shenkin, Mick Power, Laura Hammond and Hironori Shimada and has published in prestigious journals such as Clinical Psychology Review, Journal of Affective Disorders and The Gerontologist.

In The Last Decade

Naoko Kishita

50 papers receiving 938 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naoko Kishita United Kingdom 17 529 429 232 189 184 53 964
Sylke Andreas Germany 16 623 1.2× 322 0.8× 214 0.9× 326 1.7× 90 0.5× 63 1.2k
Sunil Bhar Australia 21 708 1.3× 230 0.5× 280 1.2× 243 1.3× 105 0.6× 88 1.2k
Eva Dierckx Belgium 20 631 1.2× 330 0.8× 159 0.7× 124 0.7× 97 0.5× 86 1.3k
Areum Han United States 17 332 0.6× 276 0.6× 193 0.8× 95 0.5× 98 0.5× 74 743
Virginia Fernández-Fernández Spain 12 318 0.6× 194 0.5× 161 0.7× 144 0.8× 117 0.6× 21 604
Aaron M. Eakman United States 19 283 0.5× 222 0.5× 252 1.1× 178 0.9× 55 0.3× 55 1.0k
Thomas Fydrich Germany 16 597 1.1× 175 0.4× 139 0.6× 195 1.0× 75 0.4× 52 980
Christine Neville Australia 19 400 0.8× 315 0.7× 335 1.4× 121 0.6× 99 0.5× 71 1.1k
Jana Volkert Germany 14 572 1.1× 161 0.4× 84 0.4× 210 1.1× 63 0.3× 48 888
Kate Davidson United Kingdom 22 1.1k 2.0× 394 0.9× 141 0.6× 240 1.3× 72 0.4× 46 1.6k

Countries citing papers authored by Naoko Kishita

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Kishita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Kishita

This figure shows the co-authorship network connecting the top 25 collaborators of Naoko Kishita. A scholar is included among the top collaborators of Naoko Kishita 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 Naoko Kishita. Naoko Kishita 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
3.
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
4.
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
6.
8.
Backhouse, Tamara, et al.. (2023). Factors associated with grief in informal carers of people living with Motor Neuron Disease: A mixed methods systematic review. Death Studies. 48(2). 103–117. 6 indexed citations
9.
Losada‐Baltar, Andrés, Naoko Kishita, Lucía Jiménez‐Gonzalo, et al.. (2022). Cross-cultural analysis of the role of ambivalent feelings for understanding caregivers’ depressive symptoms. Aging & Mental Health. 27(7). 1307–1312. 6 indexed citations
10.
Mariano, Luciano Inácio, et al.. (2022). Effects of group Acceptance and Commitment Therapy (ACT) on anxiety and depressive symptoms in adults: A meta-analysis. Journal of Affective Disorders. 309. 297–308. 33 indexed citations
11.
Khondoker, Mizanur, et al.. (2022). Factors affecting the quality of life of family carers of people with dementia: the role of carer anxiety. Psychology Health & Medicine. 28(4). 843–853. 1 indexed citations
12.
Khondoker, Mizanur, et al.. (2022). Contributions of Caregiver Management Styles to the Discrepancy Between Reported and Observed Task Performance in People with Dementia. Journal of Alzheimer s Disease. 88(4). 1605–1614. 4 indexed citations
13.
Farquhar, Morag, Lance M. McCracken, Rebecca L. Gould, et al.. (2022). Internet-delivered guided self-help Acceptance and Commitment Therapy for family carers of people with dementia (iACT4CARERS): a qualitative study of carer views and acceptability. International Journal of Qualitative Studies on Health and Well-Being. 17(1). 2066255–2066255. 17 indexed citations
14.
Kishita, Naoko, Rebecca L. Gould, Morag Farquhar, et al.. (2021). Internet-delivered guided self-help acceptance and commitment therapy for family carers of people with dementia (iACT4CARERS): a feasibility study. Aging & Mental Health. 26(10). 1933–1941. 19 indexed citations
15.
Mioshi, Eneida, et al.. (2021). Factors predicting quality of life in family carers of people with dementia: The role of psychological inflexibility. Journal of Contextual Behavioral Science. 22. 7–12. 7 indexed citations
16.
Cabrera, Isabel, María Márquez‐González, Naoko Kishita, Carlos Vara‐García, & Andrés Losada‐Baltar. (2020). Development and Validation of an Implicit Relational Assessment Procedure (IRAP) to Measure Implicit Dysfunctional Beliefs about Caregiving in Dementia Family Caregivers. The Psychological Record. 71(1). 41–54. 9 indexed citations
17.
Kishita, Naoko, et al.. (2020). Cognitive Behavioural Therapy Competence of Japanese Trainees: A Comparison with UK Trainees. UEA Digital Repository (University of East Anglia). 46(3). 155–165.
18.
Kishita, Naoko & Ken Laidlaw. (2017). Cognitive behaviour therapy for generalized anxiety disorder: Is CBT equally efficacious in adults of working age and older adults?. Clinical Psychology Review. 52. 124–136. 53 indexed citations
19.
Laidlaw, Ken & Naoko Kishita. (2015). Age-Appropriate Augmented Cognitive Behavior Therapy to Enhance Treatment Outcome for Late-Life Depression and Anxiety Disorders. GeroPsych. 28(2). 57–66. 16 indexed citations
20.
Kishita, Naoko, et al.. (2012). Behavioral assessment methodology for cognitive defusion: Testing the utility of the Implicit Relational Assessment Procedure (2010). UEA Digital Repository (University of East Anglia). 2 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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