Michael C. Mancini

3.4k total citations
7 papers, 564 citations indexed

About

Michael C. Mancini is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine and Materials Chemistry. According to data from OpenAlex, Michael C. Mancini has authored 7 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Materials Chemistry. Recurrent topics in Michael C. Mancini's work include Nanoplatforms for cancer theranostics (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Nanocluster Synthesis and Applications (1 paper). Michael C. Mancini is often cited by papers focused on Nanoplatforms for cancer theranostics (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Nanocluster Synthesis and Applications (1 paper). Michael C. Mancini collaborates with scholars based in United States. Michael C. Mancini's co-authors include Shuming Nie, Brad A. Kairdolf, Andrew M. Smith, James M. Provenzale, Aaron M. Mohs, May D. Wang, Brian Leyland‐Jones, Sunil Singhal, Shaoping Nie and Elizabeth W. Howerth and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Michael C. Mancini

7 papers receiving 560 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Mancini United States 5 285 238 208 114 71 7 564
Christina M. MacLaughlin Canada 15 194 0.7× 292 1.2× 260 1.3× 156 1.4× 64 0.9× 26 678
Vitalijus Karabanovas Lithuania 18 444 1.6× 335 1.4× 216 1.0× 65 0.6× 100 1.4× 46 804
Peihua Lin China 17 476 1.7× 347 1.5× 219 1.1× 58 0.5× 149 2.1× 44 863
Ling’e Zhang China 14 353 1.2× 452 1.9× 146 0.7× 112 1.0× 62 0.9× 18 692
Jie Xing China 12 193 0.7× 244 1.0× 95 0.5× 62 0.5× 44 0.6× 31 428
Shixuan Wei China 11 313 1.1× 533 2.2× 296 1.4× 53 0.5× 34 0.5× 14 833
Chris Jun Hui Ho Singapore 13 281 1.0× 762 3.2× 189 0.9× 105 0.9× 54 0.8× 16 935
Eshu Middha Singapore 13 433 1.5× 609 2.6× 184 0.9× 72 0.6× 68 1.0× 14 839
Takaaki Uno Japan 6 285 1.0× 412 1.7× 94 0.5× 29 0.3× 40 0.6× 9 558
Polina G. Rudakovskaya Russia 14 139 0.5× 308 1.3× 107 0.5× 51 0.4× 42 0.6× 33 484

Countries citing papers authored by Michael C. Mancini

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Mancini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Mancini

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Mancini. A scholar is included among the top collaborators of Michael C. Mancini 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 Michael C. Mancini. Michael C. Mancini 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.
Cohen, David J., Thomas Jacobs, David S. Wilson, et al.. (2025). Rapidly Polymerizing Click Hydrogel Provides Localized Delivery of rhBMP2 to Promote Bone Formation. Pharmacology Research & Perspectives. 13(3). e70119–e70119. 1 indexed citations
2.
Yoon, Younghyoun, Aaron M. Mohs, Michael C. Mancini, Shuming Nie, & Hyunsuk Shim. (2016). Combination of an Integrin-Targeting NIR Tracer and an Ultrasensitive Spectroscopic Device for Intraoperative Detection of Head and Neck Tumor Margins and Metastatic Lymph Nodes. Tomography. 2(3). 215–222. 3 indexed citations
3.
Mohs, Aaron M., Michael C. Mancini, James M. Provenzale, et al.. (2015). An Integrated Widefield Imaging and Spectroscopy System for Contrast-Enhanced, Image-Guided Resection of Tumors. IEEE Transactions on Biomedical Engineering. 62(5). 1416–1424. 19 indexed citations
4.
Provenzale, James M. & Michael C. Mancini. (2012). Assessment of intra-observer variability in measurement of high-grade brain tumors. Journal of Neuro-Oncology. 108(3). 477–483. 16 indexed citations
5.
Mohs, Aaron M., Michael C. Mancini, Sunil Singhal, et al.. (2010). Hand-held Spectroscopic Device for In Vivo and Intraoperative Tumor Detection: Contrast Enhancement, Detection Sensitivity, and Tissue Penetration. Analytical Chemistry. 82(21). 9058–9065. 166 indexed citations
6.
Kairdolf, Brad A., Michael C. Mancini, Andrew M. Smith, & Shuming Nie. (2008). Minimizing Nonspecific Cellular Binding of Quantum Dots with Hydroxyl-Derivatized Surface Coatings. Analytical Chemistry. 80(8). 3029–3034. 117 indexed citations
7.
Mancini, Michael C., Brad A. Kairdolf, Andrew M. Smith, & Shuming Nie. (2008). Oxidative Quenching and Degradation of Polymer-Encapsulated Quantum Dots: New Insights into the Long-Term Fate and Toxicity of Nanocrystals in Vivo. Journal of the American Chemical Society. 130(33). 10836–10837. 242 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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