Krithi Pushpanathan

649 total citations · 1 hit paper
12 papers, 403 citations indexed

About

Krithi Pushpanathan is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Molecular Biology. According to data from OpenAlex, Krithi Pushpanathan has authored 12 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Health Informatics and 4 papers in Molecular Biology. Recurrent topics in Krithi Pushpanathan's work include Retinal Imaging and Analysis (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Retinal and Optic Conditions (3 papers). Krithi Pushpanathan is often cited by papers focused on Retinal Imaging and Analysis (6 papers), Artificial Intelligence in Healthcare and Education (5 papers) and Retinal and Optic Conditions (3 papers). Krithi Pushpanathan collaborates with scholars based in Singapore, China and United States. Krithi Pushpanathan's co-authors include Yih Chung Tham, David Ziyou Chen, Jocelyn Hui Lin Goh, Samantha Min Er Yew, Victor Koh, Marcus Chun Jin Tan, Zhi Wei Lim, Bin Sheng, Ching‐Yu Cheng and Chen‐Hsin Sun and has published in prestigious journals such as Biotechnology Advances, Chemical Engineering Science and British Journal of Ophthalmology.

In The Last Decade

Krithi Pushpanathan

9 papers receiving 400 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.

Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard

2023 202 citations Zhi Wei Lim, Krithi Pushpanathan et al. EBioMedicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Krithi Pushpanathan Singapore	7	217	148	95	91	34	12	403
Hanzhou Li United States	6	182 0.8×	146 1.0×	85 0.9×	34 0.4×	13 0.4×	24	350
Jocelyn Hui Lin Goh Singapore	6	203 0.9×	198 1.3×	94 1.0×	16 0.2×	8 0.2×	12	366
Samantha Min Er Yew Singapore	4	200 0.9×	136 0.9×	93 1.0×	15 0.2×	6 0.2×	8	299
Yin‐Hsi Chang Taiwan	7	105 0.5×	72 0.5×	65 0.7×	34 0.4×	10 0.3×	16	223
Andreas Mittermeier Germany	4	244 1.1×	164 1.1×	139 1.5×	12 0.1×	23 0.7×	9	347
Christian Bluethgen Switzerland	9	283 1.3×	207 1.4×	265 2.8×	53 0.6×	46 1.4×	11	566
Ciro Mennella Italy	5	167 0.8×	81 0.5×	54 0.6×	18 0.2×	65 1.9×	8	375
Jean-Benoit Delbrouck United States	7	141 0.6×	95 0.6×	205 2.2×	59 0.6×	11 0.3×	13	359
Varun Buch United States	8	141 0.6×	152 1.0×	132 1.4×	18 0.2×	30 0.9×	11	423
Hina Raja United States	9	101 0.5×	216 1.5×	55 0.6×	9 0.1×	27 0.8×	21	295

Countries citing papers authored by Krithi Pushpanathan

Since Specialization

Citations

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

Fields of papers citing papers by Krithi Pushpanathan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krithi Pushpanathan

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

All Works

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12 of 12 papers shown

Srinivasan, Sahana, Hongwei Ji, David Ziyou Chen, et al.. (2025). Can off-the-shelf visual large language models detect and diagnose ocular diseases from retinal photographs?. BMJ Open Ophthalmology. 10(1). e002076–e002076.

Wong, Wendy, Krithi Pushpanathan, Sahana Srinivasan, et al.. (2025). Comparative analysis of generic vision-language models in detecting and diagnosing inherited retinal diseases using fundus photographs. Eye. 39(17). 3187–3194.

Pushpanathan, Krithi, Sahana Srinivasan, Wendy Wong, et al.. (2025). Can OpenAI's New o1 Model Outperform Its Predecessors in Common Eye Care Queries?. Ophthalmology Science. 5(4). 100745–100745. 3 indexed citations

Srinivasan, Sahana, X. C. Ai, Ke Zou, et al.. (2025). Ophthalmological Question Answering and Reasoning Using OpenAI o1 vs Other Large Language Models. JAMA Ophthalmology. 143(9). 740–740.

Yew, Samantha Min Er, Xiaofeng Lei, Yibing Chen, et al.. (2024). Deep Imbalanced Regression Model for Predicting Refractive Error from Retinal Photos. Ophthalmology Science. 5(2). 100659–100659. 1 indexed citations

Sheng, Bin, Krithi Pushpanathan, Zhouyu Guan, et al.. (2024). Artificial intelligence for diabetes care: current and future prospects. The Lancet Diabetes & Endocrinology. 12(8). 569–595. 38 indexed citations

Lim, Zhi Wei, Krithi Pushpanathan, Samantha Min Er Yew, et al.. (2023). Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard. EBioMedicine. 95. 104770–104770. 202 indexed citations breakdown →

Wong, Matthew, Zhi Wei Lim, Krithi Pushpanathan, et al.. (2023). Review of emerging trends and projection of future developments in large language models research in ophthalmology. British Journal of Ophthalmology. 108(10). 1362–1370. 21 indexed citations

Pushpanathan, Krithi, Zhi Wei Lim, Samantha Min Er Yew, et al.. (2023). Popular large language model chatbots’ accuracy, comprehensiveness, and self-awareness in answering ocular symptom queries. iScience. 26(11). 108163–108163. 51 indexed citations

10.

Wang, Shuhui, Shiqi Liu, Cuiying Zhang, et al.. (2022). Engineering Yarrowia lipolytica to Produce Itaconic Acid From Waste Cooking Oil. Frontiers in Bioengineering and Biotechnology. 10. 888869–888869. 32 indexed citations

11.

Zhu, Kun Yan, Jing Kong, Shiqi Liu, et al.. (2021). Metabolic engineering of microbes for monoterpenoid production. Biotechnology Advances. 53. 107837–107837. 31 indexed citations

12.

Li, Shenglong, Shuhui Wang, Shiqi Liu, et al.. (2021). Enhanced limonene production by metabolically engineered Yarrowia lipolytica from cheap carbon sources. Chemical Engineering Science. 249. 117342–117342. 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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