Shivaprasad Gadag
- Pharmaceutical Science top 5%
- Advancements in Transdermal Drug Delivery 3
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery 4
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- Toxin Mechanisms and Immunotoxins 3
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- Analytical Chemistry and Chromatography 2
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- Sirtuins and Resveratrol in Medicine 2
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- Computational Drug Discovery Methods 2
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- Petroleum Processing and Analysis 2
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- Bee Products Chemical Analysis 2
- Co-authors
- Usha Y. NayakSanjay GargReema NarayanYogendra NayakK. Sreedhara Ranganath PaiShilpa SantAshok M. RaichurChetan Hasmukh Mehta
- Journals
- Carbohydrate Polymers (1 paper)International Journal of Pharmaceutics (3 papers)International Journal of Biological Macromolecules (1 paper)
- Partner nations
- IndiaAustraliaNetherlands
In The Last Decade
Shivaprasad Gadag
17 papers receiving 320 citations
Peers
Comparison fields: 5 of 86
- Pharmaceutical Science 92
- Biomaterials 97
- Health Informatics 8
- Drug Discovery 1
- Molecular Medicine 22
Countries citing papers authored by Shivaprasad Gadag
This map shows the geographic impact of Shivaprasad Gadag'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 Shivaprasad Gadag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shivaprasad Gadag more than expected).
Fields of papers citing papers by Shivaprasad Gadag
This network shows the impact of papers produced by Shivaprasad Gadag. 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 Shivaprasad Gadag. The network helps show where Shivaprasad Gadag may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shivaprasad Gadag, 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 | 2024 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 13 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 5 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 71 | |
| 10 | 2021 | 61 | |
| 11 | 2021 | 21 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 12 | |
| 14 | 2020 | 19 | |
| 15 | 2020 | 28 | |
| 16 | 2020 | 16 | |
| 17 | 2020 | 16 |
About Shivaprasad Gadag
Shivaprasad Gadag is a scholar working on Health Informatics, Geriatrics and Gerontology and Pharmaceutical Science, having authored 17 papers that have together received 324 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (4 papers), Advancements in Transdermal Drug Delivery (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Analytical Chemistry and Chromatography (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Computational Drug Discovery Methods (2 papers), Petroleum Processing and Analysis (2 papers) and Bee Products Chemical Analysis (2 papers). The work is most often cited by research in Pharmaceutical Science (92 citations), Biomaterials (97 citations) and Health Informatics (8 citations). Shivaprasad Gadag has collaborated with scholars based in India, Australia and Netherlands. Frequent co-authors include Usha Y. Nayak, Sanjay Garg, Reema Narayan, Yogendra Nayak, K. Sreedhara Ranganath Pai, Shilpa Sant, Ashok M. Raichur, Chetan Hasmukh Mehta, Sri Pragnya Cheruku and Akhil Suresh. Their work appears in journals such as Carbohydrate Polymers, International Journal of Pharmaceutics and International Journal of Biological Macromolecules.
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.