Daniela Ram

24 total papers · 747 total citations
17 papers, 510 citations indexed

About

Daniela Ram is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Daniela Ram has authored 17 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 10 papers in Epidemiology and 4 papers in Virology. Recurrent topics in Daniela Ram's work include Respiratory viral infections research (7 papers), HIV/AIDS drug development and treatment (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). Daniela Ram is often cited by papers focused on Respiratory viral infections research (7 papers), HIV/AIDS drug development and treatment (5 papers) and Viral gastroenteritis research and epidemiology (4 papers). Daniela Ram collaborates with scholars based in Israel, United States and Nepal. Daniela Ram's co-authors include Ella Mendelson, Zehava Grossman, Musa Hindiyeh, Nathan Keller, Orna Mor, Michal Mandelboim, Ilana Tal, Ari Shamiss, Shlomo Maayan and Margalit Lorber and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.

In The Last Decade

Daniela Ram

17 papers receiving 494 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela Ram 310 177 167 115 66 17 510
Fernando Mileguir 291 0.9× 120 0.7× 96 0.6× 112 1.0× 60 0.9× 17 527
A. M. Clarke 166 0.5× 51 0.3× 205 1.2× 138 1.2× 67 1.0× 30 567
Tulsi Chugh 303 1.0× 23 0.1× 187 1.1× 63 0.5× 71 1.1× 28 548
S. Lauwers 165 0.5× 115 0.6× 93 0.6× 41 0.4× 45 0.7× 21 503
F.‐Y. Chang 252 0.8× 15 0.1× 90 0.5× 108 0.9× 102 1.5× 14 613
Raphaël Boreux 235 0.8× 19 0.1× 147 0.9× 117 1.0× 78 1.2× 23 547
Makhtar Camara 231 0.7× 206 1.2× 147 0.9× 24 0.2× 26 0.4× 32 517
François Eb 115 0.4× 38 0.2× 158 0.9× 223 1.9× 119 1.8× 27 595
Joe Huong 276 0.9× 38 0.2× 232 1.4× 86 0.7× 86 1.3× 8 558
Rubén González-Sanz 136 0.4× 140 0.8× 186 1.1× 194 1.7× 103 1.6× 20 569

Countries citing papers authored by Daniela Ram

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Ram

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