Punya Sachdeva
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Pharmaceutical Science top 5%
- Advanced Drug Delivery Systems
Papers in
-
- Alzheimer's disease research and treatments 7
-
- Nanoparticle-Based Drug Delivery 2
- Co-authors
- Shampa Ghosh (7 shared papers)Jitendra Kumar Sinha (7 shared papers)Niraj Kumar Jha (5 shared papers)Saurabh Kumar Jha (4 shared papers)Rakesh Bhaskar (3 shared papers)Sung Soo Han (3 shared papers)Ana Cláudia Paiva‐Santos (2 shared papers)Gokana Mohana Rani (1 shared paper)
- Journals
- Journal of Alzheimer s Disease (2 papers)Pharmaceutics (1 paper)Frontiers in Oncology (1 paper)Life (1 paper)Frontiers in Molecular Neuroscience (1 paper)
- Partner nations
- IndiaSaudi ArabiaUnited Arab Emirates
In The Last Decade
Punya Sachdeva
22 papers receiving 485 citations
Peers
Comparison fields: 5 of 71
- Biomaterials 112
- Pharmaceutical Science 59
- Drug Discovery 2
- Neurology 32
- Endocrine and Autonomic Systems 22
Countries citing papers authored by Punya Sachdeva
This map shows the geographic impact of Punya Sachdeva'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 Punya Sachdeva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Punya Sachdeva more than expected).
Fields of papers citing papers by Punya Sachdeva
This network shows the impact of papers produced by Punya Sachdeva. 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 Punya Sachdeva. The network helps show where Punya Sachdeva may publish in the future.
Co-authors
The 25 scholars most cited alongside Punya Sachdeva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 105 | |
| 2 | 2022 | 60 | |
| 3 | 2023 | 38 | |
| 4 | 2022 | 34 | |
| 5 | 2023 | 30 | |
| 6 | 2023 | 30 | |
| 7 | 2022 | 29 | |
| 8 | 2024 | 28 | |
| 9 | 2024 | 26 | |
| 10 | 2023 | 18 | |
| 11 | 2022 | 16 | |
| 12 | 2024 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2022 | 13 | |
| 16 | 2022 | 9 | |
| 17 | 2023 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2021 | 3 | |
| 20 | 2023 | 2 |
About Punya Sachdeva
Punya Sachdeva is a scholar working on Physiology, Biomaterials, Pharmacology, Computational Theory and Mathematics and Developmental Neuroscience, having authored 22 papers that have together received 501 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Pluripotent Stem Cells Research (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Graphene and Nanomaterials Applications (2 papers), Computational Drug Discovery Methods (2 papers), Treatment of Major Depression (2 papers), RNA and protein synthesis mechanisms (1 paper) and Schizophrenia research and treatment (1 paper). The work is most often cited by research in Biomaterials (112 citations), Pharmaceutical Science (59 citations), Drug Discovery (2 citations), Neurology (32 citations) and Endocrine and Autonomic Systems (22 citations). Punya Sachdeva has collaborated with scholars based in India, Saudi Arabia and United Arab Emirates. Frequent co-authors include Shampa Ghosh, Jitendra Kumar Sinha, Niraj Kumar Jha, Saurabh Kumar Jha, Rakesh Bhaskar, Sung Soo Han, Ana Cláudia Paiva‐Santos, Gokana Mohana Rani, Saikat Dewanjee and Vishal Chaudhary. Their work appears in journals such as Journal of Alzheimer s Disease, Pharmaceutics, Frontiers in Oncology, Life and Frontiers in Molecular Neuroscience.
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.