Federico Gulluni

3.0k citations
19 papers · 2.1k indexed · 1 hit paper · h-index 16
Topics
PI3K/AKT/mTOR signaling in cancer (11 papers)Cellular transport and secretion (7 papers)Protein Kinase Regulation and GTPase Signaling (6 papers)

In The Last Decade

Federico Gulluni

19 papers receiving 2.1k citations

Hit Papers

PI3K/AKT signaling pathway and cancer: an updated review20142026201820222014250500750

Peers

Federico Gulluni
Comparison fields: 5 of 106
  • Molecular Biology 1.5k
  • Cell Biology 475
  • Oncology 342
  • Cancer Research 333
  • Pulmonary and Respiratory Medicine 187
Replace Tania Maffucci with:
Tania Maffucci United Kingdom
Anutosh Chakraborty United States
Sabina Cosulich United Kingdom
Hyuk‐Jin Cha South Korea
Graham C. Fletcher Canada
Clint Mitchell United States
Isabel Domínguez United States
Sang-Oh Yoon United States
Stephen R. James United Kingdom
Roy Katso United Kingdom
Federico Gulluni relative to Tania Maffucci United Kingdom Tania Maffucci's profile →
Citations per field
00.5×1.6×
Tania Maffucci · 1×
Citations per year

Countries citing papers authored by Federico Gulluni

Since Specialization
Citations

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

Fields of papers citing papers by Federico Gulluni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Gulluni

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 4
2 1
3 22
4 18
5 118
6 18
7 53
8 80
9 16
10 110
11 39
12 10
13 72
14 42
15
PI3K/AKT signaling pathway and cancer: an updated reviewbreakdown →
912
16 158
17 15
18 82
19 311

About Federico Gulluni

Federico Gulluni is a scholar working on Cell Biology, Genetics and Physiology, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (11 papers), Cellular transport and secretion (7 papers) and Protein Kinase Regulation and GTPase Signaling (6 papers). The work is most often cited by research in Cell Biology (475 citations), Cancer Research (333 citations) and Molecular Biology (1.5k citations). Federico Gulluni has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Emilio Hirsch, Miriam Martini, Maria Chiara De Santis, Laura Braccini, Volker Haucke, Jean Piero Margaria, Elisa Ciraolo, Lorenzo Prever, Huayi Li and York Posor. Their work appears in journals such as Nature, Molecular Cell and Developmental Cell.

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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