Ivan Mičetić

2.3k total citations
19 papers, 715 citations indexed

About

Ivan Mičetić is a scholar working on Molecular Biology, Materials Chemistry and Immunology. According to data from OpenAlex, Ivan Mičetić has authored 19 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Materials Chemistry and 5 papers in Immunology. Recurrent topics in Ivan Mičetić's work include Protein Structure and Dynamics (6 papers), Invertebrate Immune Response Mechanisms (5 papers) and Nanoparticles: synthesis and applications (4 papers). Ivan Mičetić is often cited by papers focused on Protein Structure and Dynamics (6 papers), Invertebrate Immune Response Mechanisms (5 papers) and Nanoparticles: synthesis and applications (4 papers). Ivan Mičetić collaborates with scholars based in Italy, United Kingdom and France. Ivan Mičetić's co-authors include Silvio C. E. Tosatto, Enrico Sabbioni, Lisanna Paladin, Norman E. Davey, Alexander Miguel Monzón, Damiano Piovesan, Marco Necci, Gustavo Parisi, Giovanni Libralato and Wim Vranken and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Ivan Mičetić

19 papers receiving 709 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivan Mičetić Italy 11 354 218 79 74 73 19 715
Andrew J. Ramsey United States 16 474 1.3× 164 0.8× 46 0.6× 33 0.4× 54 0.7× 27 865
Lætitia Pieulle France 16 428 1.2× 82 0.4× 21 0.3× 62 0.8× 45 0.6× 25 774
Stéphane Chédin France 15 834 2.4× 64 0.3× 61 0.8× 67 0.9× 48 0.7× 23 1.1k
James R. Ault United Kingdom 20 535 1.5× 79 0.4× 46 0.6× 29 0.4× 79 1.1× 47 1.0k
Abderrahmane Tagmount United States 14 281 0.8× 116 0.5× 112 1.4× 65 0.9× 61 0.8× 31 764
Rebecca J. Wood Australia 12 248 0.7× 70 0.3× 71 0.9× 32 0.4× 59 0.8× 18 503
Ping Gong China 15 356 1.0× 41 0.2× 19 0.2× 93 1.3× 37 0.5× 41 744
Weihuan Cao United States 15 225 0.6× 68 0.3× 21 0.3× 19 0.3× 38 0.5× 27 561
L. F. Oltmann Netherlands 16 613 1.7× 93 0.4× 75 0.9× 57 0.8× 109 1.5× 42 857
Guang Zhao China 16 282 0.8× 82 0.4× 128 1.6× 32 0.4× 32 0.4× 31 713

Countries citing papers authored by Ivan Mičetić

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Mičetić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Mičetić

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

All Works

19 of 19 papers shown
1.
Piovesan, Damiano, Marco Necci, Nahuel Escobedo, et al.. (2020). MobiDB: intrinsically disordered proteins in 2021. Nucleic Acids Research. 49(D1). D361–D367. 149 indexed citations
2.
Roman, Marco, Chiara Rigo, Hiram Castillo‐Michel, et al.. (2020). Spatiotemporal distribution and speciation of silver nanoparticles in the healing wound. The Analyst. 145(20). 6456–6469. 7 indexed citations
3.
Jiménez, Rafael C., Federico Zambelli, Ivan Mičetić, et al.. (2018). Using community events to increase quality and adoption of standards: the case of Bioschemas. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 7. 1696. 4 indexed citations
4.
Piovesan, Damiano, Francesco Tabaro, Lisanna Paladin, et al.. (2017). MobiDB 3.0: more annotations for intrinsic disorder, conformational diversity and interactions in proteins. Nucleic Acids Research. 46(D1). D471–D476. 142 indexed citations
5.
Bocca, Beatrice, Enrico Sabbioni, Ivan Mičetić, Alessandro Alimonti, & Francesco Petrucci. (2017). Size and metal composition characterization of nano- and microparticles in tattoo inks by a combination of analytical techniques. Journal of Analytical Atomic Spectrometry. 32(3). 616–628. 46 indexed citations
6.
Libralato, Giovanni, Michela Zanella, E. Sabbioni, et al.. (2015). Phytotoxicity of ionic, micro- and nano-sized iron in three plant species. Ecotoxicology and Environmental Safety. 123. 81–88. 85 indexed citations
7.
Roman, Marco, Chiara Rigo, Hiram Castillo‐Michel, et al.. (2015). Hydrodynamic chromatography coupled to single-particle ICP-MS for the simultaneous characterization of AgNPs and determination of dissolved Ag in plasma and blood of burn patients. Analytical and Bioanalytical Chemistry. 408(19). 5109–5124. 46 indexed citations
8.
9.
Libralato, Giovanni, Diego Minetto, Ivan Mičetić, et al.. (2013). Embryotoxicity of TiO2 nanoparticles to Mytilus galloprovincialis (Lmk). Marine Environmental Research. 92. 71–78. 75 indexed citations
10.
Martín, Alberto J. M., Ian Walsh, Tomás Di Domenico, Ivan Mičetić, & Silvio C. E. Tosatto. (2013). PANADA: Protein Association Network Annotation, Determination and Analysis. PLoS ONE. 8(11). e78383–e78383. 7 indexed citations
11.
Cendron, Laura, Ivan Mičetić, Patrizia Polverino de Laureto, & Marco Paoli. (2012). Structural analysis of trimeric phospholipase A2 neurotoxin from the Australian taipan snake venom. FEBS Journal. 279(17). 3121–3135. 18 indexed citations
12.
Spinozzi, Francesco, Paolo Mariani, Ivan Mičetić, et al.. (2012). Quaternary Structure Heterogeneity of Oligomeric Proteins: A SAXS and SANS Study of the Dissociation Products of Octopus vulgaris Hemocyanin. PLoS ONE. 7(11). e49644–e49644. 11 indexed citations
13.
Ballarin, Loriano, et al.. (2012). Looking for putative phenoloxidases of compound ascidians: Haemocyanin-like proteins in Polyandrocarpa misakiensis and Botryllus schlosseri. Developmental & Comparative Immunology. 38(2). 232–242. 13 indexed citations
14.
Civiero, Laura, Renée Vancraenenbroeck, Elisa Belluzzi, et al.. (2012). Biochemical Characterization of Highly Purified Leucine-Rich Repeat Kinases 1 and 2 Demonstrates Formation of Homodimers. PLoS ONE. 7(8). e43472–e43472. 79 indexed citations
15.
Benetti, Federico, Ivan Mičetić, F. Carsughi, et al.. (2010). Insights into the oligomerization process of the C-terminal domain of human plasma membrane Ca2+-ATPase. Archives of Biochemistry and Biophysics. 506(2). 194–200. 2 indexed citations
16.
Hirota, Shun, Naoki Tanaka, Ivan Mičetić, et al.. (2010). Structural Basis of the Lactate-dependent Allosteric Regulation of Oxygen Binding in Arthropod Hemocyanin. Journal of Biological Chemistry. 285(25). 19338–19345. 8 indexed citations
17.
Mičetić, Ivan, Carmen Losasso, Paolo Di Muro, et al.. (2010). Solution structures of 2 × 6-meric and 4 × 6-meric hemocyanins of crustaceans Carcinus aestuarii, Squilla mantis and Upogebia pusilla. Journal of Structural Biology. 171(1). 1–10. 6 indexed citations
18.
Mičetić, Ivan, et al.. (2003). Structural subunit organization of molluscan hemocyanins. Micron. 35(1-2). 21–22. 4 indexed citations
19.
Mičetić, Ivan & Benedetto Salvato. (2003). Model building of a molluscan hemocyanin from X-ray solution scattering. Micron. 35(1-2). 17–20. 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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