Eugenio Gaudio

7.0k total citations · 1 hit paper
92 papers, 2.8k citations indexed

About

Eugenio Gaudio is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Eugenio Gaudio has authored 92 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 28 papers in Pathology and Forensic Medicine and 23 papers in Oncology. Recurrent topics in Eugenio Gaudio's work include Lymphoma Diagnosis and Treatment (28 papers), Protein Degradation and Inhibitors (24 papers) and Chronic Lymphocytic Leukemia Research (22 papers). Eugenio Gaudio is often cited by papers focused on Lymphoma Diagnosis and Treatment (28 papers), Protein Degradation and Inhibitors (24 papers) and Chronic Lymphocytic Leukemia Research (22 papers). Eugenio Gaudio collaborates with scholars based in Switzerland, Italy and United States. Eugenio Gaudio's co-authors include Carlo M. Croce, Nicola Zanesi, Hansjüerg Alder, Francesca Lovat, Michael A. Caligiuri, Alessio Paone, Charlene Mao, Paolo Fadda, Muller Fabbri and Dorothee Wernicke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Eugenio Gaudio

87 papers receiving 2.8k citations

Hit Papers

MicroRNAs bind to Toll-like receptors to induce prometast... 2012 2026 2016 2021 2012 400 800 1.2k

Peers

Eugenio Gaudio
Comparison fields: 5 of 104
  • Molecular Biology 2.2k
  • Cancer Research 1.1k
  • Oncology 437
  • Immunology 437
  • Genetics 289
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Citations per field, relative to Eugenio Gaudio
Eugenio Gaudio · 1×
Citations per year, relative to Eugenio Gaudio
Eugenio Gaudio · 1×

Countries citing papers authored by Eugenio Gaudio

Since Specialization
Citations

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

Fields of papers citing papers by Eugenio Gaudio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eugenio Gaudio

This figure shows the co-authorship network connecting the top 25 collaborators of Eugenio Gaudio. A scholar is included among the top collaborators of Eugenio Gaudio 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 Eugenio Gaudio. Eugenio Gaudio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 7
4 26
5 7
6 12
7 50
8 6
9 12
10 29
11 18
12 4
13 21
14 3
15 214
16 17
17
MicroRNAs bind to Toll-like receptors to induce prometastatic inflammatory response breakdown →
1284
18 90
19 95
20 39

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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