Emanuele De Nitto

29 total papers · 846 total citations
23 papers, 638 citations indexed

About

Emanuele De Nitto is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Emanuele De Nitto has authored 23 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 6 papers in Cell Biology. Recurrent topics in Emanuele De Nitto's work include Photosynthetic Processes and Mechanisms (14 papers), Photoreceptor and optogenetics research (8 papers) and Mitochondrial Function and Pathology (8 papers). Emanuele De Nitto is often cited by papers focused on Photosynthetic Processes and Mechanisms (14 papers), Photoreceptor and optogenetics research (8 papers) and Mitochondrial Function and Pathology (8 papers). Emanuele De Nitto collaborates with scholars based in Italy and Albania. Emanuele De Nitto's co-authors include Sergio Papa, Nazzareno Capitanio, Giuseppe Capitanio, Luigì Santacroce, Ioannis Alexandros Charitos, Skënder Topi, Gaetano Villani, Francesco Inchingolo, Andrea Ballini and Michele Minuto and has published in prestigious journals such as Biochemistry, FEBS Letters and Journal of Nutrition.

In The Last Decade

Emanuele De Nitto

23 papers receiving 626 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Emanuele De Nitto	433	155	91	70	64	23	638
Tamás Letoha	396 0.9×	52 0.3×	122 1.3×	54 0.8×	118 1.8×	33	769
Jesús R. del Castillo	456 1.1×	57 0.4×	68 0.7×	86 1.2×	42 0.7×	33	748
Joe M. Blumberg	246 0.6×	140 0.9×	76 0.8×	37 0.5×	76 1.2×	24	719
S Kantengwa	520 1.2×	41 0.3×	107 1.2×	44 0.6×	103 1.6×	15	721
Jeffrey H. M. Charuk	415 1.0×	98 0.6×	81 0.9×	18 0.3×	98 1.5×	20	640
Hans P. Baer	319 0.7×	123 0.8×	98 1.1×	53 0.8×	20 0.3×	43	624
John W. Vester	150 0.3×	60 0.4×	121 1.3×	99 1.4×	65 1.0×	32	745
Barbara S. Simmons	216 0.5×	63 0.4×	82 0.9×	12 0.2×	62 1.0×	15	647
Victoria Hodgkinson	311 0.7×	79 0.5×	122 1.3×	50 0.7×	29 0.5×	22	738
Eva Nývltová	430 1.0×	25 0.2×	41 0.5×	35 0.5×	41 0.6×	15	630

Countries citing papers authored by Emanuele De Nitto

Since Specialization

Citations

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

Fields of papers citing papers by Emanuele De Nitto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emanuele De Nitto. 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 Emanuele De Nitto. The network helps show where Emanuele De Nitto may publish in the future.

Co-authorship network of co-authors of Emanuele De Nitto

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

All Works

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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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