Maria Chiara Munisso

524 total citations
32 papers, 416 citations indexed

About

Maria Chiara Munisso is a scholar working on Surgery, Molecular Biology and Biomaterials. According to data from OpenAlex, Maria Chiara Munisso has authored 32 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 6 papers in Molecular Biology and 6 papers in Biomaterials. Recurrent topics in Maria Chiara Munisso's work include Electrospun Nanofibers in Biomedical Applications (5 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Wound Healing and Treatments (4 papers). Maria Chiara Munisso is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (5 papers), Tissue Engineering and Regenerative Medicine (4 papers) and Wound Healing and Treatments (4 papers). Maria Chiara Munisso collaborates with scholars based in Japan, United States and Canada. Maria Chiara Munisso's co-authors include Giuseppe Pezzotti, Tetsuji Yamaoka, Wenliang Zhu, Atsushi Mahara, Alessandro Alan Porporati, Naoki Morimoto, Kenji Kusumoto, Natsuko Kakudo, Yusuke Kambe and Toshihito Mitsui and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Biomaterials.

In The Last Decade

Maria Chiara Munisso

30 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Chiara Munisso Japan 12 122 110 101 90 60 32 416
Yumi Tanaka Japan 15 126 1.0× 83 0.8× 345 3.4× 272 3.0× 22 0.4× 57 732
Cong Fan China 14 79 0.6× 42 0.4× 187 1.9× 199 2.2× 25 0.4× 24 592
Philip H. Corkhill United Kingdom 11 188 1.5× 111 1.0× 265 2.6× 57 0.6× 85 1.4× 12 737
Yunfan Zhang China 14 117 1.0× 68 0.6× 259 2.6× 67 0.7× 20 0.3× 44 686
Thomas Reske Germany 15 64 0.5× 168 1.5× 180 1.8× 37 0.4× 18 0.3× 54 588
Yunzhen Cao China 18 53 0.4× 63 0.6× 249 2.5× 343 3.8× 46 0.8× 32 941
Yashoda Chandorkar Switzerland 12 176 1.4× 75 0.7× 383 3.8× 41 0.5× 67 1.1× 16 616
A.C. Popa Romania 15 92 0.8× 69 0.6× 350 3.5× 111 1.2× 14 0.2× 18 458
V. Starý Czechia 10 115 0.9× 108 1.0× 268 2.7× 200 2.2× 65 1.1× 36 547
Andrew Bradshaw United States 11 99 0.8× 55 0.5× 97 1.0× 76 0.8× 12 0.2× 19 608

Countries citing papers authored by Maria Chiara Munisso

Since Specialization
Citations

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

Fields of papers citing papers by Maria Chiara Munisso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Chiara Munisso. 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 Maria Chiara Munisso. The network helps show where Maria Chiara Munisso may publish in the future.

Co-authorship network of co-authors of Maria Chiara Munisso

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Chiara Munisso. A scholar is included among the top collaborators of Maria Chiara Munisso 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 Maria Chiara Munisso. Maria Chiara Munisso 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.
2.
Munisso, Maria Chiara, Chang Liu, Goshiro Yamamoto, et al.. (2023). PreFlap: From Photoacoustic Tomography Images to Vascular Mapping Sheets for Improved Preoperative Flap Evaluation. IEEE Transactions on Biomedical Engineering. 71(1). 139–149. 3 indexed citations
3.
Tsuge, Itaru, Maria Chiara Munisso, Yoshihiro Sowa, et al.. (2023). Preoperative visualization of midline-crossing subcutaneous arteries in transverse abdominal flaps using photoacoustic tomography. Journal of Plastic Reconstructive & Aesthetic Surgery. 84. 165–175. 2 indexed citations
5.
Morimoto, Naoki, Toshihito Mitsui, Maria Chiara Munisso, et al.. (2020). Hydrostatic pressure can induce apoptosis of the skin. Scientific Reports. 10(1). 17594–17594. 19 indexed citations
6.
Mitsui, Toshihito, Naoki Morimoto, Atsushi Mahara, et al.. (2020). Exploration of the Pressurization Condition for Killing Human Skin Cells and Skin Tumor Cells by High Hydrostatic Pressure. BioMed Research International. 2020(1). 9478789–9478789. 7 indexed citations
7.
Ho, William, Maria Chiara Munisso, Sidney Omelon, et al.. (2020). <p>The Implication of Spatial Statistics in Human Mesenchymal Stem Cell Response to Nanotubular Architectures</p>. International Journal of Nanomedicine. Volume 15. 2151–2169. 4 indexed citations
8.
Morimoto, Naoki, et al.. (2020). A comparison of the wound healing process after the application of three dermal substitutes with or without basic fibroblast growth factor impregnation in diabetic mice. Journal of Plastic Reconstructive & Aesthetic Surgery. 73(8). 1547–1555. 31 indexed citations
9.
Munisso, Maria Chiara & Tetsuji Yamaoka. (2019). Evolution of Phage Display Approaches to Select Highly Specific Hemocompatible Peptides. Tissue Engineering Part C Methods. 25(5). 288–295. 8 indexed citations
10.
Munisso, Maria Chiara & Tetsuji Yamaoka. (2019). Circulating endothelial progenitor cells in small-diameter artificial blood vessel. Journal of Artificial Organs. 23(1). 6–13. 9 indexed citations
12.
Munisso, Maria Chiara, Atsushi Mahara, & Tetsuji Yamaoka. (2018). Design of in situ porcine closed-circuit system for assessing blood-contacting biomaterials. Journal of Artificial Organs. 21(3). 317–324. 16 indexed citations
13.
Tachibana, Yoichi, et al.. (2014). Quick nuclear transportation of siRNA and in vivo hepatic ApoB gene silencing with galactose-bearing polymeric carrier. Journal of Biotechnology. 175. 15–21. 6 indexed citations
14.
Munisso, Maria Chiara, Satoshi Obika, & Tetsuji Yamaoka. (2014). Nucleic acid delivery systems based on poly(galactosyl ureaethyl methacrylate-b-dimethylamino ethyl methacrylate) diblock copolymers. Carbohydrate Polymers. 114. 288–296. 3 indexed citations
15.
Munisso, Maria Chiara, Jeong‐Hun Kang, M Tsurufuji, & Tetsuji Yamaoka. (2012). Cilomilast enhances osteoblast differentiation of mesenchymal stem cells and bone formation induced by bone morphogenetic protein 2. Biochimie. 94(11). 2360–2365. 10 indexed citations
16.
Munisso, Maria Chiara, Atsushi Mahara, Yoichi Tachibana, et al.. (2012). Hepatocyte-Specific Gene Delivery with Galactose-Bearing Cationic Polymers with Different Molecular Structures. Advances in science and technology. 86. 86–91. 2 indexed citations
17.
Pezzotti, Giuseppe, et al.. (2010). Quantitative assessments of residual stress fields at the surface of alumina hip joints. Journal of Biomedical Materials Research Part B Applied Biomaterials. 95B(2). 250–262. 12 indexed citations
19.
Munisso, Maria Chiara, et al.. (2008). Stress Dependence of Paramagnetic Point Defects in Amorphous Silicon Oxide. The Journal of Physical Chemistry A. 112(17). 3927–3934. 6 indexed citations
20.
Pezzotti, Giuseppe, et al.. (2007). Stress Dependence of Optically Active Diamagnetic Point Defects in Silicon Oxynitride. The Journal of Physical Chemistry A. 111(34). 8367–8373. 2 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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