Giuseppe Buono

1.4k citations
29 papers · 681 · h-index 13

Impact in

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

Papers in

    • HER2/EGFR in Cancer Research 12
    • Cancer Treatment and Pharmacology 5
    • Cancer Risks and Factors 5
    • Breast Cancer Treatment Studies 13
    • Cancer Genomics and Diagnostics 3

Giuseppe Buono

28 papers receiving 674 citations

Peers

Giuseppe Buono
Comparison fields: 5 of 87
  • Cancer Research 293
  • Oncology 362
  • Paleontology 61
  • Pulmonary and Respiratory Medicine 191
  • Pathology and Forensic Medicine 72
Replace Chunxiao Li with:
Chunxiao Li China
José Antonio López-Ruiz Spain
Shengli Yang China
Yuanyuan Hu China
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M.A. Lentz Belgium
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Giuseppe Buono relative to Chunxiao Li China Chunxiao Li's profile →
Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Giuseppe Buono

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Buono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018187
2 201689
3 201987
4 201363
5 201536
6 202429
7 202125
8 201820
9 200617
10 201716
11 201715
12 202214
13 202112
14 201712
15 20229
16 20208
17 20247
18 20167
19 20236
20 20225

About Giuseppe Buono

Giuseppe Buono is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology and Genetics, having authored 29 papers that have together received 681 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (13 papers), HER2/EGFR in Cancer Research (12 papers), Advanced Breast Cancer Therapies (7 papers), Cancer Treatment and Pharmacology (5 papers), Cancer Risks and Factors (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Cancer Genomics and Diagnostics (3 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Cancer Research (293 citations), Oncology (362 citations), Paleontology (61 citations), Pulmonary and Respiratory Medicine (191 citations) and Pathology and Forensic Medicine (72 citations). Giuseppe Buono has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Sabino De Placido, Lucia Del Mastro, Grazia Arpino, Mario Giuliano, Michelino De Laurentiis, Fabio Puglisi, Lorenzo Gerratana, Debora Basile, Francesco Schettini and James R. Wheeley. Their work appears in journals such as Cancer Treatment Reviews, Frontiers in Oncology, ESMO Open, Oncotarget and Frontiers in Aging Neuroscience.

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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