Swati Midha

2.1k total citations · 1 hit paper
28 papers, 1.8k citations indexed

About

Swati Midha is a scholar working on Biomedical Engineering, Biomaterials and Surgery. According to data from OpenAlex, Swati Midha has authored 28 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 16 papers in Biomaterials and 9 papers in Surgery. Recurrent topics in Swati Midha's work include Bone Tissue Engineering Materials (14 papers), Silk-based biomaterials and applications (12 papers) and 3D Printing in Biomedical Research (9 papers). Swati Midha is often cited by papers focused on Bone Tissue Engineering Materials (14 papers), Silk-based biomaterials and applications (12 papers) and 3D Printing in Biomedical Research (9 papers). Swati Midha collaborates with scholars based in India, United Kingdom and Germany. Swati Midha's co-authors include Sourabh Ghosh, Keita Ito, J. Melke, Sandra Hofmann, Shibu Chameettachal, Sumit Murab, Aarushi Sharma, Shikha Chawla, Peter Lee and Sujata Mohanty and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biomaterials and Acta Biomaterialia.

In The Last Decade

Swati Midha

26 papers receiving 1.7k citations

Hit Papers

Silk fibroin as biomaterial for bone tissue engineering 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swati Midha India 20 1.2k 1.0k 274 202 196 28 1.8k
Bapi Sarker Germany 23 1.5k 1.2× 870 0.9× 262 1.0× 336 1.7× 157 0.8× 44 2.2k
Gamze Torun Köse Türkiye 30 1.3k 1.1× 1.2k 1.2× 570 2.1× 150 0.7× 244 1.2× 78 2.5k
Guangzheng Yang China 22 1.4k 1.1× 575 0.6× 462 1.7× 101 0.5× 221 1.1× 43 2.0k
Xufeng Niu China 32 2.2k 1.7× 1.4k 1.4× 484 1.8× 164 0.8× 285 1.5× 95 3.1k
Tanya J. Levingstone Ireland 26 1.3k 1.1× 787 0.8× 575 2.1× 128 0.6× 218 1.1× 38 2.2k
Pınar Yılgör Huri Türkiye 21 1.1k 0.9× 566 0.6× 418 1.5× 211 1.0× 211 1.1× 65 1.6k
Márcia T. Rodrigues Portugal 31 1.2k 0.9× 1.1k 1.1× 676 2.5× 113 0.6× 255 1.3× 68 2.6k
Sheeny K. Lan Levengood United States 16 1.1k 0.9× 627 0.6× 310 1.1× 107 0.5× 231 1.2× 17 1.6k
Wei Zhi China 21 1.1k 0.9× 575 0.6× 393 1.4× 102 0.5× 153 0.8× 59 1.6k

Countries citing papers authored by Swati Midha

Since Specialization
Citations

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

Fields of papers citing papers by Swati Midha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Midha

This figure shows the co-authorship network connecting the top 25 collaborators of Swati Midha. A scholar is included among the top collaborators of Swati Midha 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 Swati Midha. Swati Midha 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
2.
Midha, Swati, et al.. (2025). Engineering growth factor gradients to drive spatiotemporal tissue patterning in organ-on-a-chip systems. Journal of Tissue Engineering. 16. 1798816560–1798816560. 1 indexed citations
3.
Midha, Swati, et al.. (2021). Three-Dimensional Engineered Peripheral Nerve: Toward a New Era of Patient-Specific Nerve Repair Solutions. Tissue Engineering Part B Reviews. 28(2). 295–335. 20 indexed citations
4.
Midha, Swati, et al.. (2021). Design and In Vivo Testing of Novel Single-Stage Tendon Graft Using Polyurethane Nanocomposite Polymer for Tendon Reconstruction. Journal of Plastic Reconstructive & Aesthetic Surgery. 75(4). 1467–1475.
6.
Ulağ, Songül, Tuba Bedir, Mustafa Şengör, et al.. (2021). Recent developments and characterization techniques in 3D printing of corneal stroma tissue. Polymers for Advanced Technologies. 32(8). 3287–3296. 15 indexed citations
7.
Midha, Swati, et al.. (2021). Rapid tumor inhibitionviamagnetic hyperthermia regulated by caspase 3 with time-dependent clearance of iron oxide nanoparticles. Biomaterials Science. 9(8). 2972–2990. 31 indexed citations
8.
Midha, Swati, et al.. (2019). Functional Skin Grafts: Where Biomaterials Meet Stem Cells. Stem Cells International. 2019. 1–20. 57 indexed citations
9.
Midha, Swati, et al.. (2019). Advances in three‐dimensional bioprinting of bone: Progress and challenges. Journal of Tissue Engineering and Regenerative Medicine. 13(6). 925–945. 76 indexed citations
10.
Midha, Swati, Sumit Kumar, Aarushi Sharma, et al.. (2018). Silk fibroin-bioactive glass based advanced biomaterials: towards patient-specific bone grafts. Biomedical Materials. 13(5). 55012–55012. 42 indexed citations
11.
Pandey, Aditi, Swati Midha, Rajeev Kr. Sharma, et al.. (2018). Antioxidant and antibacterial hydroxyapatite-based biocomposite for orthopedic applications. Materials Science and Engineering C. 88. 13–24. 85 indexed citations
12.
Midha, Swati, Shikha Chawla, Juhi Chakraborty, Shibu Chameettachal, & Sourabh Ghosh. (2018). Differential Regulation of Hedgehog and Parathyroid Signaling in Mulberry and Nonmulberry Silk Fibroin Textile Braids. ACS Biomaterials Science & Engineering. 4(2). 595–607. 19 indexed citations
13.
Awasthi, Shikha, Swati Midha, Ambreen Nisar, et al.. (2018). Microporous Hydroxyapatite Ceramic Composites as Tissue Engineering Scaffolds: An Experimental and Computational Study. Advanced Engineering Materials. 20(7). 14 indexed citations
14.
Midha, Swati, Sumit Murab, & Sourabh Ghosh. (2016). Osteogenic signaling on silk-based matrices. Biomaterials. 97. 133–153. 106 indexed citations
15.
Midha, Swati, Rohit Tripathi, Hua Geng, Peter Lee, & Sourabh Ghosh. (2016). Elucidation of differential mineralisation on native and regenerated silk matrices. Materials Science and Engineering C. 68. 663–674. 33 indexed citations
16.
Melke, J., Swati Midha, Sourabh Ghosh, Keita Ito, & Sandra Hofmann. (2015). Silk fibroin as biomaterial for bone tissue engineering. Acta Biomaterialia. 31. 1–16. 635 indexed citations breakdown →
17.
Chameettachal, Shibu, et al.. (2015). Strategies for faster detachment of corneal cell sheet using micropatterned thermoresponsive matrices. Journal of Materials Chemistry B. 3(20). 4155–4169. 18 indexed citations
18.
Chameettachal, Shibu, et al.. (2015). Preservation of biomacromolecular composition and ultrastructure of a decellularized cornea using a perfusion bioreactor. RSC Advances. 6(3). 2225–2240. 32 indexed citations
19.
Midha, Swati, et al.. (2013). Preconditioned 70S30C bioactive glass foams promote osteogenesis in vivo. Acta Biomaterialia. 9(11). 9169–9182. 113 indexed citations
20.
Midha, Swati, et al.. (2012). Bioactive Glass Foam Scaffolds are Remodelled by Osteoclasts and Support the Formation of Mineralized Matrix and Vascular Networks In Vitro. Advanced Healthcare Materials. 2(3). 490–499. 49 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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