Fabio Zani

23 total papers · 1.5k total citations
15 papers, 823 citations indexed

About

Fabio Zani is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, Fabio Zani has authored 15 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Fabio Zani's work include Adipose Tissue and Metabolism (5 papers), Diet, Metabolism, and Disease (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Fabio Zani is often cited by papers focused on Adipose Tissue and Metabolism (5 papers), Diet, Metabolism, and Disease (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Fabio Zani collaborates with scholars based in United Kingdom, Switzerland and Sweden. Fabio Zani's co-authors include Karen H. Vousden, Christiaan F. Labuschagne, Giovanni Solinas, Julianna Blagih, Barbara Becattini, Marc Hennequart, Jean‐Pierre Montani, Steven E. Pilley, Nicholas Jones and Kerstin Stemmer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Fabio Zani

15 papers receiving 815 citations

Author Peers

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

Author						Papers	Cites
Fabio Zani	344	199	166	141	138	15	823
Nelson Fuentes	186 0.5×	128 0.6×	197 1.2×	177 1.3×	92 0.7×	16	753
Margaret Chui Ling Tse	405 1.2×	170 0.9×	68 0.4×	80 0.6×	105 0.8×	23	779
Masaaki Muraoka	414 1.2×	134 0.7×	311 1.9×	119 0.8×	119 0.9×	13	872
Marianna Santopaolo	328 1.0×	126 0.6×	94 0.6×	81 0.6×	120 0.9×	17	936
Jinbo Han	517 1.5×	219 1.1×	63 0.4×	231 1.6×	196 1.4×	20	1.0k
Thomas W. Dunlop	375 1.1×	133 0.7×	100 0.6×	126 0.9×	48 0.3×	18	1.0k
Sinju Sundaresan	409 1.2×	131 0.7×	169 1.0×	114 0.8×	300 2.2×	24	940
Grégory Lefebvre	448 1.3×	240 1.2×	60 0.4×	129 0.9×	88 0.6×	24	958
Valeria G. Antico Arciuch	540 1.6×	154 0.8×	87 0.5×	70 0.5×	122 0.9×	15	868
Dariusz Ratman	273 0.8×	101 0.5×	120 0.7×	59 0.4×	109 0.8×	17	801

Countries citing papers authored by Fabio Zani

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Zani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Zani

This figure shows the co-authorship network connecting the top 25 collaborators of Fabio Zani. A scholar is included among the top collaborators of Fabio Zani 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 Fabio Zani. Fabio Zani 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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