Suradip Das

781 total citations
19 papers, 538 citations indexed

About

Suradip Das is a scholar working on Cellular and Molecular Neuroscience, Biomaterials and Molecular Biology. According to data from OpenAlex, Suradip Das has authored 19 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Biomaterials and 5 papers in Molecular Biology. Recurrent topics in Suradip Das's work include Nerve injury and regeneration (6 papers), Silk-based biomaterials and applications (5 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Suradip Das is often cited by papers focused on Nerve injury and regeneration (6 papers), Silk-based biomaterials and applications (5 papers) and Electrospun Nanofibers in Biomedical Applications (5 papers). Suradip Das collaborates with scholars based in India, United States and United Kingdom. Suradip Das's co-authors include Utpal Bora, D. Kacy Cullen, Bibhuti Bhusan Borthakur, Utpal Bora, Foteini Mourkioti, Harry C. Ledebur, Mijail D. Serruya, H. Isaac Chen, Elizabeth M. Muir and Panteleimon Rompolas and has published in prestigious journals such as Biomaterials, Scientific Reports and Progress in Neurobiology.

In The Last Decade

Suradip Das

19 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suradip Das India 13 263 219 197 145 102 19 538
Ann‐Na Cho South Korea 14 390 1.5× 146 0.7× 143 0.7× 216 1.5× 122 1.2× 25 700
Alexis M. Ziemba United States 15 238 0.9× 318 1.5× 212 1.1× 139 1.0× 116 1.1× 21 677
Andrew E. Rodda Australia 13 179 0.7× 146 0.7× 217 1.1× 138 1.0× 88 0.9× 16 554
Eva Schnell United Kingdom 2 272 1.0× 307 1.4× 433 2.2× 160 1.1× 191 1.9× 3 703
Christopher J. Rivet United States 8 379 1.4× 185 0.8× 295 1.5× 81 0.6× 107 1.0× 11 683
Adrián Magaz United Kingdom 9 350 1.3× 174 0.8× 262 1.3× 68 0.5× 69 0.7× 10 554
Yunyun Liang China 6 187 0.7× 173 0.8× 123 0.6× 76 0.5× 54 0.5× 7 363
Siliang Wu United States 8 353 1.3× 142 0.6× 252 1.3× 64 0.4× 129 1.3× 9 508
Zahra Hassannejad Iran 17 243 0.9× 264 1.2× 345 1.8× 100 0.7× 132 1.3× 41 735
Emily R. Aurand United States 10 204 0.8× 232 1.1× 132 0.7× 93 0.6× 82 0.8× 16 509

Countries citing papers authored by Suradip Das

Since Specialization
Citations

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

Fields of papers citing papers by Suradip Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suradip Das

This figure shows the co-authorship network connecting the top 25 collaborators of Suradip Das. A scholar is included among the top collaborators of Suradip Das 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 Suradip Das. Suradip Das is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Mourkioti, Foteini, et al.. (2025). Tensile Forces and Nanofiber Alignment Influence Both Innervated and Non‐Innervated Skeletal Myofiber Formation in Custom Mechanobioreactors. Biotechnology Journal. 20(6). e70047–e70047. 1 indexed citations
2.
Das, Suradip, et al.. (2024). Motor neurons and endothelial cells additively promote development and fusion of human iPSC-derived skeletal myocytes. Skeletal Muscle. 14(1). 5–5. 7 indexed citations
3.
Browne, Kevin D., et al.. (2023). Bedside to bench: the outlook for psychedelic research. Frontiers in Pharmacology. 14. 1240295–1240295. 8 indexed citations
4.
Das, Ajoy Kumar, et al.. (2023). Papaya latex mediated synthesis of prism shaped proteolytic gold nanozymes. Scientific Reports. 13(1). 5965–5965. 1 indexed citations
5.
Burrell, Justin C., Suradip Das, Kritika S. Katiyar, et al.. (2022). Engineered neuronal microtissue provides exogenous axons for delayed nerve fusion and rapid neuromuscular recovery in rats. Bioactive Materials. 18. 339–353. 8 indexed citations
6.
Burrell, Justin C., Kevin D. Browne, Suradip Das, et al.. (2020). A Porcine Model of Peripheral Nerve Injury Enabling Ultra-Long Regenerative Distances: Surgical Approach, Recovery Kinetics, and Clinical Relevance. Neurosurgery. 87(4). 833–846. 21 indexed citations
7.
Das, Suradip, Kevin D. Browne, Carlos A. Aguilar, et al.. (2020). Pre-innervated tissue-engineered muscle promotes a pro-regenerative microenvironment following volumetric muscle loss. Communications Biology. 3(1). 330–330. 53 indexed citations
8.
Das, Suradip, Harry C. Ledebur, Foteini Mourkioti, et al.. (2020). Innervation: the missing link for biofabricated tissues and organs. npj Regenerative Medicine. 5(1). 11–11. 79 indexed citations
9.
Katiyar, Kritika S., Laura A. Struzyna, Suradip Das, & D. Kacy Cullen. (2019). Stretch growth of motor axons in custom mechanobioreactors to generate long‐projecting axonal constructs. Journal of Tissue Engineering and Regenerative Medicine. 13(11). 2040–2054. 26 indexed citations
10.
Shen, Wen, Suradip Das, Flavia Vitale, et al.. (2018). Microfabricated intracortical extracellular matrix-microelectrodes for improving neural interfaces. Microsystems & Nanoengineering. 4(1). 30–30. 22 indexed citations
11.
Bharali, Pranjal, Suradip Das, Salam Pradeep Singh, et al.. (2018). Biocompatibility natural effect of rhamnolipids in bioremediation process on different biological systems at the site of contamination. Bioremediation Journal. 22(3-4). 91–102. 13 indexed citations
12.
Das, Suradip, et al.. (2017). Electrospun silk-polyaniline conduits for functional nerve regeneration in rat sciatic nerve injury model. Biomedical Materials. 12(4). 45025–45025. 60 indexed citations
13.
Das, Suradip, et al.. (2017). De novo transcriptome of the muga silkworm, Antheraea assamensis (Helfer). Gene. 611. 54–65. 13 indexed citations
14.
Das, Suradip, Alejandro Carnicer‐Lombarte, James W. Fawcett, & Utpal Bora. (2016). Bio-inspired nano tools for neuroscience. Progress in Neurobiology. 142. 1–22. 26 indexed citations
15.
Das, Suradip, et al.. (2015). Data in support of in vivo studies of silk based gold nano-composite conduits for functional peripheral nerve regeneration. Data in Brief. 4. 315–321. 16 indexed citations
16.
Das, Suradip, et al.. (2015). In vivo studies of silk based gold nano-composite conduits for functional peripheral nerve regeneration. Biomaterials. 62. 66–75. 123 indexed citations
17.
Das, Suradip, et al.. (2014). Functional Nucleic-Acid-Based Sensors for Environmental Monitoring. Applied Biochemistry and Biotechnology. 174(3). 1073–1091. 22 indexed citations
18.
Das, Suradip, et al.. (2012). Aptasensors in Health, Environment and Food Safety Monitoring. 1(2). 9–19. 32 indexed citations
19.
Das, Suradip, R. Chattopadhyay, M L Gulrajani, & Kushal Sen. (2005). STUDY OF PROPERTY & STRUCTURAL VARIANTS OF MULBERRY AND TASAR SILK FILAMENTS. Autex Research Journal. 5(2). 7 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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