Miriam Gaggianesi

1.9k citations
25 papers · 1.1k indexed · 1 hit paper · h-index 13
Topics
Cancer Cells and Metastasis (11 papers)Epigenetics and DNA Methylation (7 papers)Cancer, Hypoxia, and Metabolism (3 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaCancer Research

In The Last Decade

Miriam Gaggianesi

25 papers receiving 1.1k citations

Hit Papers

CD44v6 Is a Marker of Constitutive and Reprogrammed Cance...20142026201820222014100200300400500

Peers

Miriam Gaggianesi
Comparison fields: 5 of 82
  • Molecular Biology 729
  • Oncology 598
  • Cancer Research 327
  • Cell Biology 150
  • Immunology 142
Replace Veronica Catalano with:
Veronica Catalano Italy
Amanda K. Paulson United States
Kathleen E. DelGiorno United States
Rama Krishna Nimmakayala United States
Kari Fischer United States
Salina Yuan United States
Anna Durrans United States
Puspa R. Pandey United States
Ylenia Lombardo United Kingdom
Jane D. Holland Germany
Miriam Gaggianesi relative to Veronica Catalano Italy Veronica Catalano's profile →
Citations per field
00.5×1.6×
Veronica Catalano · 1×
Citations per year

Countries citing papers authored by Miriam Gaggianesi

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Gaggianesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Gaggianesi

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Gaggianesi. A scholar is included among the top collaborators of Miriam Gaggianesi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miriam Gaggianesi. Miriam Gaggianesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 1
4 3
5 3
6 6
7 10
8 6
9 12
10 14
11 4
12 1
13 30
14 29
15 104
16 107
17 48
18
CD44v6 Is a Marker of Constitutive and Reprogrammed Cancer Stem Cells Driving Colon Cancer Metastasisbreakdown →
570
19 34
20 24

About Miriam Gaggianesi

Miriam Gaggianesi is a scholar working on Aging, Physiology and Oncology, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (11 papers), Epigenetics and DNA Methylation (7 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Oncology (598 citations), Cancer Research (327 citations) and Molecular Biology (729 citations). Miriam Gaggianesi has collaborated with scholars based in Italy, Netherlands and Argentina. Frequent co-authors include Matilde Todaro, Giorgio Stassi, Francesco Dieli, Tiziana Apuzzo, Antonina Benfante, Isabella Sperduti, Flora Iovino, Veronica Catalano, Gaspare Gulotta and Gianfranco Cocorullo. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Cancer Research.

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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