Prashant Dogra
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Mathematical Biology Tumor Growth 18
- COVID-19 epidemiological studies 4
- Biomaterials 15
- Nanoparticle-Based Drug Delivery 15
- Co-authors
- Vittorio Cristini (43 shared papers)Zhihui Wang (36 shared papers)Joseph D. Butner (19 shared papers)C. Jeffrey Brinker (6 shared papers)Yao-Li Chuang (5 shared papers)Achraf Noureddine (6 shared papers)Javier Ruiz-Ramírez (15 shared papers)Shreya Goel (6 shared papers)
- Journals
- International Journal of Pharmaceutics (3 papers)Cancers (3 papers)Science Advances (2 papers)Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Prashant Dogra
48 papers receiving 962 citations
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 204
- Biomaterials 339
- Pharmaceutical Science 74
- Biomedical Engineering 317
- Oncology 154
Countries citing papers authored by Prashant Dogra
This map shows the geographic impact of Prashant Dogra'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 Prashant Dogra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Dogra more than expected).
Fields of papers citing papers by Prashant Dogra
This network shows the impact of papers produced by Prashant Dogra. 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 Prashant Dogra. The network helps show where Prashant Dogra may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant Dogra, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 219 | |
| 2 | 2019 | 120 | |
| 3 | 2020 | 77 | |
| 4 | 2020 | 63 | |
| 5 | 2016 | 49 | |
| 6 | 2019 | 39 | |
| 7 | 2022 | 35 | |
| 8 | 2020 | 30 | |
| 9 | 2014 | 30 | |
| 10 | 2021 | 28 | |
| 11 | 2021 | 23 | |
| 12 | 2020 | 21 | |
| 13 | 2021 | 17 | |
| 14 | 2024 | 16 | |
| 15 | 2022 | 16 | |
| 16 | 2023 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2022 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2020 | 11 |
About Prashant Dogra
Prashant Dogra is a scholar working on Modeling and Simulation, Biomaterials, Oncology, Molecular Biology and Biomedical Engineering, having authored 50 papers that have together received 967 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (18 papers), Nanoparticle-Based Drug Delivery (15 papers), Cancer Cells and Metastasis (6 papers), Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), COVID-19 epidemiological studies (4 papers), Field-Flow Fractionation Techniques (4 papers) and Advancements in Transdermal Drug Delivery (4 papers). The work is most often cited by research in Modeling and Simulation (204 citations), Biomaterials (339 citations), Pharmaceutical Science (74 citations), Biomedical Engineering (317 citations) and Oncology (154 citations). Prashant Dogra has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Vittorio Cristini, Zhihui Wang, Joseph D. Butner, C. Jeffrey Brinker, Yao-Li Chuang, Achraf Noureddine, Javier Ruiz-Ramírez, Shreya Goel, Sergio Caserta and Kimberly S. Butler. Their work appears in journals such as International Journal of Pharmaceutics, Cancers, Science Advances, Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology and Scientific Reports.
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.