Md. Tipu Sultan

3.4k total citations · 2 hit papers
47 papers, 2.7k citations indexed

About

Md. Tipu Sultan is a scholar working on Biomaterials, Biomedical Engineering and Surgery. According to data from OpenAlex, Md. Tipu Sultan has authored 47 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomaterials, 16 papers in Biomedical Engineering and 11 papers in Surgery. Recurrent topics in Md. Tipu Sultan's work include Silk-based biomaterials and applications (17 papers), 3D Printing in Biomedical Research (9 papers) and Natural Fiber Reinforced Composites (6 papers). Md. Tipu Sultan is often cited by papers focused on Silk-based biomaterials and applications (17 papers), 3D Printing in Biomedical Research (9 papers) and Natural Fiber Reinforced Composites (6 papers). Md. Tipu Sultan collaborates with scholars based in South Korea, United States and Nigeria. Md. Tipu Sultan's co-authors include Ok Joo Lee, Chan Hum Park, Soon Hee Kim, Ji Seung Lee, Ye Been Seo, Olatunji Ajiteru, Heesun Hong, Yeung Kyu Yeon, Young‐Jin Lee and Young Jin Lee and has published in prestigious journals such as Nature Communications, Nano Letters and Biomaterials.

In The Last Decade

Md. Tipu Sultan

44 papers receiving 2.7k citations

Hit Papers

Precisely printable and biocompatible silk fibroin bioink... 2018 2026 2020 2023 2018 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Md. Tipu Sultan South Korea 23 1.6k 1.3k 669 370 311 47 2.7k
Ji Seung Lee South Korea 22 1.5k 1.0× 1.1k 0.8× 676 1.0× 342 0.9× 165 0.5× 37 2.4k
Ok Joo Lee South Korea 32 2.0k 1.3× 2.1k 1.5× 723 1.1× 517 1.4× 515 1.7× 55 3.7k
Marta Madaghiele Italy 30 1.5k 0.9× 1.8k 1.3× 246 0.4× 339 0.9× 328 1.1× 63 3.4k
Dario Puppi Italy 32 1.9k 1.2× 1.8k 1.3× 816 1.2× 496 1.3× 128 0.4× 80 3.3k
Ugo D’Amora Italy 30 1.8k 1.1× 983 0.7× 505 0.8× 527 1.4× 128 0.4× 75 2.7k
Kaige Xu China 24 1.5k 0.9× 727 0.5× 493 0.7× 448 1.2× 287 0.9× 48 2.6k
Ambalangodage C. Jayasuriya United States 27 2.2k 1.4× 1.3k 1.0× 311 0.5× 569 1.5× 343 1.1× 73 3.8k
Dai‐Xu Wei China 35 1.7k 1.1× 1.4k 1.0× 288 0.4× 309 0.8× 228 0.7× 79 3.3k
Zhonghan Wang China 25 1.3k 0.8× 881 0.7× 232 0.3× 602 1.6× 621 2.0× 62 2.7k
Xiumei Mo China 34 2.4k 1.5× 2.9k 2.2× 578 0.9× 1.0k 2.7× 401 1.3× 86 4.5k

Countries citing papers authored by Md. Tipu Sultan

Since Specialization
Citations

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

Fields of papers citing papers by Md. Tipu Sultan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Md. Tipu Sultan. 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 Md. Tipu Sultan. The network helps show where Md. Tipu Sultan may publish in the future.

Co-authorship network of co-authors of Md. Tipu Sultan

This figure shows the co-authorship network connecting the top 25 collaborators of Md. Tipu Sultan. A scholar is included among the top collaborators of Md. Tipu Sultan 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 Md. Tipu Sultan. Md. Tipu Sultan 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
3.
Choi, Kyu Young, Olatunji Ajiteru, Heesun Hong, et al.. (2023). A digital light processing 3D-printed artificial skin model and full-thickness wound models using silk fibroin bioink. Acta Biomaterialia. 164. 159–174. 49 indexed citations
4.
Sultan, Md. Tipu, Heesun Hong, Ok Joo Lee, et al.. (2022). Silk Fibroin-Based Biomaterials for Hemostatic Applications. Biomolecules. 12(5). 660–660. 40 indexed citations
5.
Park, Hae Sang, Ji Seung Lee, In‐Sun Hong, et al.. (2022). Fluidic integrated 3D bioprinting system to sustain cell viability towards larynx fabrication. Bioengineering & Translational Medicine. 8(2). e10423–e10423. 11 indexed citations
6.
Lee, Hanna, Soon Hee Kim, Ji Seung Lee, et al.. (2022). Functional Skeletal Muscle Regeneration Using Muscle Mimetic Tissue Fabricated by Microvalve‐Assisted Coaxial 3D Bioprinting. Advanced Healthcare Materials. 12(7). e2202664–e2202664. 23 indexed citations
7.
Sultan, Md. Tipu, Ok Joo Lee, Joong Seob Lee, & Chan Hum Park. (2022). Three-Dimensional Digital Light-Processing Bioprinting Using Silk Fibroin-Based Bio-Ink: Recent Advancements in Biomedical Applications. Biomedicines. 10(12). 3224–3224. 31 indexed citations
8.
Choi, Kyu Young, Md. Tipu Sultan, Olatunji Ajiteru, et al.. (2021). Treatment of Fungal-Infected Diabetic Wounds with Low Temperature Plasma. Biomedicines. 10(1). 27–27. 13 indexed citations
9.
Kim, Soon Hee, Heesun Hong, Olatunji Ajiteru, et al.. (2021). 3D bioprinted silk fibroin hydrogels for tissue engineering. Nature Protocols. 16(12). 5484–5532. 206 indexed citations
10.
Ajiteru, Olatunji, Md. Tipu Sultan, Young Jin Lee, et al.. (2020). A 3D Printable Electroconductive Biocomposite Bioink Based on Silk Fibroin-Conjugated Graphene Oxide. Nano Letters. 20(9). 6873–6883. 63 indexed citations
11.
Kim, Soon Hee, Young Jin Lee, Janet Ren Chao, et al.. (2020). Rapidly photocurable silk fibroin sealant for clinical applications. NPG Asia Materials. 12(1). 59 indexed citations
12.
Sultan, Md. Tipu, Bo Young Choi, Olatunji Ajiteru, et al.. (2020). Reinforced-hydrogel encapsulated hMSCs towards brain injury treatment by trans-septal approach. Biomaterials. 266. 120413–120413. 44 indexed citations
13.
Kim, Soon Hee, Ye Been Seo, Yeung Kyu Yeon, et al.. (2020). 4D-bioprinted silk hydrogels for tissue engineering. Biomaterials. 260. 120281–120281. 238 indexed citations
14.
Park, Hae Sang, Ji Seung Lee, Harry Jung, et al.. (2018). An omentum-cultured 3D-printed artificial trachea: in vivo bioreactor. Artificial Cells Nanomedicine and Biotechnology. 46(sup3). 1131–1140. 28 indexed citations
15.
Sultan, Md. Tipu, Bo Mi Moon, Jae Won Yang, et al.. (2018). Recirculating peritoneal dialysis system using urease-fixed silk fibroin membrane filter with spherical carbonaceous adsorbent. Materials Science and Engineering C. 97. 55–66. 15 indexed citations
16.
Kim, Soon Hee, Yeung Kyu Yeon, Jung Min Lee, et al.. (2018). Precisely printable and biocompatible silk fibroin bioink for digital light processing 3D printing. Nature Communications. 9(1). 1620–1620. 793 indexed citations breakdown →
17.
Sultan, Md. Tipu, et al.. (2017). Artificial Auricular Cartilage Using Silk Fibroin and Polyvinyl Alcohol Hydrogel. International Journal of Molecular Sciences. 18(8). 1707–1707. 81 indexed citations
18.
Park, Ye Ri, Md. Tipu Sultan, Hyun-Jung Park, et al.. (2017). NF-κB signaling is key in the wound healing processes of silk fibroin. Acta Biomaterialia. 67. 183–195. 195 indexed citations
19.
Kim, Soo Hyeon, Bo Mi Moon, Ye Ri Park, et al.. (2017). Application of a Collagen Patch Derived from Duck Feet in Acute Tympanic Membrane Perforation. Tissue Engineering and Regenerative Medicine. 14(3). 233–241. 14 indexed citations
20.
Jung, Jun‐Sub, Ji-Jing Yan, Hongmei Li, et al.. (2016). Protective effects of a dimeric derivative of ferulic acid in animal models of Alzheimer's disease. European Journal of Pharmacology. 782. 30–34. 26 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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