Pranav Joshi
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
-
- 3D Printing in Biomedical Research 17
- Innovative Microfluidic and Catalytic Techniques Innovation 6
-
- Pluripotent Stem Cells Research 7
- Co-authors
- Moo‐Yeal Lee (16 shared papers)Sumana Chakravarty (4 shared papers)Arvind Kumar (3 shared papers)Soo‐Yeon Kang (10 shared papers)Kyeong‐Nam Yu (3 shared papers)Sunil Shrestha (6 shared papers)Soo Yeon Kang (3 shared papers)Na Young Choi (3 shared papers)
- Journals
- Toxicology in Vitro (4 papers)Biosensors (2 papers)Biofabrication (2 papers)ACS Biomaterials Science & Engineering (2 papers)Neuroscience (1 paper)
- Partner nations
- United StatesIndiaGermany
In The Last Decade
Pranav Joshi
30 papers receiving 397 citations
Peers
Comparison fields: 5 of 88
- Biological Psychiatry 24
- Behavioral Neuroscience 35
- Neurology 74
- Developmental Neuroscience 33
- Biophysics 21
Countries citing papers authored by Pranav Joshi
This map shows the geographic impact of Pranav Joshi'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 Pranav Joshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pranav Joshi more than expected).
Fields of papers citing papers by Pranav Joshi
This network shows the impact of papers produced by Pranav Joshi. 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 Pranav Joshi. The network helps show where Pranav Joshi may publish in the future.
Co-authors
The 25 scholars most cited alongside Pranav Joshi, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 60 | |
| 2 | 2017 | 54 | |
| 3 | 2015 | 39 | |
| 4 | 2015 | 28 | |
| 5 | 2018 | 23 | |
| 6 | 2023 | 23 | |
| 7 | 2024 | 16 | |
| 8 | 2022 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2021 | 12 | |
| 12 | A REVIEW ON NATURAL MEMORY ENHANCERS (NOOTROPICS) | 2013 | 12 |
| 13 | 2020 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2018 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2021 | 6 |
About Pranav Joshi
Pranav Joshi is a scholar working on Biomedical Engineering, Molecular Biology, Cellular and Molecular Neuroscience, Neurology and Biophysics, having authored 31 papers that have together received 403 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (17 papers), Pluripotent Stem Cells Research (7 papers), Innovative Microfluidic and Catalytic Techniques Innovation (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cell Image Analysis Techniques (4 papers), Alzheimer's disease research and treatments (3 papers), Anesthesia and Neurotoxicity Research (3 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Biological Psychiatry (24 citations), Behavioral Neuroscience (35 citations), Neurology (74 citations), Developmental Neuroscience (33 citations) and Biophysics (21 citations). Pranav Joshi has collaborated with scholars based in United States, India and Germany. Frequent co-authors include Moo‐Yeal Lee, Sumana Chakravarty, Arvind Kumar, Soo‐Yeon Kang, Kyeong‐Nam Yu, Sunil Shrestha, Soo Yeon Kang, Na Young Choi, Chandrasekhar R. Kothapalli and Sathish Kumar. Their work appears in journals such as Toxicology in Vitro, Biosensors, Biofabrication, ACS Biomaterials Science & Engineering and 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.