Ivan Manzini

1.5k total citations
60 papers, 1.0k citations indexed

About

Ivan Manzini is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Ivan Manzini has authored 60 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Sensory Systems, 45 papers in Cellular and Molecular Neuroscience and 30 papers in Nutrition and Dietetics. Recurrent topics in Ivan Manzini's work include Olfactory and Sensory Function Studies (46 papers), Neurobiology and Insect Physiology Research (39 papers) and Biochemical Analysis and Sensing Techniques (30 papers). Ivan Manzini is often cited by papers focused on Olfactory and Sensory Function Studies (46 papers), Neurobiology and Insect Physiology Research (39 papers) and Biochemical Analysis and Sensing Techniques (30 papers). Ivan Manzini collaborates with scholars based in Germany, United States and United Kingdom. Ivan Manzini's co-authors include Detlev Schild, Thomas Hassenklöver, Dirk Czesnik, Sigrun I. Korsching, Adnan Syed, Corrado Di Natale, Wolfgang Rößler, Fabiana Piscitelli, Vincenzo Di Marzo and Walter Nadler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ivan Manzini

60 papers receiving 1.0k 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 Manzini Germany 21 694 635 428 181 135 60 1.0k
Juan Bacigalupo Chile 21 525 0.8× 833 1.3× 280 0.7× 430 2.4× 111 0.8× 70 1.2k
Hiroko Nakatani Japan 13 626 0.9× 639 1.0× 526 1.2× 339 1.9× 88 0.7× 18 1.2k
Simone Pifferi Italy 16 638 0.9× 664 1.0× 420 1.0× 449 2.5× 124 0.9× 35 1.3k
Antonio Caretta Italy 20 324 0.5× 549 0.9× 112 0.3× 689 3.8× 63 0.5× 68 1.2k
Donghui Kuang United States 11 352 0.5× 352 0.6× 345 0.8× 312 1.7× 65 0.5× 11 761
Boaz Cook United States 12 544 0.8× 661 1.0× 133 0.3× 646 3.6× 18 0.1× 15 1.4k
Bradley M. Colquitt United States 9 272 0.4× 400 0.6× 210 0.5× 427 2.4× 26 0.2× 11 1.2k
Marian J. Drescher United States 21 625 0.9× 280 0.4× 215 0.5× 539 3.0× 55 0.4× 54 1.2k
С. С. Колесников Russia 19 744 1.1× 953 1.5× 697 1.6× 1.3k 6.9× 364 2.7× 56 2.2k
Soohong Min United States 16 152 0.2× 878 1.4× 127 0.3× 352 1.9× 30 0.2× 19 1.6k

Countries citing papers authored by Ivan Manzini

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Manzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Manzini

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Manzini. A scholar is included among the top collaborators of Ivan Manzini 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 Manzini. Ivan Manzini 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.
Hassenklöver, Thomas, et al.. (2025). Olfactory Nerve Transection Transiently Activates Olfactory Ensheathing Cells in Xenopus laevis Larvae. European Journal of Neuroscience. 62(3). e70211–e70211. 1 indexed citations
2.
Maiello, Guido, et al.. (2024). The olfactory network of larval Xenopus laevis regenerates accurately after olfactory nerve transection. European Journal of Neuroscience. 60(1). 3719–3741. 1 indexed citations
3.
Hassenklöver, Thomas, et al.. (2024). Calcium imaging of adult olfactory epithelium reveals amines as important odor class in fish. Cell and Tissue Research. 396(1). 95–102. 1 indexed citations
4.
Richter, Katrin, Vijay Kumar Singh, Anna Zakrzewicz, et al.. (2023). Activation of endothelial NO synthase and P2X7 receptor modification mediates the cholinergic control of ATP-induced interleukin-1β release by mononuclear phagocytes. Frontiers in Immunology. 14. 1140592–1140592. 5 indexed citations
5.
Hassenklöver, Thomas, et al.. (2022). Patterns of tubb2b Promoter-Driven Fluorescence in the Forebrain of Larval Xenopus laevis. Frontiers in Neuroanatomy. 16. 914281–914281. 2 indexed citations
6.
Manzini, Ivan, et al.. (2021). Olfaction across the water–air interface in anuran amphibians. Cell and Tissue Research. 383(1). 301–325. 20 indexed citations
7.
Gerdes, Christoph, Eugenio F. Fornasiero, Ivan Manzini, et al.. (2020). A nanobody-based fluorescent reporter reveals human α-synuclein in the cell cytosol. Nature Communications. 11(1). 2729–2729. 37 indexed citations
8.
Marles‐Wright, Jon, et al.. (2019). An extracellular acidic cleft confers profound H+-sensitivity to epithelial sodium channels containing the δ-subunit in Xenopus laevis. Journal of Biological Chemistry. 294(33). 12507–12520. 13 indexed citations
9.
10.
Syed, Adnan, et al.. (2016). Coordinated shift of olfactory amino acid responses and V2R expression to an amphibian water nose during metamorphosis. Cellular and Molecular Life Sciences. 74(9). 1711–1719. 20 indexed citations
11.
Hassenklöver, Thomas, et al.. (2015). Dual processing of sulfated steroids in the olfactory system of an anuran amphibian. Frontiers in Cellular Neuroscience. 9. 373–373. 14 indexed citations
12.
Hassenklöver, Thomas & Ivan Manzini. (2014). The Olfactory System as a Model to Study Axonal Growth Patterns and Morphology <em>In Vivo</em>. Journal of Visualized Experiments. e52143–e52143. 9 indexed citations
13.
Manzini, Ivan, Johannes Frasnelli, & Ilona Croy. (2014). Wie wir riechen und was es für uns bedeutet. HNO. 62(12). 846–852. 5 indexed citations
14.
Hassenklöver, Thomas, et al.. (2013). Purinergic receptor-induced Ca2+ signaling in the neuroepithelium of the vomeronasal organ of larval Xenopus laevis. Purinergic Signalling. 10(2). 327–336. 6 indexed citations
15.
Manzini, Ivan, et al.. (2010). The Endocannabinoid 2-Arachidonoyl-Glycerol Controls Odor Sensitivity in Larvae of Xenopus laevis. Journal of Neuroscience. 30(26). 8965–8973. 43 indexed citations
16.
Ming, Ming, Ivan Manzini, Weidong Le, Kerstin Krieglstein, & Björn Spittau. (2010). Thapsigargin‐induced Ca2+ increase inhibits TGFβ1‐mediated Smad2 transcriptional responses via Ca2+/calmodulin‐dependent protein kinase II. Journal of Cellular Biochemistry. 111(5). 1222–1230. 10 indexed citations
17.
Hassenklöver, Thomas, et al.. (2008). Nucleotide‐induced Ca2+signaling in sustentacular supporting cells of the olfactory epithelium. Glia. 56(15). 1614–1624. 39 indexed citations
18.
Manzini, Ivan, et al.. (2007). Response profiles to amino acid odorants of olfactory glomeruli in larval Xenopus laevis. The Journal of Physiology. 581(2). 567–579. 21 indexed citations
19.
Manzini, Ivan & Detlev Schild. (2003). Multidrug resistance transporters in the olfactory receptor neurons of Xenopus laevis tadpoles. The Journal of Physiology. 546(2). 375–385. 48 indexed citations
20.
Manzini, Ivan & Detlev Schild. (2003). cAMP-independent olfactory transduction of amino acids in Xenopus laevis tadpoles. The Journal of Physiology. 551(1). 115–123. 25 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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