Simone Zaccaria

3.8k citations
24 papers · 425 · h-index 11

Impact in

    • Cancer Genomics and Diagnostics
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases

Papers in

Simone Zaccaria

24 papers receiving 423 citations

Peers

Simone Zaccaria
Comparison fields: 5 of 48
  • Cancer Research 289
  • Genetics 129
  • Molecular Biology 317
  • Oncology 82
  • Pathology and Forensic Medicine 54
Replace Joanna Achinger-Kawecka with:
Joanna Achinger-Kawecka Australia
Mirjam S. de Pagter Netherlands
Yasin Memari United Kingdom
Sylvia De Brakeleer Belgium
Thanos P. Mourikis United Kingdom
Donate Weghorn Spain
Kamil J. Cygan United States
Chris Leo United States
Geneviève Ouellette Canada
Hannah F. Almubarak Saudi Arabia
Simone Zaccaria relative to Joanna Achinger-Kawecka Australia Joanna Achinger-Kawecka's profile →
Citations per field
00.5×
Joanna Achinger-Kawecka · 1×
Citations per year

Countries citing papers authored by Simone Zaccaria

Since Specialization
Citations

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

Fields of papers citing papers by Simone Zaccaria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 202053
3 202249
4 202048
5 201526
6 201723
7 201620
8 201819
9 202317
10 202014
11 202114
12 201310
13 20239
14 20239
15 20248
16 20228
17 20186
18 20245
19 20243
20 20232

About Simone Zaccaria

Simone Zaccaria is a scholar working on Cancer Research, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (19 papers), Genomics and Phylogenetic Studies (8 papers), Genetic factors in colorectal cancer (7 papers), Genomic variations and chromosomal abnormalities (5 papers), Single-cell and spatial transcriptomics (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Genome Rearrangement Algorithms (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Cancer Research (289 citations), Genetics (129 citations), Molecular Biology (317 citations), Oncology (82 citations) and Pathology and Forensic Medicine (54 citations). Simone Zaccaria has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Benjamin J. Raphael, Gryte Satas, Mohammed El-Kebir, Gunnar W. Klau, Charles Swanton, Mariam Jamal‐Hanjani, Oriol Pich, Paola Bonizzoni, Thomas B.K. Watkins and Chris Bailey. Their work appears in journals such as Nature Communications, Bioinformatics, BMC Bioinformatics, Cell Systems and Algorithms for Molecular Biology.

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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