Binata Joddar

2.1k total citations
55 papers, 1.6k citations indexed

About

Binata Joddar is a scholar working on Biomedical Engineering, Surgery and Molecular Biology. According to data from OpenAlex, Binata Joddar has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 24 papers in Surgery and 13 papers in Molecular Biology. Recurrent topics in Binata Joddar's work include 3D Printing in Biomedical Research (28 papers), Tissue Engineering and Regenerative Medicine (17 papers) and Electrospun Nanofibers in Biomedical Applications (11 papers). Binata Joddar is often cited by papers focused on 3D Printing in Biomedical Research (28 papers), Tissue Engineering and Regenerative Medicine (17 papers) and Electrospun Nanofibers in Biomedical Applications (11 papers). Binata Joddar collaborates with scholars based in United States, Japan and Canada. Binata Joddar's co-authors include Shweta Kumar, Yoshihiro Ito, Anand Ramamurthi, Matthew Alonzo, Nishat Tasnim, Alok Kumar, Munmun Chattopadhyay, Vikram Thakur, Brian B. Roman and Calvin M. Stewart and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Binata Joddar

53 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binata Joddar United States 24 1.0k 507 406 294 263 55 1.6k
Brooke L. Farrugia Australia 22 790 0.8× 790 1.6× 293 0.7× 163 0.6× 316 1.2× 47 2.0k
Chandrasekhar R. Kothapalli United States 22 915 0.9× 431 0.9× 323 0.8× 88 0.3× 264 1.0× 73 1.7k
Subha Narayan Rath India 28 1.2k 1.2× 555 1.1× 379 0.9× 296 1.0× 261 1.0× 74 1.9k
Matthew D. Davidson United States 23 1.2k 1.1× 388 0.8× 378 0.9× 284 1.0× 314 1.2× 32 1.9k
Bogyu Choi South Korea 21 985 1.0× 723 1.4× 310 0.8× 167 0.6× 388 1.5× 40 2.0k
Zhiguang Qiao China 21 820 0.8× 402 0.8× 267 0.7× 183 0.6× 349 1.3× 40 1.6k
Guang‐Zhen Jin South Korea 27 1.1k 1.1× 671 1.3× 352 0.9× 82 0.3× 336 1.3× 51 1.9k
Jesús Ciriza Spain 22 593 0.6× 322 0.6× 439 1.1× 79 0.3× 315 1.2× 62 1.5k
Yesl Jun South Korea 16 904 0.9× 425 0.8× 365 0.9× 136 0.5× 205 0.8× 19 1.3k
Lesley W. Chow United States 22 458 0.4× 720 1.4× 233 0.6× 124 0.4× 402 1.5× 38 1.4k

Countries citing papers authored by Binata Joddar

Since Specialization
Citations

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

Fields of papers citing papers by Binata Joddar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Binata Joddar

This figure shows the co-authorship network connecting the top 25 collaborators of Binata Joddar. A scholar is included among the top collaborators of Binata Joddar 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 Binata Joddar. Binata Joddar 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.
Mares, Jeremy W., et al.. (2025). Adoption of microfluidic MEA technology for electrophysiology of 3D neuronal networks exposed to suborbital conditions. npj Microgravity. 11(1). 20–20. 1 indexed citations
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Joddar, Binata, et al.. (2023). Demonstration of doxorubicin's cardiotoxicity and screening using a 3D bioprinted spheroidal droplet-based system. RSC Advances. 13(12). 8338–8351. 6 indexed citations
5.
Joddar, Binata, et al.. (2023). Inhibition of ERK 1/2 pathway downregulates YAP1/TAZ signaling in human cardiomyocytes exposed to hyperglycemic conditions. Biochemical and Biophysical Research Communications. 648. 72–80. 3 indexed citations
6.
Nagiah, Naveen, et al.. (2022). Development and Characterization of Furfuryl-Gelatin Electrospun Scaffolds for Cardiac Tissue Engineering. ACS Omega. 7(16). 13894–13905. 29 indexed citations
7.
Roman, Brian B., Shweta Kumar, Shane C. Allen, et al.. (2021). A Model for Studying the Biomechanical Effects of Varying Ratios of Collagen Types I and III on Cardiomyocytes. Cardiovascular Engineering and Technology. 12(3). 311–324. 7 indexed citations
8.
Thakur, Vikram, et al.. (2021). Cardioprotective Effect of Glycyrrhizin on Myocardial Remodeling in Diabetic Rats. Biomolecules. 11(4). 569–569. 26 indexed citations
9.
Nagiah, Naveen, et al.. (2021). 3D Bioprinted Spheroidal Droplets for Engineering the Heterocellular Coupling between Cardiomyocytes and Cardiac Fibroblasts. SHILAP Revista de lepidopterología. 2021. 30 indexed citations
10.
Alonzo, Matthew, et al.. (2020). Bone tissue engineering techniques, advances, and scaffolds for treatment of bone defects. Current Opinion in Biomedical Engineering. 17. 100248–100248. 179 indexed citations
11.
Joddar, Binata, et al.. (2020). Alginate Hydrogels with Embedded ZnO Nanoparticles for Wound Healing Therapy. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Alonzo, Matthew, et al.. (2020). Methods for histological characterization of cryo-induced myocardial infarction in a rat model. Acta Histochemica. 122(7). 151624–151624. 6 indexed citations
13.
Noveron, Juan C., et al.. (2020). <p>Alginate Hydrogels with Embedded ZnO Nanoparticles for Wound Healing Therapy</p>. International Journal of Nanomedicine. Volume 15. 5097–5111. 139 indexed citations
14.
Alonzo, Matthew, et al.. (2020). A comparative study in the printability of a bioink and 3D models across two bioprinting platforms. Materials Letters. 264. 127382–127382. 7 indexed citations
15.
Alonzo, Matthew, et al.. (2020). Hydrogel scaffolds with elasticity-mimicking embryonic substrates promote cardiac cellular network formation. Progress in Biomaterials. 9(3). 125–137. 14 indexed citations
16.
Kumar, Shweta, et al.. (2019). Fabrication of Surfactant-Dispersed HiPco Single-Walled Carbon Nanotube-Based Alginate Hydrogel Composites as Cellular Products. International Journal of Molecular Sciences. 20(19). 4802–4802. 16 indexed citations
17.
Kumar, Shweta, Matthew Alonzo, Shane C. Allen, et al.. (2019). A Visible Light-Cross-Linkable, Fibrin–Gelatin-Based Bioprinted Construct with Human Cardiomyocytes and Fibroblasts. ACS Biomaterials Science & Engineering. 5(9). 4551–4563. 76 indexed citations
18.
Kumar, Shweta, Nishat Tasnim, Shane C. Allen, et al.. (2018). A Comparative Study of a 3D Bioprinted Gelatin-Based Lattice and Rectangular-Sheet Structures. Gels. 4(3). 73–73. 16 indexed citations
19.
Tasnim, Nishat, Vikram Thakur, Munmun Chattopadhyay, & Binata Joddar. (2018). The Efficacy of Graphene Foams for Culturing Mesenchymal Stem Cells and Their Differentiation into Dopaminergic Neurons. Stem Cells International. 2018. 1–12. 38 indexed citations
20.
Joddar, Binata, Samir Ibrahim, & Anand Ramamurthi. (2007). Impact of delivery mode of hyaluronan oligomers on elastogenic responses of adult vascular smooth muscle cells. Biomaterials. 28(27). 3918–3927. 19 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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