Martina Casati

40 total papers · 1.0k total citations
26 papers, 736 citations indexed

About

Martina Casati is a scholar working on Physiology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Martina Casati has authored 26 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 7 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Martina Casati's work include Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Martina Casati is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Genetics, Aging, and Longevity in Model Organisms (4 papers). Martina Casati collaborates with scholars based in Italy, Sweden and United States. Martina Casati's co-authors include Beatrice Arosio, Evelyn Ferri, Daniela Mari, Matteo Cesari, Cristina Gussago, Paolo Rossi, Claudio D’Addario, Mauro Maccarrone, Domenico Azzolino and Andrea Di Francesco and has published in prestigious journals such as Scientific Reports, Brain Behavior and Immunity and BioMed Research International.

In The Last Decade

Martina Casati

26 papers receiving 723 citations

Author Peers

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

Author						Papers	Cites
Martina Casati	313	261	136	125	58	26	736
Hussein Mansour	151 0.5×	169 0.6×	114 0.8×	90 0.7×	106 1.8×	25	742
Aleksandra Mladenović	258 0.8×	266 1.0×	38 0.3×	106 0.8×	52 0.9×	39	803
Lucas Kich Grün	335 1.1×	191 0.7×	40 0.3×	49 0.4×	22 0.4×	37	713
Xiaoxian Xie	173 0.6×	301 1.2×	73 0.5×	42 0.3×	45 0.8×	35	771
Angela Kuhla	372 1.2×	244 0.9×	34 0.3×	66 0.5×	13 0.2×	40	871
María del Carmen Cárdenas‐Aguayo	318 1.0×	389 1.5×	49 0.4×	88 0.7×	20 0.3×	22	844
Caio Henrique Mazucanti	177 0.6×	149 0.6×	65 0.5×	63 0.5×	23 0.4×	26	636
Zhongfu Zhao	331 1.1×	284 1.1×	47 0.3×	33 0.3×	48 0.8×	15	866
Jeannette König	248 0.8×	344 1.3×	40 0.3×	53 0.4×	29 0.5×	19	830
Xiantao Tai	227 0.7×	320 1.2×	21 0.2×	164 1.3×	36 0.6×	27	887

Countries citing papers authored by Martina Casati

Since Specialization

Citations

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

Fields of papers citing papers by Martina Casati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martina Casati

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact