Rita Giuliano

21 total papers · 1.0k total citations
17 papers, 863 citations indexed

About

Rita Giuliano is a scholar working on Molecular Biology, Genetics and Hematology. According to data from OpenAlex, Rita Giuliano has authored 17 papers receiving a total of 863 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Hematology. Recurrent topics in Rita Giuliano's work include Virus-based gene therapy research (5 papers), Stress Responses and Cortisol (2 papers) and Herpesvirus Infections and Treatments (2 papers). Rita Giuliano is often cited by papers focused on Virus-based gene therapy research (5 papers), Stress Responses and Cortisol (2 papers) and Herpesvirus Infections and Treatments (2 papers). Rita Giuliano collaborates with scholars based in United States and Belgium. Rita Giuliano's co-authors include Howard J. Federoff, Landa Prifti, Xiaomin Su, Karthik Venkatesh, Kathleen A. Maguire‐Zeiss, Marc W. Halterman, William J. Bowers, Martha C. Bohn, Deyrick Dean and Seung T. Lim and has published in prestigious journals such as Blood, The Journal of Comparative Neurology and Biochemical and Biophysical Research Communications.

In The Last Decade

Rita Giuliano

17 papers receiving 847 citations

Author Peers

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

Author Last Decade Papers Cites
Rita Giuliano 278 273 268 250 164 17 863
L Marinova-Mutafchieva 173 0.6× 186 0.7× 252 0.9× 183 0.7× 153 0.9× 17 975
Mark Griffiths 151 0.5× 261 1.0× 247 0.9× 270 1.1× 101 0.6× 18 959
Matsuo Ogawa 215 0.8× 434 1.6× 330 1.2× 241 1.0× 97 0.6× 19 858
Wilson B. Chwang 125 0.4× 177 0.6× 484 1.8× 124 0.5× 69 0.4× 12 888
Suzanne R. Burstein 162 0.6× 184 0.7× 342 1.3× 153 0.6× 141 0.9× 17 723
Yanqing Yin 150 0.5× 259 0.9× 472 1.8× 303 1.2× 108 0.7× 27 959
Tanjew Dittgen 147 0.5× 387 1.4× 467 1.7× 166 0.7× 93 0.6× 10 1.0k
Dipankar J. Dutta 106 0.4× 174 0.6× 360 1.3× 409 1.6× 100 0.6× 16 946
Tennore Ramesh 287 1.0× 126 0.5× 407 1.5× 98 0.4× 71 0.4× 25 935
Merja Jaronen 180 0.6× 123 0.5× 247 0.9× 250 1.0× 147 0.9× 17 832

Countries citing papers authored by Rita Giuliano

Since Specialization
Citations

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

Fields of papers citing papers by Rita Giuliano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Giuliano

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