Dana Danino

55 total papers · 611 total citations
31 papers, 310 citations indexed

About

Dana Danino is a scholar working on Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Dana Danino has authored 31 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 11 papers in Infectious Diseases and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Dana Danino's work include Pneumonia and Respiratory Infections (9 papers), Respiratory viral infections research (7 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Dana Danino is often cited by papers focused on Pneumonia and Respiratory Infections (9 papers), Respiratory viral infections research (7 papers) and Bacterial Identification and Susceptibility Testing (4 papers). Dana Danino collaborates with scholars based in Israel, United States and Colombia. Dana Danino's co-authors include Shalom Ben‐Shimol, David Greenberg, Ron Dagan, Bart Adriaan van der Beek, Noga Givon‐Lavi, Daniel M. Weinberger, Yonat Shemer Avni, Yonat Shemer‐Avni, Assaf Rokney and Guy Hazan and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and The Journal of Pediatrics.

In The Last Decade

Dana Danino

25 papers receiving 302 citations

Author Peers

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

Author Last Decade Papers Cites
Dana Danino 221 80 44 40 39 31 310
Fernando González‐Romo 196 0.9× 94 1.2× 59 1.3× 39 1.0× 31 0.8× 25 330
Bhim Gopal Dhoubhadel 222 1.0× 44 0.6× 60 1.4× 19 0.5× 25 0.6× 34 334
Bart Wolf 143 0.6× 77 1.0× 32 0.7× 52 1.3× 32 0.8× 22 312
M. García 184 0.8× 55 0.7× 19 0.4× 26 0.7× 31 0.8× 19 280
Jacqueline Nguyen 122 0.6× 67 0.8× 29 0.7× 17 0.4× 35 0.9× 22 255
Helen M. Crowe 127 0.6× 68 0.8× 40 0.9× 34 0.8× 39 1.0× 16 262
Maia De Luca 195 0.9× 73 0.9× 26 0.6× 36 0.9× 97 2.5× 38 349
Danjiang Dong 116 0.5× 100 1.3× 59 1.3× 14 0.3× 38 1.0× 21 245
Earl Rubin 183 0.8× 115 1.4× 47 1.1× 56 1.4× 78 2.0× 19 311
J.J. Picazo 178 0.8× 144 1.8× 37 0.8× 60 1.5× 22 0.6× 27 325

Countries citing papers authored by Dana Danino

Since Specialization
Citations

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

Fields of papers citing papers by Dana Danino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Danino

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