Gianmarco Motta

637 citations
18 papers · 395 indexed · 1 hit paper · h-index 9
Topics
Advanced Breast Cancer Therapies (4 papers)Chronic Lymphocytic Leukemia Research (3 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)
Journals
SHILAP Revista de lepidopterologíaBloodInternational Journal of Molecular Sciences

In The Last Decade

Gianmarco Motta

16 papers receiving 392 citations

Hit Papers

AKT Inhibitors: New Weapons in the Fight Against Breast C...2021202620222024202150100150

Peers

Gianmarco Motta
Comparison fields: 5 of 68
  • Molecular Biology 194
  • Oncology 127
  • Pulmonary and Respiratory Medicine 85
  • Cancer Research 80
  • Endocrinology, Diabetes and Metabolism 71
Replace Efrat Flashner-Abramson with:
Efrat Flashner-Abramson Israel
Isabel Conde Spain
Vicki L. Gordon United States
Giorgia Federico Italy
Victoria Rimkunas United States
Trace S. Tsuruda United States
Elena G. Chiorean United States
Shweta Kotian United States
Jason L. Rowand United States
Birgit Olsson Sweden
Gianmarco Motta relative to Efrat Flashner-Abramson Israel Efrat Flashner-Abramson's profile →
Citations per field
00.5×3.3×
Efrat Flashner-Abramson · 1×
Citations per year

Countries citing papers authored by Gianmarco Motta

Since Specialization
Citations

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

Fields of papers citing papers by Gianmarco Motta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianmarco Motta

This figure shows the co-authorship network connecting the top 25 collaborators of Gianmarco Motta. A scholar is included among the top collaborators of Gianmarco Motta 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 Gianmarco Motta. Gianmarco Motta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 1
5 0
6 8
7 23
8 6
9 10
10 17
11 0
12 23
13 30
14
AKT Inhibitors: New Weapons in the Fight Against Breast Cancer?breakdown →
160
15 1
16 3
17 41
18 68

About Gianmarco Motta

Gianmarco Motta is a scholar working on Family Practice, Genetics and Cancer Research, having authored 18 papers that have together received 395 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Cancer Research (80 citations), Oncology (127 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Gianmarco Motta has collaborated with scholars based in Italy, Netherlands and Switzerland. Frequent co-authors include Paolo Vigneri, Federica Martorana, Livia Manzella, Stefania Stella, Silvia Rita Vitale, Giuliana Pavone, Lucia Motta, Michele Massimino, Elena Tirrò and Chiara Romano. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and International Journal of Molecular Sciences.

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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