Daniela Ulgiati

46 total papers · 576 total citations
28 papers, 328 citations indexed

About

Daniela Ulgiati is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Daniela Ulgiati has authored 28 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 13 papers in Molecular Biology and 4 papers in Hematology. Recurrent topics in Daniela Ulgiati's work include Complement system in diseases (10 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (6 papers). Daniela Ulgiati is often cited by papers focused on Complement system in diseases (10 papers), Immune Cell Function and Interaction (7 papers) and T-cell and B-cell Immunology (6 papers). Daniela Ulgiati collaborates with scholars based in Australia, United States and Spain. Daniela Ulgiati's co-authors include Lawrence J. Abraham, Mark N. Cruickshank, V. Michael Holers, Lily S. Subrata, James Hagman, Karen W. Makar, Evelyn Susanto, Andrew J. Woo, Paul G. Besant and Dominic Chih‐Cheng Voon and has published in prestigious journals such as The Journal of Immunology, Oncogene and Biochemical and Biophysical Research Communications.

In The Last Decade

Daniela Ulgiati

28 papers receiving 325 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 Ulgiati 167 145 36 33 29 28 328
S Murao 177 1.1× 86 0.6× 30 0.8× 30 0.9× 49 1.7× 28 347
Jan Czyzyk 113 0.7× 88 0.6× 30 0.8× 45 1.4× 33 1.1× 24 333
Li‐Qun Zhang 159 1.0× 130 0.9× 59 1.6× 27 0.8× 24 0.8× 34 328
Shaofeng Wang 164 1.0× 107 0.7× 28 0.8× 43 1.3× 48 1.7× 18 304
Huayang Tang 96 0.6× 119 0.8× 24 0.7× 47 1.4× 18 0.6× 25 263
Muyao Guo 150 0.9× 157 1.1× 27 0.8× 19 0.6× 31 1.1× 21 310
Toshibumi Shimokawa 149 0.9× 185 1.3× 23 0.6× 29 0.9× 13 0.4× 23 330
Metello Iacobini 121 0.7× 110 0.8× 56 1.6× 38 1.2× 11 0.4× 26 281
C. Soubrane 123 0.7× 97 0.7× 64 1.8× 47 1.4× 26 0.9× 36 320
Loredana Palamaro 147 0.9× 148 1.0× 40 1.1× 70 2.1× 19 0.7× 23 313

Countries citing papers authored by Daniela Ulgiati

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ulgiati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Ulgiati

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