Deepthi K Prasad
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Health Information Management top 10%
Papers in
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- Retinal Imaging and Analysis 11
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- Digital Imaging for Blood Diseases 4
- Co-authors
- Eleftheria Maratos–Flier (2 shared papers)Pavlos Pissios (2 shared papers)K R Venugopal (5 shared papers)José Manuel Fernández‐Real (1 shared paper)John M. Asara (1 shared paper)Xiaojing Wei (1 shared paper)Yusuke Kikukawa (1 shared paper)Iphigenia Tzameli (1 shared paper)
- Journals
- Nature Medicine (1 paper)Endocrinology (1 paper)Diagnostics (1 paper)International Journal of Medical Engineering and Informatics (1 paper)International Journal Of Engineering And Computer Science (1 paper)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Deepthi K Prasad
9 papers receiving 275 citations
Peers
Comparison fields: 5 of 61
- Geriatrics and Gerontology 73
- Health Information Management 23
- Ophthalmology 34
- Physiology 18
- Radiology, Nuclear Medicine and Imaging 74
Countries citing papers authored by Deepthi K Prasad
This map shows the geographic impact of Deepthi K Prasad'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 Deepthi K Prasad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepthi K Prasad more than expected).
Fields of papers citing papers by Deepthi K Prasad
This network shows the impact of papers produced by Deepthi K Prasad. 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 Deepthi K Prasad. The network helps show where Deepthi K Prasad may publish in the future.
Co-authors
The 12 scholars most cited alongside Deepthi K Prasad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 190 | |
| 2 | 2015 | 56 | |
| 3 | 2013 | 19 | |
| 4 | 2024 | 4 | |
| 5 | 2018 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2018 | 3 | |
| 8 | 2022 | 2 | |
| 9 | 2018 | 2 | |
| 10 | 2018 | 0 | |
| 11 | 2018 | 0 | |
| 12 | 2018 | 0 | |
| 13 | 2018 | 0 |
About Deepthi K Prasad
Deepthi K Prasad is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Ophthalmology, Health Information Management and Epidemiology, having authored 13 papers that have together received 283 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (11 papers), Retinal Diseases and Treatments (4 papers), Digital Imaging for Blood Diseases (4 papers), Artificial Intelligence in Healthcare (3 papers), Retinal and Optic Conditions (2 papers), PARP inhibition in cancer therapy (1 paper), Remote-Sensing Image Classification (1 paper) and Vehicle License Plate Recognition (1 paper). The work is most often cited by research in Geriatrics and Gerontology (73 citations), Health Information Management (23 citations), Ophthalmology (34 citations), Physiology (18 citations) and Radiology, Nuclear Medicine and Imaging (74 citations). Deepthi K Prasad has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Eleftheria Maratos–Flier, Pavlos Pissios, K R Venugopal, José Manuel Fernández‐Real, John M. Asara, Xiaojing Wei, Yusuke Kikukawa, Iphigenia Tzameli, Shangyu Hong and José María Moreno‐Navarrete. Their work appears in journals such as Nature Medicine, Endocrinology, Diagnostics, International Journal of Medical Engineering and Informatics and International Journal Of Engineering And Computer Science.
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.