M. Di Vito

587 citations
11 papers · 495 indexed · h-index 11
Topics
Cancer, Hypoxia, and Metabolism (4 papers)Retinoids in leukemia and cellular processes (2 papers)Erythrocyte Function and Pathophysiology (2 papers)

In The Last Decade

M. Di Vito

11 papers receiving 490 citations

Peers

M. Di Vito
Comparison fields: 5 of 78
  • Molecular Biology 271
  • Cancer Research 136
  • Radiology, Nuclear Medicine and Imaging 93
  • Immunology 55
  • Oncology 54
Replace Ding Wu with:
Ding Wu China
Yosuke Doi Japan
Annalyn Gilchrist United States
Maria Svetlova Russia
Matilde Caruso Italy
Mitra S. Rana United States
Elias J. Fernandez United States
Susan A. Chrysogelos United States
William H. Spohn United States
Robert A. Wijnands Netherlands
M. Di Vito relative to Ding Wu China Ding Wu's profile →
Citations per field
00.5×1.5×
Ding Wu · 1×
Citations per year

Countries citing papers authored by M. Di Vito

Since Specialization
Citations

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

Fields of papers citing papers by M. Di Vito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Di Vito. 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 M. Di Vito. The network helps show where M. Di Vito may publish in the future.

Co-authorship network of co-authors of M. Di Vito

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 23
2 190
3 51
4 15
5
Pentose phosphate pathway alterations in multi-drug resistant leukemic T-cells: 31P NMR and enzymatic studies.
27
6 11
7 48
8 35
9 22
10
31P-nuclear magnetic resonance analysis of interferon-induced alterations of phospholipid metabolites in interferon-sensitive and interferon-resistant Friend leukemia cell tumors in mice.
44
11 29

About M. Di Vito

M. Di Vito is a scholar working on Cancer Research, Physiology and Virology, having authored 11 papers that have together received 495 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Retinoids in leukemia and cellular processes (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Cancer Research (136 citations), Biochemistry (37 citations) and Biophysics (24 citations). M. Di Vito has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Franca Podo, Egidio Iorio, Enrico Proietti, Filippo Belardelli, G. Carpinelli, Maria Elena Pisanu, Kristine Glunde, Alessandro Ricci, Marina Bagnoli and Silvana Canevari. Their work appears in journals such as The Journal of Cell Biology, Cancer Research and FEBS Letters.

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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