Amish Asthana

845 total citations
25 papers, 550 citations indexed

About

Amish Asthana is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Amish Asthana has authored 25 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 10 papers in Surgery and 8 papers in Molecular Biology. Recurrent topics in Amish Asthana's work include 3D Printing in Biomedical Research (12 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Cellular Mechanics and Interactions (7 papers). Amish Asthana is often cited by papers focused on 3D Printing in Biomedical Research (12 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Cellular Mechanics and Interactions (7 papers). Amish Asthana collaborates with scholars based in United States, Italy and France. Amish Asthana's co-authors include William S. Kisaalita, Giuseppe Orlando, Lauren Edgar, Blaise D. Porter, Yinzhi Lai, Carlo Gazia, Giuseppe Orlando, Stefan G. Tullius, Benjamin D. Humphreys and Nicolas Ledru and has published in prestigious journals such as Nature Communications, PLoS ONE and Biomaterials.

In The Last Decade

Amish Asthana

22 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amish Asthana United States 13 265 173 169 113 53 25 550
Gavrielle M. Price United States 13 293 1.1× 172 1.0× 179 1.1× 158 1.4× 81 1.5× 16 516
Aylin Acun United States 12 198 0.7× 97 0.6× 167 1.0× 121 1.1× 37 0.7× 22 389
Daniel Naveed Tavakol United States 14 317 1.2× 152 0.9× 110 0.7× 103 0.9× 88 1.7× 29 582
Patrick A. Link United States 13 134 0.5× 120 0.7× 220 1.3× 137 1.2× 36 0.7× 24 499
Marika Milan Italy 9 308 1.2× 218 1.3× 157 0.9× 97 0.9× 60 1.1× 14 537
Melissa A. Kinney United States 14 403 1.5× 437 2.5× 183 1.1× 70 0.6× 60 1.1× 23 699
Matthew P. Lech United States 7 183 0.7× 127 0.7× 70 0.4× 30 0.3× 72 1.4× 9 477
Hannah A. Strobel United States 16 297 1.1× 268 1.5× 205 1.2× 188 1.7× 114 2.2× 36 790
Ryan J. Nagao United States 10 172 0.6× 207 1.2× 184 1.1× 110 1.0× 43 0.8× 14 524
Roberta Visone Italy 17 488 1.8× 157 0.9× 185 1.1× 117 1.0× 40 0.8× 35 652

Countries citing papers authored by Amish Asthana

Since Specialization
Citations

This map shows the geographic impact of Amish Asthana'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 Amish Asthana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amish Asthana more than expected).

Fields of papers citing papers by Amish Asthana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amish Asthana. 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 Amish Asthana. The network helps show where Amish Asthana may publish in the future.

Co-authorship network of co-authors of Amish Asthana

This figure shows the co-authorship network connecting the top 25 collaborators of Amish Asthana. A scholar is included among the top collaborators of Amish Asthana 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 Amish Asthana. Amish Asthana 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.
Asthana, Amish, Tamara Lozano‐Fernández, Wonwoo Jeong, et al.. (2025). Comprehensive biocompatibility profiling of human pancreas-derived biomaterial. Frontiers in Bioengineering and Biotechnology. 13. 1518665–1518665.
3.
Rengaraj, Arunkumar, Wonwoo Jeong, Alberto Maria Gambelli, et al.. (2025). State of the Art of Bioengineering Approaches in Beta-Cell Replacement. Current Transplantation Reports. 12(1). 17–17.
4.
Ledru, Nicolas, Parker C. Wilson, Yoshiharu Muto, et al.. (2024). Predicting proximal tubule failed repair drivers through regularized regression analysis of single cell multiomic sequencing. Nature Communications. 15(1). 1291–1291. 25 indexed citations
5.
Rossi, Arianna, Teresa Pescara, Alberto Maria Gambelli, et al.. (2024). Biomaterials for extrusion-based bioprinting and biomedical applications. Frontiers in Bioengineering and Biotechnology. 12. 1393641–1393641. 31 indexed citations
6.
Li, Haikuo, Dian Li, Nicolas Ledru, et al.. (2024). Transcriptomic, epigenomic, and spatial metabolomic cell profiling redefines regional human kidney anatomy. Cell Metabolism. 36(5). 1105–1125.e10. 37 indexed citations
7.
Asthana, Amish, Riccardo Tamburrini, Carlo Gazia, et al.. (2023). Decellularized human pancreatic extracellular matrix-based physiomimetic microenvironment for human islet culture. Acta Biomaterialia. 171. 261–272. 8 indexed citations
8.
Tamburrini, Riccardo, Deborah Chaimov, Amish Asthana, et al.. (2020). Detergent-Free Decellularization of the Human Pancreas for Soluble Extracellular Matrix (ECM) Production. Journal of Visualized Experiments. 12 indexed citations
9.
Asthana, Amish, Riccardo Tamburrini, Deborah Chaimov, et al.. (2020). Comprehensive characterization of the human pancreatic proteome for bioengineering applications. Biomaterials. 270. 120613–120613. 21 indexed citations
10.
Haidekker, Mark A., et al.. (2020). Spheroid Trapping and Calcium Spike Estimation Techniques toward Automation of 3D Culture. SLAS TECHNOLOGY. 26(3). 265–273.
11.
Rossi, Andrea, et al.. (2020). Extracellular Vesicles, Apoptotic Bodies and Mitochondria: Stem Cell Bioproducts for Organ Regeneration. Current Transplantation Reports. 7(2). 105–113. 18 indexed citations
12.
Asthana, Amish, et al.. (2019). Secretome-Based Prediction of Three-Dimensional Hepatic Microtissue Physiological Relevance. ACS Biomaterials Science & Engineering. 6(1). 587–596. 1 indexed citations
13.
Edgar, Lauren, Afnan Altamimi, Marta García Sánchez, et al.. (2018). Utility of extracellular matrix powders in tissue engineering. Organogenesis. 14(4). 172–186. 34 indexed citations
14.
Asthana, Amish, et al.. (2018). Evaluation of cellular adhesion and organization in different microporous polymeric scaffolds. Biotechnology Progress. 34(2). 505–514. 9 indexed citations
15.
Asthana, Amish & William S. Kisaalita. (2016). Molecular basis for cytokine biomarkers of complex 3D microtissue physiology in vitro. Drug Discovery Today. 21(6). 950–961. 3 indexed citations
16.
Asthana, Amish & William S. Kisaalita. (2015). Is time an extra dimension in 3D cell culture?. Drug Discovery Today. 21(3). 395–399. 12 indexed citations
17.
Asthana, Amish & William S. Kisaalita. (2012). Biophysical microenvironment and 3D culture physiological relevance. Drug Discovery Today. 18(11-12). 533–540. 35 indexed citations
18.
Asthana, Amish & William S. Kisaalita. (2012). Microtissue size and hypoxia in HTS with 3D cultures. Drug Discovery Today. 17(15-16). 810–817. 80 indexed citations
19.
Lai, Yinzhi, Amish Asthana, & William S. Kisaalita. (2011). Biomarkers for simplifying HTS 3D cell culture platforms for drug discovery: the case for cytokines. Drug Discovery Today. 16(7-8). 293–297. 38 indexed citations
20.
Lai, Yinzhi, Amish Asthana, Ke Cheng, & William S. Kisaalita. (2011). Neural Cell 3D Microtissue Formation Is Marked by Cytokines' Up-Regulation. PLoS ONE. 6(10). e26821–e26821. 16 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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