Ashutosh Agarwal
Impact in
- Biomedical Engineering top 2%
- 3D Printing in Biomedical Research
- Microfluidic and Bio-sensing Technologies
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Co-authors
- Kevin Kit ParkerHenry HessMegan L. McCainJosue A. GossAlexander ChoAlexander P. NesmithThorsten FischerParag Katira
- Journals
- Lab on a Chip (7 papers)Journal of Visualized Experiments (3 papers)Advanced Materials (2 papers)Nature Communications (2 papers)Cellular and Molecular Bioengineering (2 papers)
- Partner nations
- United StatesIndiaSaudi Arabia
In The Last Decade
Ashutosh Agarwal
65 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 141
- Biomedical Engineering 1.2k
- Biomaterials 347
- Condensed Matter Physics 265
- Cell Biology 366
- Cellular and Molecular Neuroscience 321
Countries citing papers authored by Ashutosh Agarwal
This map shows the geographic impact of Ashutosh Agarwal'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 Ashutosh Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashutosh Agarwal more than expected).
Fields of papers citing papers by Ashutosh Agarwal
This network shows the impact of papers produced by Ashutosh Agarwal. 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 Ashutosh Agarwal. The network helps show where Ashutosh Agarwal may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ashutosh Agarwal, 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 | 2025 | 2 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 30 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 5 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 3 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 70 | |
| 13 | 2020 | 9 | |
| 14 | 2020 | 10 | |
| 15 | 2018 | 1 | |
| 16 | 2014 | 90 | |
| 17 | 2014 | 181 | |
| 18 | 2011 | 75 | |
| 19 | 2010 | 14 | |
| 20 | EFFECT OF TINOSPORA CORDIFOLIA ON LEARNING AND MEMORY IN NORMAL AND MEMORY DEFICIT RATS | 2002 | 66 |
About Ashutosh Agarwal
Ashutosh Agarwal is a scholar working on Biophysics, Structural Biology, Cell Biology, Biomedical Engineering and Condensed Matter Physics, having authored 67 papers that have together received 2.5k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (21 papers), Cancer Cells and Metastasis (9 papers), Tissue Engineering and Regenerative Medicine (8 papers), Microtubule and mitosis dynamics (8 papers), Pancreatic function and diabetes (8 papers), Micro and Nano Robotics (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Microfluidic and Bio-sensing Technologies (5 papers). The work is most often cited by research in Biomedical Engineering (1.2k citations), Biomaterials (347 citations), Condensed Matter Physics (265 citations), Cell Biology (366 citations) and Cellular and Molecular Neuroscience (321 citations). Ashutosh Agarwal has collaborated with scholars based in United States, India and Saudi Arabia. Frequent co-authors include Kevin Kit Parker, Henry Hess, Megan L. McCain, Josue A. Goss, Alexander Cho, Alexander P. Nesmith, Thorsten Fischer, Parag Katira, Matthew Ishahak and Siddarth Rawal. Their work appears in journals such as Lab on a Chip, Journal of Visualized Experiments, Advanced Materials, Nature Communications and Cellular and Molecular Bioengineering.
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.