Jyoti Khadka

4.3k total citations · 1 hit paper
119 papers, 2.9k citations indexed

About

Jyoti Khadka is a scholar working on Ophthalmology, Epidemiology and General Health Professions. According to data from OpenAlex, Jyoti Khadka has authored 119 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Ophthalmology, 47 papers in Epidemiology and 46 papers in General Health Professions. Recurrent topics in Jyoti Khadka's work include Ophthalmology and Visual Impairment Studies (45 papers), Geriatric Care and Nursing Homes (27 papers) and Health Systems, Economic Evaluations, Quality of Life (25 papers). Jyoti Khadka is often cited by papers focused on Ophthalmology and Visual Impairment Studies (45 papers), Geriatric Care and Nursing Homes (27 papers) and Health Systems, Economic Evaluations, Quality of Life (25 papers). Jyoti Khadka collaborates with scholars based in Australia, Singapore and United Kingdom. Jyoti Khadka's co-authors include Konrad Pesudovs, Colm McAlinden, Ecosse L. Lamoureux, Eva Fenwick, Julie Ratcliffe, Himal Kandel, Vijaya K. Gothwal, Mallika Prem Senthil, Michael Goggin and Barbara Ryan and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Social Science & Medicine.

In The Last Decade

Jyoti Khadka

106 papers receiving 2.8k citations

Hit Papers

Statistical methods for conducting agreement (comparison ... 2011 2026 2016 2021 2011 100 200 300

Peers

Jyoti Khadka
Eva Fenwick Singapore
Joshua R. Ehrlich United States
Ling Jin China
Jill Carlton United Kingdom
Mohamed Dirani Australia
Varshini Varadaraj United States
Eva Fenwick Singapore
Jyoti Khadka
Citations per year, relative to Jyoti Khadka Jyoti Khadka (= 1×) peers Eva Fenwick

Countries citing papers authored by Jyoti Khadka

Since Specialization
Citations

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

Fields of papers citing papers by Jyoti Khadka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti Khadka

This figure shows the co-authorship network connecting the top 25 collaborators of Jyoti Khadka. A scholar is included among the top collaborators of Jyoti Khadka 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 Jyoti Khadka. Jyoti Khadka 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.
Caughey, Gillian E., Maria Crotty, Helena Williams, et al.. (2025). Variation in healthcare services utilization and continuity of care in long-term care facilities: a cross-sectional study. BMC Health Services Research. 25(1). 1216–1216.
3.
Milte, Rachel, Julie Ratcliffe, Claire Hutchinson, et al.. (2024). Public Attitudes for Quality and Funding of Long‐Term Care: Findings from an Australian Survey. Health & Social Care in the Community. 2024(1).
4.
Toson, Barbara, Laura C. Edney, Hossein Haji Ali Afzali, et al.. (2024). Economic burden of frailty in older adults accessing community‐based aged care services in Australia. Geriatrics and gerontology international. 24(9). 939–947. 1 indexed citations
5.
Hutchinson, Claire, Jyoti Khadka, Matthew Crocker, et al.. (2024). Examining interrater agreement between self-report and proxy-report responses for the quality of life-aged care consumers (QOL-ACC) instrument. Journal of Patient-Reported Outcomes. 8(1). 28–28. 2 indexed citations
6.
Poudel, Pramod, et al.. (2024). Increase use of contact lenses for optical correction. Journal of Institute of Medicine Nepal. 28(1). 16–19.
7.
Caughey, Gillian E., Maria Crotty, Helena Williams, et al.. (2024). Primary, allied health, selected specialists, and mental health service utilisation by home care recipients in Australia before and after accessing the care, 2017–2019. Aging Clinical and Experimental Research. 36(1). 83–83. 2 indexed citations
8.
Khadka, Jyoti, Julie Ratcliffe, Claire Hutchinson, et al.. (2022). Assessing the construct validity of the Quality-of-Life-Aged Care Consumers (QOL-ACC): an aged care-specific quality-of-life measure. Quality of Life Research. 31(9). 2849–2865. 11 indexed citations
9.
Kandel, Himal, Jyoti Khadka, Stephanie L. Watson, Eva Fenwick, & Konrad Pesudovs. (2021). Item banks for measurement of refractive error‐specific quality of life. Ophthalmic and Physiological Optics. 41(3). 591–602. 17 indexed citations
10.
Pesudovs, Konrad, Jyoti Khadka, Mallika Prem Senthil, et al.. (2018). Disease-specificity and internationalisation of ophthalmic quality of life item banks. Investigative Ophthalmology & Visual Science. 59(9). 4145–4145. 1 indexed citations
11.
Kandel, Himal, et al.. (2017). Living experiences of people with refractive error: A qualitative study from Nepal. Investigative Ophthalmology & Visual Science. 58(8). 3420–3420. 3 indexed citations
12.
Huang, Jinhai, Jyoti Khadka, Rongrong Gao, et al.. (2016). Validation of an instrument to assess visual ability in children with visual impairment in China. British Journal of Ophthalmology. 101(4). 475–480. 5 indexed citations
13.
Khadka, Jyoti, Eva Fenwick, Ecosse L. Lamoureux, & Konrad Pesudovs. (2016). Item Banking Enables Stand‐Alone Measurement of Driving Ability. Optometry and Vision Science. 93(12). 1502–1512. 22 indexed citations
14.
Khadka, Jyoti, Eva Fenwick, Ecosse L. Lamoureux, & Konrad Pesudovs. (2016). Methods to Develop the Eye‐tem Bank to Measure Ophthalmic Quality of Life. Optometry and Vision Science. 93(12). 1485–1494. 46 indexed citations
15.
Khadka, Jyoti, et al.. (2016). Development of a Keratoconus‐Specific Questionnaire Using Rasch Analysis. Optometry and Vision Science. 94(3). 395–403. 31 indexed citations
16.
Mollazadegan, Kaziwe, Jinhai Huang, Jyoti Khadka, et al.. (2014). Cross-cultural validation of the National Eye Institute Visual Function Questionnaire. Journal of Cataract & Refractive Surgery. 40(5). 774–784. 30 indexed citations
17.
Pesudovs, Konrad, Jyoti Khadka, Eva Fenwick, & Ecosse L. Lamoureux. (2013). Rasch analysis of the glaucoma-specific module of the Eye-tem Bank project. Investigative Ophthalmology & Visual Science. 54(15). 5313–5313. 1 indexed citations
18.
Khadka, Jyoti, Vijaya K. Gothwal, Colm McAlinden, Ecosse L. Lamoureux, & Konrad Pesudovs. (2012). The importance of rating scales in measuring patient-reported outcomes. Health and Quality of Life Outcomes. 10(1). 80–80. 116 indexed citations
19.
Fenwick, Eva, Konrad Pesudovs, Jyoti Khadka, et al.. (2012). Evaluation of item candidates for a diabetic retinopathy quality of life item bank. Quality of Life Research. 22(7). 1851–1858. 32 indexed citations
20.
Khadka, Jyoti, et al.. (2011). Reengineering the Glaucoma Quality of Life-15 Questionnaire with Rasch Analysis. Investigative Ophthalmology & Visual Science. 52(9). 6971–6971. 79 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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