Mark Van Dyke

6.9k total citations · 1 hit paper
91 papers, 5.2k citations indexed

About

Mark Van Dyke is a scholar working on Biomaterials, Building and Construction and Surgery. According to data from OpenAlex, Mark Van Dyke has authored 91 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Biomaterials, 28 papers in Building and Construction and 27 papers in Surgery. Recurrent topics in Mark Van Dyke's work include Dyeing and Modifying Textile Fibers (27 papers), Silk-based biomaterials and applications (25 papers) and Wound Healing and Treatments (17 papers). Mark Van Dyke is often cited by papers focused on Dyeing and Modifying Textile Fibers (27 papers), Silk-based biomaterials and applications (25 papers) and Wound Healing and Treatments (17 papers). Mark Van Dyke collaborates with scholars based in United States, Germany and Italy. Mark Van Dyke's co-authors include Anthony Atala, Thomas L. Smith, Paulina S. Hill, Roche C. de Guzman, Mark E. Furth, Helen T. Brantley, L. Andrew Koman, Jillian R. Richter, Peter J. Apel and Justin M. Saul and has published in prestigious journals such as Nature Biotechnology, PLoS ONE and Biomaterials.

In The Last Decade

Mark Van Dyke

90 papers receiving 5.1k citations

Hit Papers

A Review of Keratin-Based Biomaterials for Biomedical App... 2010 2026 2015 2020 2010 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Van Dyke United States 36 2.8k 1.5k 1.4k 1.4k 744 91 5.2k
Jiashing Yu Taiwan 32 1.4k 0.5× 1.5k 1.0× 879 0.6× 130 0.1× 84 0.1× 120 3.2k
Biman B. Mandal India 57 6.3k 2.3× 4.0k 2.6× 1.5k 1.0× 102 0.1× 111 0.1× 184 9.8k
Lay Poh Tan Singapore 46 2.0k 0.7× 3.7k 2.4× 1.1k 0.8× 122 0.1× 84 0.1× 116 6.3k
Justin M. Saul United States 24 958 0.3× 676 0.4× 327 0.2× 290 0.2× 167 0.2× 43 2.0k
Vítor M. Correlo Portugal 44 1.9k 0.7× 2.4k 1.6× 629 0.4× 84 0.1× 57 0.1× 109 5.2k
Antonella Motta Italy 48 4.8k 1.7× 3.5k 2.3× 1.3k 0.9× 95 0.1× 44 0.1× 179 7.6k
Dimitrios I. Zeugolis Ireland 47 3.9k 1.4× 3.2k 2.1× 2.3k 1.6× 40 0.0× 191 0.3× 161 8.1k
Kacey G. Marra United States 57 3.9k 1.4× 3.1k 2.0× 3.3k 2.3× 40 0.0× 243 0.3× 174 10.1k
Rangam Rajkhowa Australia 31 3.0k 1.1× 1.2k 0.8× 262 0.2× 233 0.2× 38 0.1× 100 3.9k
Yasushi Tamada Japan 33 2.6k 0.9× 1.2k 0.8× 429 0.3× 74 0.1× 49 0.1× 109 3.8k

Countries citing papers authored by Mark Van Dyke

Since Specialization
Citations

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

Fields of papers citing papers by Mark Van Dyke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Van Dyke. 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 Mark Van Dyke. The network helps show where Mark Van Dyke may publish in the future.

Co-authorship network of co-authors of Mark Van Dyke

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Van Dyke. A scholar is included among the top collaborators of Mark Van Dyke 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 Mark Van Dyke. Mark Van Dyke 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.
Lee, Suyoung, Mark Van Dyke, & Minkyu Kim. (2025). Recombinant keratin: Comprehensive review of synthesis, hierarchical assembly, properties, and applications. Acta Biomaterialia. 198. 1–21. 1 indexed citations
2.
Dyke, Mark Van, et al.. (2021). Keratose hydrogel for tissue regeneration and drug delivery. Seminars in Cell and Developmental Biology. 128. 145–153. 11 indexed citations
3.
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
4.
Dyke, Mark Van, et al.. (2020). A keratin-based microparticle for cell delivery. Journal of Biomaterials Applications. 35(6). 579–591. 10 indexed citations
5.
Parker, Rachael N., et al.. (2020). A comparative study of materials assembled from recombinant K31 and K81 and extracted human hair keratins. Biomedical Materials. 15(6). 65006–65006. 6 indexed citations
6.
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
7.
Kathawala, Mustafa Hussain, Wei Long Ng, Dan Liu, et al.. (2019). Healing of Chronic Wounds: An Update of Recent Developments and Future Possibilities. Tissue Engineering Part B Reviews. 25(5). 429–444. 79 indexed citations
8.
Bracey, Daniel N., Thorsten M. Seyler, Alexander H. Jinnah, et al.. (2018). A Decellularized Porcine Xenograft-Derived Bone Scaffold for Clinical Use as a Bone Graft Substitute: A Critical Evaluation of Processing and Structure. Journal of Functional Biomaterials. 9(3). 45–45. 57 indexed citations
9.
Dyke, Mark Van, et al.. (2018). Effects of Differing Purification Methods on Properties of Keratose Biomaterials. ACS Biomaterials Science & Engineering. 4(4). 1316–1323. 7 indexed citations
10.
Zhang, Peter, et al.. (2018). Roof Failure in Longwall Headgates – Causes, Risks, and Prevention. 52nd U.S. Rock Mechanics/Geomechanics Symposium. 4 indexed citations
11.
Goodwin, Cleon W., et al.. (2016). Assessment of Deep Partial Thickness Burn Treatment with Keratin Biomaterial Hydrogels in a Swine Model. BioMed Research International. 2016. 1–10. 19 indexed citations
12.
Bertram, Timothy A., Peter C. Johnson, Bill Tawil, Mark Van Dyke, & Kiki B. Hellman. (2015). Enhancing Tissue Engineering and Regenerative Medicine Product Commercialization: The Role of Science in Regulatory Decision-Making for the TE/RM Product Development. Tissue Engineering Part A. 21(19-20). 2476–2479. 9 indexed citations
13.
Johnson, Peter C., et al.. (2014). Awareness of the Role of Science in the FDA Regulatory Submission Process: A Survey of the TERMIS-Americas Membership. Tissue Engineering Part A. 20(11-12). 1565–1582. 2 indexed citations
14.
Tawil, Bill, et al.. (2013). Bench to Business: A Framework to Assess Technology Readiness. Tissue Engineering Part A. 19(21-22). 2314–2317. 4 indexed citations
15.
Hill, Paulina S., Peter J. Apel, Tom L. Smith, et al.. (2011). Repair of Peripheral Nerve Defects in Rabbits Using Keratin Hydrogel Scaffolds. Tissue Engineering Part A. 17(11-12). 1499–1505. 74 indexed citations
16.
Saul, Justin M., et al.. (2011). Keratin hydrogels support the sustained release of bioactive ciprofloxacin. Journal of Biomedical Materials Research Part A. 98A(4). 544–553. 92 indexed citations
17.
Kim, Jong‐Il, Yun-Tae Kim, Nari Jeon, et al.. (2009). A Study on Proliferation and Phenotypical Stability of Schwann Cell on Keratin/PLGA Film. Polymer Korea. 33(2). 118–123. 1 indexed citations
19.
Kim, Jong‐Il, Sang Jin Lee, James J. Yoo, et al.. (2008). Preparation and Characterization of PLGA Scaffold Impregnated Keratin for Tissue Engineering Application. 32(5). 403–408. 1 indexed citations
20.
Lee, Sang Jin, et al.. (2008). Effect of Keratin/PLGA Hybrid Scaffold for Chondrogenesis : In Vitro Test. Tissue Engineering and Regenerative Medicine. 5(4). 861–868. 1 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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