Satish Kumar David
Impact in
- Nephrology top 10%
- Chronic Kidney Disease and Diabetes
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- Artificial Intelligence in Healthcare
Papers in
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- Gene expression and cancer classification 1
- Insect Resistance and Genetics 1
- Bacterial biofilms and quorum sensing 1
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- Mobile Health and mHealth Applications 2
- Co-authors
- Mohamed Rafiullah (5 shared papers)Najlaa A. Ahmad (1 shared paper)Ahmad H. Al‐Sharqawi (1 shared paper)Dhekra Alnaqeb (1 shared paper)Amira M. Youssef (1 shared paper)Khalid Al‐Rubeaan (1 shared paper)Shehryar Subhani (1 shared paper)Khalid Siddiqui (2 shared papers)
- Journals
- International Journal of Clinical Practice (2 papers)Nutrition Reviews (1 paper)PLoS ONE (1 paper)Evolutionary Bioinformatics (1 paper)Journal of Diabetes & Metabolic Disorders (1 paper)
- Partner nations
- Saudi ArabiaKuwait
In The Last Decade
Satish Kumar David
8 papers receiving 285 citations
Peers
Comparison fields: 5 of 66
- Nephrology 56
- Health Information Management 29
- Endocrinology, Diabetes and Metabolism 72
- Physiology 60
- Ophthalmology 16
Countries citing papers authored by Satish Kumar David
This map shows the geographic impact of Satish Kumar David'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 Satish Kumar David with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satish Kumar David more than expected).
Fields of papers citing papers by Satish Kumar David
This network shows the impact of papers produced by Satish Kumar David. 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 Satish Kumar David. The network helps show where Satish Kumar David may publish in the future.
Co-authors
The 13 scholars most cited alongside Satish Kumar David, 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 | 2014 | 134 | |
| 2 | 2021 | 61 | |
| 3 | Comparative Analysis of Data Mining Tools and Classification Techniques using WEKA in Medical Bioinformatics | 2013 | 33 |
| 4 | 2016 | 17 | |
| 5 | 2019 | 15 | |
| 6 | 2022 | 13 | |
| 7 | 2014 | 13 | |
| 8 | 2010 | 10 | |
| 9 | 2025 | 0 | |
| 10 | 2014 | 0 |
About Satish Kumar David
Satish Kumar David is a scholar working on Molecular Biology, General Health Professions, Health Information Management, Nephrology and Information Systems, having authored 10 papers that have together received 296 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (2 papers), Mobile Health and mHealth Applications (2 papers), Gene expression and cancer classification (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Entomopathogenic Microorganisms in Pest Control (1 paper), Data Mining Algorithms and Applications (1 paper), Insect Resistance and Genetics (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Nephrology (56 citations), Health Information Management (29 citations), Endocrinology, Diabetes and Metabolism (72 citations), Physiology (60 citations) and Ophthalmology (16 citations). Satish Kumar David has collaborated with scholars based in Saudi Arabia and Kuwait. Frequent co-authors include Mohamed Rafiullah, Najlaa A. Ahmad, Ahmad H. Al‐Sharqawi, Dhekra Alnaqeb, Amira M. Youssef, Khalid Al‐Rubeaan, Shehryar Subhani, Khalid Siddiqui, Amr T. M. Saeb and Adnan Mahmood Usmani. Their work appears in journals such as International Journal of Clinical Practice, Nutrition Reviews, PLoS ONE, Evolutionary Bioinformatics and Journal of Diabetes & Metabolic Disorders.
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.