Germana P. Germanà

14 total papers · 418 total citations
14 papers, 323 citations indexed

About

Germana P. Germanà is a scholar working on Cellular and Molecular Neuroscience, Immunology and Ecology. According to data from OpenAlex, Germana P. Germanà has authored 14 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cellular and Molecular Neuroscience, 5 papers in Immunology and 4 papers in Ecology. Recurrent topics in Germana P. Germanà's work include Physiological and biochemical adaptations (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Aquaculture disease management and microbiota (2 papers). Germana P. Germanà is often cited by papers focused on Physiological and biochemical adaptations (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers) and Aquaculture disease management and microbiota (2 papers). Germana P. Germanà collaborates with scholars based in Italy, Spain and Brazil. Germana P. Germanà's co-authors include Antonino Germanà, Giuseppe Montalbano, Francesco Abbate, Rosaria Laurà, José A. Vega, Maria Cristina Guerrera, Maria Levanti, Marialuisa Aragona, Francesco Fazio and Caterina Porcino and has published in prestigious journals such as Brain Research, International Journal of Molecular Sciences and Applied Sciences.

In The Last Decade

Germana P. Germanà

14 papers receiving 320 citations

Author Peers

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

Author						Papers	Cites
Germana P. Germanà	93	92	58	50	47	14	323
Pedro A. Ferreira	56 0.6×	45 0.5×	50 0.9×	30 0.6×	6 0.1×	19	290
Christine N. Polkinghorne	47 0.5×	38 0.4×	18 0.3×	35 0.7×	34 0.7×	13	333
Lei Wang	29 0.3×	46 0.5×	143 2.5×	7 0.1×	6 0.1×	17	345
Sônia Regina Grötzner	24 0.3×	41 0.4×	73 1.3×	10 0.2×	6 0.1×	21	358
Arthur Holl	64 0.7×	9 0.1×	31 0.5×	53 1.1×	87 1.9×	21	305
Alon M. Douek	26 0.3×	35 0.4×	98 1.7×	6 0.1×	4 0.1×	13	291
H.G.J. van Mil	61 0.7×	26 0.3×	172 3.0×	13 0.3×	5 0.1×	14	352
Ulises Bardullas	41 0.4×	41 0.4×	61 1.1×	42 0.8×	4 0.1×	12	308
Benjamin Tsang	38 0.4×	21 0.2×	53 0.9×	26 0.5×	7 0.1×	29	350
Sarah Könemann	11 0.1×	117 1.3×	29 0.5×	25 0.5×	2 0.0×	10	293

Countries citing papers authored by Germana P. Germanà

Since Specialization

Citations

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

Fields of papers citing papers by Germana P. Germanà

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Germana P. Germanà. 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 Germana P. Germanà. The network helps show where Germana P. Germanà may publish in the future.

Co-authorship network of co-authors of Germana P. Germanà

This figure shows the co-authorship network connecting the top 25 collaborators of Germana P. Germanà. A scholar is included among the top collaborators of Germana P. Germanà 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 Germana P. Germanà. Germana P. Germanà 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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