Simon Nusinovici

2.6k total citations · 1 hit paper
66 papers, 1.4k citations indexed

About

Simon Nusinovici is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Simon Nusinovici has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Ophthalmology and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Simon Nusinovici's work include Retinal Imaging and Analysis (28 papers), Retinal Diseases and Treatments (20 papers) and Glaucoma and retinal disorders (12 papers). Simon Nusinovici is often cited by papers focused on Retinal Imaging and Analysis (28 papers), Retinal Diseases and Treatments (20 papers) and Glaucoma and retinal disorders (12 papers). Simon Nusinovici collaborates with scholars based in Singapore, France and United Kingdom. Simon Nusinovici's co-authors include Charumathi Sabanayagam, Ching‐Yu Cheng, Yih Chung Tham, Tien Yin Wong, Daniel Shu Wei Ting, Jialiang Li, François Beaudeau, Christine Fourichon, Alain Joly and Stefan Widgrén and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Simon Nusinovici

63 papers receiving 1.4k 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.

Logistic regression was as good as machine learning for predicting major chronic diseases

2020 339 citations Simon Nusinovici, Yih Chung Tham et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Simon Nusinovici Singapore	19	443	355	179	148	139	66	1.4k
Shefali Parikh India	8	384 0.9×	429 1.2×	32 0.2×	94 0.6×	104 0.7×	16	1.5k
Bo Zhang United States	25	282 0.6×	192 0.5×	28 0.2×	64 0.4×	121 0.9×	226	2.4k
Annie Mathai India	21	481 1.1×	849 2.4×	32 0.2×	93 0.6×	135 1.0×	58	2.0k
G. Chandra Sekhar India	14	559 1.3×	738 2.1×	32 0.2×	97 0.7×	139 1.0×	25	1.9k
Rajul Parikh India	20	905 2.0×	1.2k 3.3×	33 0.2×	96 0.6×	172 1.2×	58	2.3k
Qi Gao China	34	389 0.9×	268 0.8×	19 0.1×	52 0.4×	945 6.8×	132	3.5k
Daniel M. Stein United States	24	451 1.0×	526 1.5×	194 1.1×	59 0.4×	286 2.1×	46	1.9k
Jingjing Chen China	26	542 1.2×	442 1.2×	26 0.1×	90 0.6×	171 1.2×	191	3.1k
Marco Carone United States	25	209 0.5×	38 0.1×	57 0.3×	191 1.3×	200 1.4×	81	2.0k
Jennifer L. Smith United Kingdom	14	768 1.7×	945 2.7×	43 0.2×	15 0.1×	234 1.7×	23	3.0k

Countries citing papers authored by Simon Nusinovici

Since Specialization

Citations

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

Fields of papers citing papers by Simon Nusinovici

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Nusinovici

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Nusinovici. A scholar is included among the top collaborators of Simon Nusinovici 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 Simon Nusinovici. Simon Nusinovici 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

Thakur, Sahil, et al.. (2026). Artificial intelligence based retinal imaging for cardiovascular risk and statin guidance in retinal vein occlusion. American Journal of Preventive Cardiology. 26. 101427–101427.

Goh, Jocelyn Hui Lin, Xiaofeng Lei, Miao-Li Chee, et al.. (2025). Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract Detection. Ophthalmology Science. 5(6). 100837–100837.

Peng, Qingsheng, Tyler Hyungtaek Rim, Zhi Da Soh, et al.. (2025). Predictive Potential of Retina‐Based Biological Age in Assessing Chronic Obstructive Pulmonary Disease Risk. Clinical and Experimental Ophthalmology. 53(4). 402–408. 2 indexed citations

Tham, Yih Chung, Simon Nusinovici, Ten Cheer Quek, et al.. (2025). A deep‐learning retinal aging biomarker for cognitive decline and incident dementia. Alzheimer s & Dementia. 21(3). e14601–e14601. 1 indexed citations

Nusinovici, Simon, Tyler Hyungtaek Rim, Hengtong Li, et al.. (2024). Application of a deep-learning marker for morbidity and mortality prediction derived from retinal photographs: a cohort development and validation study. The Lancet Healthy Longevity. 5(10). 100593–100593. 15 indexed citations

Nusinovici, Simon, Marco Yu, Miao-Li Chee, et al.. (2024). Associations between shorter leucocyte telomere length and increased risk of age-related macular degeneration in women: insights from the United Kingdom Biobank study. Eye. 39(6). 1146–1152. 2 indexed citations

Nusinovici, Simon, et al.. (2024). Development and External Validation of Machine Learning Models for Diabetic Microvascular Complications: Cross-Sectional Study With Metabolites. Journal of Medical Internet Research. 26. e41065–e41065. 11 indexed citations

Majithia, Shivani, Crystal Chun Yuen Chong, Miao Li Chee, et al.. (2023). Associations between Chronic Kidney Disease and Thinning of Neuroretinal Layers in Multiethnic Asian and White Populations. SHILAP Revista de lepidopterología. 4(1). 100353–100353. 4 indexed citations

Vasseneix, Caroline, Simon Nusinovici, Xinxing Xu, et al.. (2023). Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities. Journal of Neuro-Ophthalmology. 43(2). 159–167. 8 indexed citations

10.

Cichońska, Anna, Charumathi Sabanayagam, Simon Nusinovici, et al.. (2022). Circulating Metabolic Biomarkers Are Consistently Associated With Type 2 Diabetes Risk in Asian and European Populations. The Journal of Clinical Endocrinology & Metabolism. 107(7). e2751–e2761. 16 indexed citations

11.

Nusinovici, Simon, Hengtong Li, Sahil Thakur, et al.. (2021). High-Density Lipoprotein 3 Cholesterol and Primary Open-Angle Glaucoma. Ophthalmology. 129(3). 285–294. 25 indexed citations

12.

Chee, Miao Li, Rachel Marjorie Wei Wen Tseng, Shivani Majithia, et al.. (2021). COVID-19 awareness, knowledge and perception towards digital health in an urban multi-ethnic Asian population. Scientific Reports. 11(1). 10795–10795. 25 indexed citations

13.

Rim, Tyler Hyungtaek, Zhi Da Soh, Yih Chung Tham, et al.. (2020). Deep Learning for Automated Sorting of Retinal Photographs. Ophthalmology Retina. 4(8). 793–800. 13 indexed citations

14.

Wong, Mark Yu Zheng, Dinesh Visva Gunasekeran, Simon Nusinovici, et al.. (2020). Telehealth Demand Trends During the COVID-19 Pandemic in the Top 50 Most Affected Countries: Infodemiological Evaluation. JMIR Public Health and Surveillance. 7(2). e24445–e24445. 86 indexed citations

15.

Nusinovici, Simon, Liang Zhang, Xiaoran Chai, et al.. (2020). Machine learning to determine relative contribution of modifiable and non-modifiable risk factors of major eye diseases. British Journal of Ophthalmology. 106(2). 267–274. 12 indexed citations

16.

Simon, Laure, Matthieu Hanf, Dominique Darmaun, et al.. (2019). Neonatal growth velocity of preterm infants: The weight Z-score change versus Patel exponential model. PLoS ONE. 14(6). e0218746–e0218746. 23 indexed citations

17.

Nusinovici, Simon, Cyril Flamant, Guillaume Legendre, et al.. (2019). Neonatal and neurodevelopmental outcomes in preterm infants according to maternal body mass index: A prospective cohort study. PLoS ONE. 14(12). e0225027–e0225027. 6 indexed citations

18.

Nusinovici, Simon, Bertrand Olliac, Cyril Flamant, et al.. (2017). Impact of preterm birth on parental separation: a French population-based longitudinal study. BMJ Open. 7(11). e017845–e017845. 5 indexed citations

19.

Nusinovici, Simon, et al.. (2012). Quantification and at-risk period of decreased fertility associated with exposure to bluetongue virus serotype 8 in naïve dairy herds. Journal of Dairy Science. 95(6). 3008–3020. 15 indexed citations

20.

Nusinovici, Simon, et al.. (2010). Mortality from circulatory system diseases and low-level radon exposure in the French cohort study of uranium miners, 1946–1999. Scandinavian Journal of Work Environment & Health. 36(5). 373–383. 24 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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