Rucsanda C. Preda

3.3k total citations · 1 hit paper
7 papers, 2.6k citations indexed

About

Rucsanda C. Preda is a scholar working on Biomaterials, Rheumatology and Surgery. According to data from OpenAlex, Rucsanda C. Preda has authored 7 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomaterials, 3 papers in Rheumatology and 2 papers in Surgery. Recurrent topics in Rucsanda C. Preda's work include Silk-based biomaterials and applications (7 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Antimicrobial Peptides and Activities (2 papers). Rucsanda C. Preda is often cited by papers focused on Silk-based biomaterials and applications (7 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Antimicrobial Peptides and Activities (2 papers). Rucsanda C. Preda collaborates with scholars based in United States. Rucsanda C. Preda's co-authors include David L. Kaplan, Michael L. Lovett, Tuna Yücel, Danielle N. Rockwood, Xiaoqin Wang, Gary G. Leisk, Fiorenzo G. Omenetto, Li Zeng, Heenam Kwon and Lin Sun and has published in prestigious journals such as Nature Protocols, Acta Biomaterialia and Osteoarthritis and Cartilage.

In The Last Decade

Rucsanda C. Preda

7 papers receiving 2.5k citations

Hit Papers

Materials fabrication from Bombyx mori silk fibroin 2011 2026 2016 2021 2011 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rucsanda C. Preda United States 7 2.1k 996 467 318 215 7 2.6k
Jonathan A. Kluge United States 24 2.6k 1.2× 1.0k 1.0× 739 1.6× 416 1.3× 223 1.0× 34 3.2k
Frank Diaz United States 8 2.4k 1.2× 765 0.8× 594 1.3× 319 1.0× 222 1.0× 15 2.9k
Jodie E. Moreau United States 15 1.9k 0.9× 1.1k 1.1× 442 0.9× 275 0.9× 201 0.9× 23 2.7k
Danielle N. Rockwood United States 12 2.7k 1.3× 1.5k 1.5× 529 1.1× 358 1.1× 206 1.0× 15 3.3k
Banani Kundu India 25 2.5k 1.2× 1.5k 1.5× 560 1.2× 264 0.8× 261 1.2× 47 3.5k
Caroline M. Jakuba United States 5 2.4k 1.2× 774 0.8× 709 1.5× 319 1.0× 216 1.0× 6 2.9k
Mingzhong Li China 24 1.7k 0.8× 729 0.7× 344 0.7× 293 0.9× 168 0.8× 39 2.0k
Mingzhong Li China 25 1.9k 0.9× 719 0.7× 460 1.0× 234 0.7× 105 0.5× 85 2.3k
Claudio Migliaresi Italy 29 2.0k 0.9× 1.0k 1.0× 331 0.7× 347 1.1× 90 0.4× 61 2.8k
Benjamin P. Partlow United States 22 1.6k 0.7× 847 0.9× 377 0.8× 270 0.8× 118 0.5× 27 2.2k

Countries citing papers authored by Rucsanda C. Preda

Since Specialization
Citations

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

Fields of papers citing papers by Rucsanda C. Preda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rucsanda C. Preda. 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 Rucsanda C. Preda. The network helps show where Rucsanda C. Preda may publish in the future.

Co-authorship network of co-authors of Rucsanda C. Preda

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

All Works

7 of 7 papers shown
1.
Hardy, John G., Zin Z. Khaing, Shangjing Xin, et al.. (2015). Into the groove: instructive silk-polypyrrole films with topographical guidance cues direct DRG neurite outgrowth. Journal of Biomaterials Science Polymer Edition. 26(17). 1327–1342. 23 indexed citations
2.
Hardy, John G., Sydney A. Geissler, David Aguilar, et al.. (2015). Instructive Conductive 3D Silk Foam‐Based Bone Tissue Scaffolds Enable Electrical Stimulation of Stem Cells for Enhanced Osteogenic Differentiation. Macromolecular Bioscience. 15(11). 1490–1496. 46 indexed citations
3.
Kwon, Heenam, Lin Sun, Dana M. Cairns, et al.. (2014). Scaffold structure and fabrication method affect proinflammatory milieu in three‐dimensional‐cultured chondrocytes. Journal of Biomedical Materials Research Part A. 103(2). 534–544. 7 indexed citations
4.
Kwon, Heenam, et al.. (2013). Muscle cell-derived factors inhibit inflammatory stimuli-induced damage in hMSC-derived chondrocytes. Osteoarthritis and Cartilage. 21(7). 990–998. 17 indexed citations
5.
Kwon, Heenam, Lin Sun, Dana M. Cairns, et al.. (2013). The influence of scaffold material on chondrocytes under inflammatory conditions. Acta Biomaterialia. 9(5). 6563–6575. 34 indexed citations
6.
Preda, Rucsanda C., Gary G. Leisk, Fiorenzo G. Omenetto, & David L. Kaplan. (2013). Bioengineered Silk Proteins to Control Cell and Tissue Functions. Methods in molecular biology. 996. 19–41. 38 indexed citations
7.
Rockwood, Danielle N., Rucsanda C. Preda, Tuna Yücel, et al.. (2011). Materials fabrication from Bombyx mori silk fibroin. Nature Protocols. 6(10). 1612–1631. 2406 indexed citations breakdown →

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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