Aditya U. Kale

2.1k total citations · 1 hit paper
20 papers, 1.1k citations indexed

About

Aditya U. Kale is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Health Informatics. According to data from OpenAlex, Aditya U. Kale has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Ophthalmology, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Health Informatics. Recurrent topics in Aditya U. Kale's work include Retinal and Optic Conditions (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Retinal Diseases and Treatments (6 papers). Aditya U. Kale is often cited by papers focused on Retinal and Optic Conditions (7 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Retinal Diseases and Treatments (6 papers). Aditya U. Kale collaborates with scholars based in United Kingdom, United States and Switzerland. Aditya U. Kale's co-authors include Alastair K. Denniston, Xiaoxuan Liu, Pearse A. Keane, Livia Faes, Gabriella Moraes, Lucas M. Bachmann, Siegfried K. Wagner, Konstantinos Balaskas, Mohith Shamdas and Alice Bruynseels and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMJ and BMJ Open.

In The Last Decade

Aditya U. Kale

17 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

2019 1.0k citations Xiaoxuan Liu, Livia Faes et al. The Lancet Digital Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aditya U. Kale United Kingdom	6	515	459	369	137	116	20	1.1k
Alice Bruynseels United Kingdom	6	513 1.0×	452 1.0×	368 1.0×	130 0.9×	109 0.9×	10	1.1k
Mohith Shamdas United Kingdom	6	478 0.9×	452 1.0×	368 1.0×	130 0.9×	82 0.7×	10	1.1k
Thushika Mahendiran United Kingdom	1	470 0.9×	447 1.0×	367 1.0×	129 0.9×	50 0.4×	2	1.0k
Joseph R. Ledsam United Kingdom	8	725 1.4×	496 1.1×	491 1.3×	194 1.4×	85 0.7×	14	1.9k
Gabriella Moraes United Kingdom	12	883 1.7×	510 1.1×	481 1.3×	158 1.2×	375 3.2×	22	1.6k
Luke Oakden‐Rayner Australia	13	490 1.0×	551 1.2×	528 1.4×	157 1.1×	28 0.2×	18	1.4k
Mustafa Suleyman United Kingdom	6	463 0.9×	672 1.5×	511 1.4×	119 0.9×	32 0.3×	6	1.4k
Christoph Kern Germany	14	983 1.9×	494 1.1×	449 1.2×	158 1.2×	539 4.6×	36	1.8k
Christopher A. Lovejoy United Kingdom	9	306 0.6×	335 0.7×	238 0.6×	65 0.5×	28 0.2×	14	844
John R. Zech United States	12	722 1.4×	504 1.1×	618 1.7×	217 1.6×	24 0.2×	29	1.6k

Countries citing papers authored by Aditya U. Kale

Since Specialization

Citations

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

Fields of papers citing papers by Aditya U. Kale

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aditya U. Kale. 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 Aditya U. Kale. The network helps show where Aditya U. Kale may publish in the future.

Co-authorship network of co-authors of Aditya U. Kale

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

All Works

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20 of 20 papers shown

Ong, Ariel Yuhan, Aditya U. Kale, Eliot R. Dow, et al.. (2025). A scoping review of artificial intelligence as a medical device for ophthalmic image analysis in Europe, Australia and America. npj Digital Medicine. 8(1). 323–323. 6 indexed citations

Evans, T.R. Jeffry, Omer F. Ahmad, Joseph Alderman, et al.. (2025). The role of procurement frameworks in responsible AI innovation in the National Health Service: a multi-stakeholder perspective. Frontiers in Health Services. 5. 1608087–1608087.

Kale, Aditya U., Xiaoxuan Liu, Elinor Laws, et al.. (2025). Retinal Perfusion and Injury in Sepsis and after Major Surgery. Ophthalmology Science. 6(1). 100890–100890.

Sundaram, Sridhar, et al.. (2025). Modified low-cost EndoVac is safe and efficacious for treatment of postoperative leaks even at low pressures. Surgical Endoscopy. 39(8). 4857–4862.

Deeks, Jonathan J, Joseph Alderman, Aditya U. Kale, et al.. (2025). Direct-to-consumer self-tests sold in the UK in 2023: cross sectional review of regulation and evidence of performance. BMJ. 390. e085547–e085547. 3 indexed citations

Richter, Alex, Ridhi Agarwal, Simon Baldwin, et al.. (2025). Direct-to-consumer self-tests sold in the UK in 2023: cross sectional review of information on intended use, instructions for use, and post-test decision making. BMJ. 390. e085546–e085546. 2 indexed citations

Kale, Aditya U., Henry David Jeffry Hogg, Ben Glocker, et al.. (2024). AI as a Medical Device Adverse Event Reporting in Regulatory Databases: Protocol for a Systematic Review. JMIR Research Protocols. 13. e48156–e48156. 1 indexed citations

Ong, Ariel Yuhan, Henry David Jeffry Hogg, Aditya U. Kale, et al.. (2024). AI as a Medical Device for Ophthalmic Imaging in Europe, Australia, and the United States: Protocol for a Systematic Scoping Review of Regulated Devices. JMIR Research Protocols. 13. e52602–e52602. 5 indexed citations

Kale, Aditya U., Henry David Jeffry Hogg, Ben Glocker, et al.. (2024). Detecting Algorithmic Errors and Patient Harms for AI-Enabled Medical Devices in Randomized Controlled Trials: Protocol for a Systematic Review. JMIR Research Protocols. 13. e51614–e51614. 2 indexed citations

10.

Kale, Aditya U., Andrew C. Mills, Emily J. Guggenheim, et al.. (2023). A Datasheet for the INSIGHT Birmingham, Solihull, and Black Country Diabetic Retinopathy Screening Dataset. SHILAP Revista de lepidopterología. 3(3). 100293–100293. 1 indexed citations

11.

Gilani, Ahmed, Aditya U. Kale, Xiaoxuan Liu, et al.. (2023). Reliability of Optical Coherence Tomography Angiography Retinal Blood Flow Analyses. Translational Vision Science & Technology. 12(7). 3–3. 5 indexed citations

12.

Liu, Xiaoxuan, Aditya U. Kale, Giovanni Ometto, et al.. (2022). OCT Assisted Quantification of Vitreous Inflammation in Uveitis. Translational Vision Science & Technology. 11(1). 3–3. 12 indexed citations

13.

Kale, Aditya U., Xiaoxuan Liu, Pearse A. Keane, et al.. (2022). Measuring Inflammation in the Vitreous and Retina: A Narrative Review. Ocular Immunology and Inflammation. 31(4). 768–777. 1 indexed citations

14.

Denniston, Alastair K., Aditya U. Kale, Wen‐Hwa Lee, Susan P. Mollan, & Pearse A. Keane. (2022). Building trust in real-world data: lessons from INSIGHT, the UK's health data research hub for eye health and oculomics. Current Opinion in Ophthalmology. 33(5). 399–406. 5 indexed citations

15.

Kale, Aditya U., et al.. (2021). Sudden onset peripheral visual deficit secondary to retinal artery spasm in Raynaud’s phenomenon. BMJ Case Reports. 14(2). e239954–e239954. 1 indexed citations

16.

Kale, Aditya U., Xiaoxuan Liu, Jonathan Bishop, et al.. (2021). Stability of OCT and OCTA in the Intensive Therapy Unit Setting. Diagnostics. 11(8). 1516–1516. 5 indexed citations

17.

Liu, Xiaoxuan, Aditya U. Kale, Nick P. Talbot, et al.. (2019). Optical coherence tomography (OCT) in unconscious and systemically unwell patients using a mobile OCT device: a pilot study. BMJ Open. 9(11). e030882–e030882. 24 indexed citations

18.

Liu, Xiaoxuan, Livia Faes, Aditya U. Kale, et al.. (2019). A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. The Lancet Digital Health. 1(6). e271–e297. 1020 indexed citations breakdown →

19.

Faes, Livia, Xiaoxuan Liu, Aditya U. Kale, et al.. (2019). Deep Learning Under Scrutiny: Performance Against Health Care Professionals in Detecting Diseases from Medical Imaging - Systematic Review and Meta-Analysis. SSRN Electronic Journal. 14 indexed citations

20.

Liu, Xiaoxuan, Ameenat Lola Solebo, Livia Faes, et al.. (2019). Instrument-based Tests for Measuring Anterior Chamber Cells in Uveitis: A Systematic Review. Ocular Immunology and Inflammation. 28(6). 898–907. 17 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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