Massimo G. Noro

2.3k total citations
43 papers, 1.9k citations indexed

About

Massimo G. Noro is a scholar working on Molecular Biology, Organic Chemistry and Pharmaceutical Science. According to data from OpenAlex, Massimo G. Noro has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 19 papers in Organic Chemistry and 15 papers in Pharmaceutical Science. Recurrent topics in Massimo G. Noro's work include Surfactants and Colloidal Systems (19 papers), Lipid Membrane Structure and Behavior (19 papers) and Advancements in Transdermal Drug Delivery (14 papers). Massimo G. Noro is often cited by papers focused on Surfactants and Colloidal Systems (19 papers), Lipid Membrane Structure and Behavior (19 papers) and Advancements in Transdermal Drug Delivery (14 papers). Massimo G. Noro collaborates with scholars based in United Kingdom, Netherlands and United States. Massimo G. Noro's co-authors include Daan Frenkel, Jamshed Anwar, Rebecca Notman, Chinmay Das, Brendan O’Malley, Peter D. Olmsted, Wouter K. den Otter, W. J. Briels, Norbert Kern and Mario Orsi and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.

In The Last Decade

Massimo G. Noro

42 papers receiving 1.8k citations

Peers

Massimo G. Noro

Alain Hédoux France

Yannick Guinet France

Frédéric Affouard France

Lise Arleth Denmark

Alex Bunker Finland

P. Lesieur France

Sandra Ristori Italy

Russell DeVane United States

Arnljot Elgsaeter Norway

Laurent Paccou France

Alain Hédoux France

Massimo G. Noro

798 ×1.0

1.5k ×2.7

294 ×0.5

373 ×1.0

254 ×0.8

Citations per year, relative to Massimo G. Noro Massimo G. Noro (= 1×) peers Alain Hédoux

Countries citing papers authored by Massimo G. Noro

Since Specialization

Citations

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

Fields of papers citing papers by Massimo G. Noro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Massimo G. Noro. 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 Massimo G. Noro. The network helps show where Massimo G. Noro may publish in the future.

Co-authorship network of co-authors of Massimo G. Noro

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

All Works

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20 of 20 papers shown

Noro, Massimo G., et al.. (2018). Mechanisms of lipid extraction from skin lipid bilayers by sebum triglycerides. Physical Chemistry Chemical Physics. 21(3). 1471–1477. 12 indexed citations

Das, Chinmay, et al.. (2016). Effect of monoglycerides and fatty acids on a ceramide bilayer. Physical Chemistry Chemical Physics. 18(26). 17446–17460. 24 indexed citations

Johnston, Michael A., William C. Swope, Kirk E. Jordan, et al.. (2016). Toward a Standard Protocol for Micelle Simulation. The Journal of Physical Chemistry B. 120(26). 6337–6351. 54 indexed citations

Bray, David J., Tiffany R. Walsh, Massimo G. Noro, & Rebecca Notman. (2015). Complete Structure of an Epithelial Keratin Dimer: Implications for Intermediate Filament Assembly. PLoS ONE. 10(7). e0132706–e0132706. 31 indexed citations

Periasamy, N., et al.. (2014). Towards a simplified model membrane of skin lipids : preparation and characterisation of a ternary lipid mixture. Lancaster EPrints (Lancaster University). 4 indexed citations

Zhao, Yanyan, Jan K. Marzinek, Peter J. Bond, et al.. (2014). A Study on Fe2+ – α-Helical-Rich Keratin Complex Formation Using Isothermal Titration Calorimetry and Molecular Dynamics Simulation. Journal of Pharmaceutical Sciences. 103(4). 1224–1232. 9 indexed citations

Das, Chinmay, Massimo G. Noro, & Peter D. Olmsted. (2013). Lamellar and Inverse Micellar Structures of Skin Lipids: Effect of Templating. Physical Review Letters. 111(14). 148101–148101. 37 indexed citations

Zhao, Yanyan, Longjian Chen, Lujia Han, et al.. (2013). Molecular and thermodynamic basis for EGCG‐Keratin interaction‐part II: Experimental investigation. AIChE Journal. 59(12). 4824–4827. 8 indexed citations

Hoopes, Matthew I., Massimo G. Noro, Marjorie L. Longo, & Roland Faller. (2011). Bilayer Structure and Lipid Dynamics in a Model Stratum Corneum with Oleic Acid. The Journal of Physical Chemistry B. 115(12). 3164–3171. 63 indexed citations

10.

Orsi, Mario, Massimo G. Noro, & Jonathan W. Essex. (2010). Dual-resolution molecular dynamics simulation of antimicrobials in biomembranes. Journal of The Royal Society Interface. 8(59). 826–841. 47 indexed citations

11.

Das, Chinmay, Massimo G. Noro, & Peter D. Olmsted. (2009). Simulation Studies of Stratum Corneum Lipid Mixtures. Biophysical Journal. 97(7). 1941–1951. 135 indexed citations

12.

Notman, Rebecca, Jamshed Anwar, W. J. Briels, Massimo G. Noro, & Wouter K. den Otter. (2008). Simulations of Skin Barrier Function: Free Energies of Hydrophobic and Hydrophilic Transmembrane Pores in Ceramide Bilayers. Biophysical Journal. 95(10). 4763–4771. 38 indexed citations

13.

O’Malley, Brendan, et al.. (2004). Towards a Mechanical Model of Skin: Insights into Stratum Corneum Mechanical Properties from Hierarchical Models of Lipid Organisation. MRS Proceedings. 844. 1 indexed citations

14.

Noro, Massimo G., Prem K. C. Paul, & Patrick B. Warren. (2003). Linking Atomistic and Mesoscale Simulations of Water-Soluble Polymers. Journal of the American Chemical Society. 125(24). 7190–7191. 4 indexed citations

15.

Noro, Massimo G., Martin A. Bates, Alain Brisson, & Daan Frenkel. (2002). Modeling the Phase Behavior of the Membrane Binding Protein Annexin V. Langmuir. 18(8). 2988–2992. 5 indexed citations

16.

Anwar, Jamshed, Daan Frenkel, & Massimo G. Noro. (2002). Calculation of the melting point of NaCl by molecular simulation. The Journal of Chemical Physics. 118(2). 728–735. 114 indexed citations

17.

Flaviis, Franco De, Massimo G. Noro, & N.G. Alexopoulos. (2002). Diaz-Fitzgerald time domain (D-FTD) technique applied to electromagnetic problems. 2. 1047–1050. 3 indexed citations

18.

Noro, Massimo G. & William M. Gelbart. (1999). Theory of lamellar–lamellar phase transitions in pure and mixed surfactant solutions. The Journal of Chemical Physics. 111(8). 3733–3743. 15 indexed citations

19.

Noro, Massimo G., Norbert Kern, & Daan Frenkel. (1999). The role of long-range forces in the phase behavior of colloids and proteins. Europhysics Letters (EPL). 48(3). 332–338. 74 indexed citations

20.

Noro, Massimo G., et al.. (1993). A molecular dynamics study of structure and dynamics in high-density liquids. Molecular Physics. 79(1). 235–241. 5 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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