Radhakrishnan Subashini

3.7k citations
14 papers · 1.2k · 1 hit paper · h-index 9

Impact in

Papers in

Radhakrishnan Subashini

14 papers receiving 1.2k citations

Radhakrishnan Subashini's Hit Papers

Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence 2018 · 294 citations
2940+2+5Years since publication50100150200250

Peers

Radhakrishnan Subashini
Comparison fields: 5 of 107
  • Ophthalmology 147
  • Endocrinology, Diabetes and Metabolism 243
  • Health Information Management 56
  • Radiology, Nuclear Medicine and Imaging 212
  • Health Informatics 11
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Citations per field
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Citations per year

Countries citing papers authored by Radhakrishnan Subashini

Since Specialization
Citations

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

Fields of papers citing papers by Radhakrishnan Subashini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Radhakrishnan Subashini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Radhakrishnan Subashini Line = papers co-authored together Radhakrishnan Subashini links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence
Hit paper breakdown →
2018294
2 2014254
3 2014241
4 2015211
5 201483
6 201680
7 201922
8 201814
9 202012
10 20236
11 20235
12 20214
13 20253
14 20212

About Radhakrishnan Subashini

Radhakrishnan Subashini is a scholar working on Endocrinology, Diabetes and Metabolism, Organic Chemistry, Molecular Biology, Pharmacology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Click Chemistry and Applications (2 papers), Synthesis and biological activity (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Retinal Imaging and Analysis (1 paper), Enzyme Catalysis and Immobilization (1 paper), Moringa oleifera research and applications (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Ophthalmology (147 citations), Endocrinology, Diabetes and Metabolism (243 citations), Health Information Management (56 citations), Radiology, Nuclear Medicine and Imaging (212 citations) and Health Informatics (11 citations). Radhakrishnan Subashini has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Viswanathan Mohan, Ranjit Mohan Anjana, Ramachandran Rajalakshmi, Mohan Deepa, Rajendra Pradeepa, Ranjit Unnikrishnan, Gangadhara Angajala, Tanvir Kaur, Anil Bhansali and Ashok Kumar Das. Their work appears in journals such as Biocatalysis and Agricultural Biotechnology, Diabetes Technology & Therapeutics, Diabetic Medicine, Eye and International Journal of Microbiology Research.

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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