Daniela Saggioro

50 papers receiving 963 citations

Peers

Daniela Saggioro
Comparison fields: 5 of 84
  • Agronomy and Crop Science 216
  • Immunology 397
  • Ecology, Evolution, Behavior and Systematics 215
  • Cancer Research 117
  • Oncology 195
Replace Hitomi Harasawa with:
Hitomi Harasawa Japan
Toshifumi Hara Japan
Stefan Doerre United States
Richard Ascione United States
Kristine L. Skele United States
Zuzana Závadová Slovakia
Torsten Hechler Germany
Nozomu Hiraiwa Japan
Corinne Rommens France
Craig D. Dickinson United States
Daniela Saggioro relative to Hitomi Harasawa Japan Hitomi Harasawa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Saggioro

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Saggioro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Saggioro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Saggioro Line = papers co-authored together Daniela Saggioro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007117
2 200460
3 197850
4 201045
5 201341
6 199339
7 201335
8
Human T-lymphotropic virus type I transcriptional regulation by methylation.
199034
9 198632
10 200928
11 199128
12 198428
13 199427
14 200825
15 199524
16 200123
17 201721
18 197921
19 200620
20 199919

About Daniela Saggioro

Daniela Saggioro is a scholar working on Immunology, Agronomy and Crop Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Oncology, having authored 51 papers that have together received 984 indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (21 papers), Animal Disease Management and Epidemiology (14 papers), Vector-Borne Animal Diseases (12 papers), Esophageal Cancer Research and Treatment (8 papers), Pancreatic and Hepatic Oncology Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Esophageal and GI Pathology (4 papers). The work is most often cited by research in Agronomy and Crop Science (216 citations), Immunology (397 citations), Ecology, Evolution, Behavior and Systematics (215 citations), Cancer Research (117 citations) and Oncology (195 citations). Daniela Saggioro has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Luigi Chieco‐Bianchi, Alberto Amadori, Marina Panozzo, Donna M. D’Agostino, Stephen A. Moggach, Alessandra Folda, Dolores Fregona, Luca Ronconi, Alberto Bindoli and H.V. Malling. Their work appears in journals such as Experimental Cell Research, Translational research, International Journal of Molecular Sciences, AIDS Research and Human Retroviruses and The Pharmacogenomics Journal.

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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