Daniele Andreis

1.3k citations
30 papers · 712 · h-index 16

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis

Papers in

Daniele Andreis

29 papers receiving 696 citations

Peers

Daniele Andreis
Comparison fields: 5 of 73
  • Cancer Research 193
  • Oncology 323
  • Pulmonary and Respiratory Medicine 153
  • Immunology and Allergy 24
  • Family Practice 6
Replace Jesús Anampa with:
Jesús Anampa United States
CL Arteaga United States
Andrea Milani Italy
Meaghan A. Delaney United States
Tarah J. Ballinger United States
Caiwen Du China
Timothy McDonnell United States
Keiichi Aomatsu Japan
Alexander Jorge Cortez Poland
Lois Witters United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniele Andreis

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Andreis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniele Andreis, 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 Daniele Andreis Line = papers co-authored together Daniele Andreis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201684
2 201281
3 201468
4 201451
5 201346
6 201643
7 201338
8 201433
9 201733
10 201829
11 201825
12 201824
13 201722
14 201122
15 201517
16 201715
17 201913
18 201512
19 20188
20 20208

About Daniele Andreis

Daniele Andreis is a scholar working on Oncology, Cancer Research, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 712 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (13 papers), Breast Cancer Treatment Studies (8 papers), Estrogen and related hormone effects (4 papers), Advanced Breast Cancer Therapies (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (193 citations), Oncology (323 citations), Pulmonary and Respiratory Medicine (153 citations), Immunology and Allergy (24 citations) and Family Practice (6 citations). Daniele Andreis has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Andrea Rocca, Roberta Maltoni, Sara Bravaccini, Daniele Generali, Lorenzo Cecconetto, Adrian L. Harris, Alessio Schirone, Dino Amadori, Alberto Bottini and Anna Fedeli. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, The Breast, Oncotarget and The Oncologist.

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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