Danila Fava

18 total papers · 589 total citations
11 papers, 379 citations indexed

About

Danila Fava is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Danila Fava has authored 11 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Physiology. Recurrent topics in Danila Fava's work include Diabetes and associated disorders (5 papers), Nitric Oxide and Endothelin Effects (2 papers) and Immune Cell Function and Interaction (2 papers). Danila Fava is often cited by papers focused on Diabetes and associated disorders (5 papers), Nitric Oxide and Endothelin Effects (2 papers) and Immune Cell Function and Interaction (2 papers). Danila Fava collaborates with scholars based in Italy, United Kingdom and Brazil. Danila Fava's co-authors include Richard David Leslie, Paolo Pozzilli, O. Laurenti, G. De Mattia, L. Monetini, Maria Gisella Cavallo, Andrea Ghiselli, Ottavia De Luca, M. Cassone‐Faldetta and Giancarlo De Mattia and has published in prestigious journals such as The Lancet, Diabetes Care and European Journal of Immunology.

In The Last Decade

Danila Fava

11 papers receiving 354 citations

Author Peers

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

Author Last Decade Papers Cites
Danila Fava 185 182 133 42 42 11 379
N Eibl 113 0.6× 94 0.5× 76 0.6× 25 0.6× 74 1.8× 7 402
Bahareh Rasouli 187 1.0× 182 1.0× 104 0.8× 44 1.0× 28 0.7× 23 342
Simon E. Regnell 208 1.1× 173 1.0× 171 1.3× 43 1.0× 29 0.7× 8 364
Hans U. Kloer 194 1.0× 125 0.7× 336 2.5× 63 1.5× 8 0.2× 11 445
Edita Jašinskienė 192 1.0× 138 0.8× 142 1.1× 44 1.0× 8 0.2× 11 406
Giuseppina Beretta Anguissola 159 0.9× 92 0.5× 113 0.8× 22 0.5× 17 0.4× 10 338
A. Anderson 75 0.4× 108 0.6× 134 1.0× 59 1.4× 48 1.1× 17 381
L. Folini 119 0.6× 181 1.0× 116 0.9× 197 4.7× 45 1.1× 8 430
Jean‐Louis Schlienger 54 0.3× 80 0.4× 136 1.0× 33 0.8× 28 0.7× 10 338
Helen Holt 80 0.4× 171 0.9× 88 0.7× 37 0.9× 47 1.1× 11 363

Countries citing papers authored by Danila Fava

Since Specialization
Citations

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

Fields of papers citing papers by Danila Fava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danila Fava

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