Giada Munari

1.4k citations
50 papers · 554 · h-index 15

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Colorectal Cancer Treatments and Studies
    • PARP inhibition in cancer therapy

Papers in

    • Colorectal Cancer Treatments and Studies 9
    • Cancer Genomics and Diagnostics 8
    • MicroRNA in disease regulation 4

Giada Munari

49 papers receiving 547 citations

Peers

Giada Munari
Comparison fields: 5 of 74
  • Cancer Research 128
  • Oncology 187
  • Pathology and Forensic Medicine 94
  • Pulmonary and Respiratory Medicine 86
  • Surgery 112
Replace Amy N. Melsaether with:
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Giada Munari relative to Amy N. Melsaether United States Amy N. Melsaether's profile →
Citations per field
00.5×1.5×1.9×
Amy N. Melsaether · 1×
Citations per year

Countries citing papers authored by Giada Munari

Since Specialization
Citations

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

Fields of papers citing papers by Giada Munari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 202033
3 201831
4 202228
5 201726
6 202325
7 201925
8 202122
9 202220
10 202019
11 202118
12 196617
13 202315
14 201715
15 201814
16 201913
17 202112
18 202211
19 201910
20 20248

About Giada Munari

Giada Munari is a scholar working on Oncology, Cancer Research, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 50 papers that have together received 554 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (9 papers), Genetic factors in colorectal cancer (9 papers), Cancer Genomics and Diagnostics (8 papers), Atomic and Subatomic Physics Research (7 papers), Dark Matter and Cosmic Phenomena (4 papers), MicroRNA in disease regulation (4 papers), Colorectal and Anal Carcinomas (3 papers) and Spectroscopy and Laser Applications (3 papers). The work is most often cited by research in Cancer Research (128 citations), Oncology (187 citations), Pathology and Forensic Medicine (94 citations), Pulmonary and Respiratory Medicine (86 citations) and Surgery (112 citations). Giada Munari has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Matteo Fassan, Sara Lonardi, Fotios Loupakis, Massimo Rugge, Ilaria Depetris, Stefano Brignola, Valentina Angerilli, Giuseppe Nicolò Fanelli, Paola Biason and Umberto Malapelle. Their work appears in journals such as Journal of Clinical Oncology, Journal of Clinical Pathology, Cancer Cell International, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and International Journal of Gynecological Pathology.

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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