M. Pissavini

509 total citations
23 papers, 399 citations indexed

About

M. Pissavini is a scholar working on Dermatology, Health, Toxicology and Mutagenesis and Immunology. According to data from OpenAlex, M. Pissavini has authored 23 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Dermatology, 5 papers in Health, Toxicology and Mutagenesis and 4 papers in Immunology. Recurrent topics in M. Pissavini's work include Skin Protection and Aging (18 papers), Psoriasis: Treatment and Pathogenesis (4 papers) and Advancements in Transdermal Drug Delivery (2 papers). M. Pissavini is often cited by papers focused on Skin Protection and Aging (18 papers), Psoriasis: Treatment and Pathogenesis (4 papers) and Advancements in Transdermal Drug Delivery (2 papers). M. Pissavini collaborates with scholars based in Monaco, United Kingdom and France. M. Pissavini's co-authors include L. Ferrero, L. Zastrow, Olivier Doucet, Brian Diffey, F Boyer, Ludger Kolbe, Paul J. Matts, D. Moyal, M. W. Brown and C. Bertin and has published in prestigious journals such as Journal of Biomedical Optics, Journal of the American Society for Mass Spectrometry and Photochemical & Photobiological Sciences.

In The Last Decade

M. Pissavini

20 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Pissavini Monaco 13 304 68 59 50 37 23 399
Paul R. Tanner United States 6 302 1.0× 60 0.9× 71 1.2× 58 1.2× 28 0.8× 7 376
T. Rudolph Germany 6 226 0.7× 36 0.5× 54 0.9× 58 1.2× 26 0.7× 10 321
L. Ferrero Monaco 13 411 1.4× 135 2.0× 75 1.3× 45 0.9× 58 1.6× 17 556
Anthony W. Johnson United States 11 279 0.9× 26 0.4× 42 0.7× 41 0.8× 53 1.4× 22 413
Thomas G. Polefka United States 12 243 0.8× 69 1.0× 23 0.4× 66 1.3× 64 1.7× 22 541
Manuel Fernández-Lorente Spain 6 173 0.6× 36 0.5× 42 0.7× 15 0.3× 31 0.8× 12 291
Anne Farbrot Sweden 7 175 0.6× 39 0.6× 17 0.3× 105 2.1× 37 1.0× 9 353
C Hayden Australia 3 131 0.4× 25 0.4× 27 0.5× 37 0.7× 44 1.2× 5 175
W. Sterry Germany 12 342 1.1× 209 3.1× 18 0.3× 15 0.3× 129 3.5× 17 581
Matteo Mezzena Italy 12 152 0.5× 57 0.8× 95 1.6× 16 0.3× 192 5.2× 12 392

Countries citing papers authored by M. Pissavini

Since Specialization
Citations

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

Fields of papers citing papers by M. Pissavini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Pissavini. 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 M. Pissavini. The network helps show where M. Pissavini may publish in the future.

Co-authorship network of co-authors of M. Pissavini

This figure shows the co-authorship network connecting the top 25 collaborators of M. Pissavini. A scholar is included among the top collaborators of M. Pissavini 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 M. Pissavini. M. Pissavini 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.
Vollhardt, Jürgen, Curtis L. Cole, Ludger Kolbe, et al.. (2025). Test design and results of a method performance characterization study for SPF and UVA‐PF testing. International Journal of Cosmetic Science. 47(S1). 2–24. 1 indexed citations
2.
3.
Pissavini, M., A. R. Lauer, Ludger Kolbe, et al.. (2020). Validation of a new in vitro Sun Protection Factor method to include a wide range of sunscreen product emulsion types. International Journal of Cosmetic Science. 42(5). 421–428. 8 indexed citations
4.
Kolbe, Ludger, et al.. (2019). Anti‐inflammatory / anti‐oxidant activity of ingredients of sunscreen products? Implications for SPF. International Journal of Cosmetic Science. 41(3). 320–324. 8 indexed citations
5.
Pissavini, M., Brian Diffey, & Olivier Doucet. (2017). The perplexing dilemma of measuring sun protection factors. International Journal of Cosmetic Science. 39(4). 465–466. 1 indexed citations
6.
Pissavini, M., Olivier Doucet, & Brian Diffey. (2013). A novel proposal for labelling sunscreens based on compliance and performance. International Journal of Cosmetic Science. 35(5). 510–514. 6 indexed citations
7.
Pissavini, M., et al.. (2013). A new chemical approach to optimize the in vitro SPF method on the HD6 PMMA plate.. PubMed. 63(4). 243–54. 8 indexed citations
8.
Moyal, D., C. Bertin, F Boyer, et al.. (2012). The revised COLIPA in vitro UVA method. International Journal of Cosmetic Science. 35(1). 35–40. 37 indexed citations
9.
Pissavini, M., et al.. (2011). Predicting the efficacy of sunscreens in vivo veritas. International Journal of Cosmetic Science. 34(1). 44–48. 13 indexed citations
10.
Pissavini, M., et al.. (2010). Validation of HPLC method for the simultaneous and quantitative determination of 12 UV‐filters in cosmetics. International Journal of Cosmetic Science. 32(1). 47–53. 28 indexed citations
11.
Ferrero, L., M. Pissavini, & Olivier Doucet. (2010). How a calculated model of sunscreen film geometry can explain in vitro and in vivo SPF variation. Photochemical & Photobiological Sciences. 9(4). 540–551. 37 indexed citations
12.
Pissavini, M., et al.. (2009). Characterizing Roughness: A New Substrate to Measure SPF. 124(9). 11 indexed citations
13.
Moyal, D., et al.. (2007). In vivo persistent pigment darkening method: proposal of a new standard product for UVA protection factor determination. International Journal of Cosmetic Science. 29(6). 443–449. 9 indexed citations
14.
Ferrero, L., et al.. (2007). Importance of substrate roughness for in vitro sun protection Assessment. International Journal of Cosmetic Science. 29(1). 59–59. 28 indexed citations
15.
Pissavini, M., Ulrike Heinrich, Klaus Jenni, et al.. (2007). In vitro assessment of water resistance of sun care products: a reproducible and optimized in vitro test method. International Journal of Cosmetic Science. 29(6). 451–460. 16 indexed citations
16.
Teichmann, A., M. Pissavini, L. Ferrero, et al.. (2006). Investigation of the homogeneity of the distribution of sunscreen formulations on the human skin: characterization and comparison of two different methods. Journal of Biomedical Optics. 11(6). 64005–64005. 20 indexed citations
17.
Ferrero, L., et al.. (2004). Photochemical behavior assessment of sunscreen preparations by in vitro UV spectroscopy. International Journal of Cosmetic Science. 26(6). 318–318. 1 indexed citations
18.
Pissavini, M., et al.. (2003). Determination of the in vitro SPF. 118(10). 63–72. 46 indexed citations
19.
Ferrero, L., et al.. (2002). Sunscreen in vitro spectroscopy: application to UVA protection assessment and correlation with in vivo persistent pigment darkening. International Journal of Cosmetic Science. 24(2). 63–70. 28 indexed citations
20.
Carretas, José M., António Pires de Matos, Joaquim Marçalo, et al.. (1998). Gas-phase reactivity of rare earth cations with phenol: Competitive activation of C-O, O-H, and C-H bonds. Journal of the American Society for Mass Spectrometry. 9(10). 1035–1042. 20 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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