Pranav Joshi

598 total citations
31 papers, 386 citations indexed

About

Pranav Joshi is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Pranav Joshi has authored 31 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 10 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Pranav Joshi's work include 3D Printing in Biomedical Research (17 papers), Pluripotent Stem Cells Research (7 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (6 papers). Pranav Joshi is often cited by papers focused on 3D Printing in Biomedical Research (17 papers), Pluripotent Stem Cells Research (7 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (6 papers). Pranav Joshi collaborates with scholars based in United States, India and Germany. Pranav Joshi's co-authors include Moo‐Yeal Lee, Sumana Chakravarty, Arvind Kumar, Soo‐Yeon Kang, Kyeong‐Nam Yu, Sunil Shrestha, Chandrasekhar R. Kothapalli, Kyeong-Nam Yu, Michael T. Heneka and Jochen Walter and has published in prestigious journals such as Scientific Reports, Neuroscience and Experimental Cell Research.

In The Last Decade

Pranav Joshi

30 papers receiving 379 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pranav Joshi United States 12 135 112 79 49 41 31 386
Ya Li China 12 46 0.3× 116 1.0× 81 1.0× 71 1.4× 34 0.8× 39 434
Reiko Mizutani Japan 15 53 0.4× 221 2.0× 34 0.4× 82 1.7× 71 1.7× 29 600
Joshua Park United States 10 58 0.4× 170 1.5× 27 0.3× 87 1.8× 78 1.9× 14 389
Yingqi Weng China 13 328 2.4× 172 1.5× 123 1.6× 138 2.8× 157 3.8× 23 738
Zhe Pei United States 15 67 0.5× 309 2.8× 30 0.4× 177 3.6× 71 1.7× 37 574
Hyun‐Kyu An South Korea 11 66 0.5× 204 1.8× 22 0.3× 42 0.9× 40 1.0× 16 459
Julia W. Cohen United States 8 23 0.2× 142 1.3× 31 0.4× 96 2.0× 96 2.3× 14 393
Alexander Volkerling Australia 10 75 0.6× 146 1.3× 54 0.7× 105 2.1× 172 4.2× 13 394
Kota Sato Japan 14 38 0.3× 251 2.2× 116 1.5× 82 1.7× 20 0.5× 54 628

Countries citing papers authored by Pranav Joshi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pranav Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Pranav Joshi. A scholar is included among the top collaborators of Pranav Joshi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pranav Joshi. Pranav Joshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Joshi, Pranav, et al.. (2025). Reproducible, Scale-Up Production of Human Brain Organoids (HBOs) on a Pillar Plate Platform via Spheroid Transfer. Methods in molecular biology. 1 indexed citations
2.
Joshi, Pranav, Soo‐Yeon Kang, Minseong Lee, et al.. (2025). Dynamic Culture of Bioprinted Liver Tumor Spheroids in a Pillar/Perfusion Plate for Predictive Screening of Anticancer Drugs. Biotechnology and Bioengineering. 122(4). 995–1009. 1 indexed citations
3.
4.
Shrestha, Sunil, Pranav Joshi, Na Young Choi, et al.. (2024). Dynamic culture of cerebral organoids using a pillar/perfusion plate for the assessment of developmental neurotoxicity. Biofabrication. 17(1). 15001–15001. 4 indexed citations
5.
Joshi, Pranav, et al.. (2024). Uniform cerebral organoid culture on a pillar plate by simple and reproducible spheroid transfer from an ultralow attachment well plate. Biofabrication. 16(2). 25005–25005. 13 indexed citations
6.
Reddy, L. Vinod Kumar, Soo‐Yeon Kang, Jiafeng Liu, et al.. (2024). A Pillar/Perfusion Plate Enhances Cell Growth, Reproducibility, Throughput, and User Friendliness in Dynamic 3D Cell Culture. ACS Biomaterials Science & Engineering. 10(5). 3478–3488. 9 indexed citations
7.
Joshi, Pranav, Na Young Choi, Sunil Shrestha, et al.. (2024). Cryopreservation of Neuroectoderm on a Pillar Plate and In Situ Differentiation into Human Brain Organoids. ACS Biomaterials Science & Engineering. 10(11). 7111–7119. 1 indexed citations
8.
Joshi, Pranav, et al.. (2023). High-throughput assessment of metabolism-mediated neurotoxicity by combining 3D-cultured neural stem cells and liver cell spheroids. Toxicology in Vitro. 93. 105688–105688. 3 indexed citations
9.
Kang, Soo‐Yeon, Masaki Kimura, Sunil Shrestha, et al.. (2023). A Pillar and Perfusion Plate Platform for Robust Human Organoid Culture and Analysis. Advanced Healthcare Materials. 13(21). e2302502–e2302502. 20 indexed citations
10.
Joshi, Pranav, Masahiro Enomoto, Seema Qamar, et al.. (2021). Differential interaction with TREM2 modulates microglial uptake of modified Aβ species. Glia. 69(12). 2917–2932. 12 indexed citations
11.
Joshi, Pranav, Sathish Kumar, Samira Parhizkar, et al.. (2021). TREM2 modulates differential deposition of modified and non-modified Aβ species in extracellular plaques and intraneuronal deposits. Acta Neuropathologica Communications. 9(1). 168–168. 13 indexed citations
12.
Joshi, Pranav, Soo Yeon Kang, Kyeong-Nam Yu, Chandrasekhar R. Kothapalli, & Moo‐Yeal Lee. (2020). High-content imaging of 3D-cultured neural stem cells on a 384-pillar plate for the assessment of cytotoxicity. Toxicology in Vitro. 65. 104765–104765. 10 indexed citations
13.
Joshi, Pranav, et al.. (2018). High-content imaging assays on a miniaturized 3D cell culture platform. Toxicology in Vitro. 50. 147–159. 22 indexed citations
14.
15.
Reddy, Chada Raji, Dilipkumar Uredi, Bathini Nagendra Babu, et al.. (2018). Synthesis and biological evaluation of longanlactone analogues as neurotrophic agents. Bioorganic & Medicinal Chemistry Letters. 28(4). 673–676. 7 indexed citations
16.
Joshi, Pranav, Kyeong-Nam Yu, Soo Yeon Kang, et al.. (2018). 3D-cultured neural stem cell microarrays on a micropillar chip for high-throughput developmental neurotoxicology. Experimental Cell Research. 370(2). 680–691. 10 indexed citations
17.
Joshi, Pranav, et al.. (2018). Effects of glucocorticoids in depression: Role of astrocytes. AIMS neuroscience. 5(3). 200–210. 7 indexed citations
18.
Joshi, Pranav, et al.. (2017). Deconvolution of images from 3D printed cells in layers on a chip. Biotechnology Progress. 34(2). 445–454. 5 indexed citations
19.
Joshi, Pranav, Ramesh Samineni, Dwaipayan Bhattacharya, et al.. (2017). A 2-oxa-spiro[5.4]decane scaffold displays neurotrophic, neurogenic and anti-neuroinflammatory activities with high potential for development as a versatile CNS therapeutic. Scientific Reports. 7(1). 1492–1492. 14 indexed citations
20.
Loganathan, Rajprasad, Charles D. Little, Pranav Joshi, et al.. (2014). Identification of emergent motion compartments in the amniote embryo. Organogenesis. 10(4). 350–364. 3 indexed citations

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.

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