M Zannini

788 citations
10 papers · 683 indexed · h-index 10
Topics
Cancer-related gene regulation (5 papers)Animal Genetics and Reproduction (4 papers)RNA modifications and cancer (2 papers)

In The Last Decade

M Zannini

10 papers receiving 665 citations

Peers

M Zannini
Comparison fields: 5 of 66
  • Molecular Biology 463
  • Endocrinology, Diabetes and Metabolism 226
  • Genetics 173
  • Surgery 80
  • Oncology 67
Replace Ruthann I. Blough with:
Ruthann I. Blough United States
Lynn M. Kozma United States
Shirley M. Myers Canada
Sandy Laue Germany
N E Heldin Sweden
Matthew D. Schroeder United States
Magali Navarro United States
Dagmar Arnold United States
Idriss M. Bennani-Baı̈ti Austria
Rosita Winkler Belgium
M Zannini relative to Ruthann I. Blough United States Ruthann I. Blough's profile →
Citations per field
00.5×1.6×
Ruthann I. Blough · 1×
Citations per year

Countries citing papers authored by M Zannini

Since Specialization
Citations

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

Fields of papers citing papers by M Zannini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Zannini

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 77
2 33
3 44
4
Expression of the RET/PTC1 oncogene impairs the activity of TTF-1 and Pax-8 thyroid transcription factors.
50
5
p53 genes mutated in the DNA binding site or at a specific COOH-terminal site exert divergent effects on thyroid cell growth and differentiation.
10
6 61
7 17
8 16
9 266
10
A region of proto-dbl essential for its transforming activity shows sequence similarity to a yeast cell cycle gene, CDC24, and the human breakpoint cluster gene, bcr.
109

About M Zannini

M Zannini is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 10 papers that have together received 683 indexed citations. Recurring topics across this work include Cancer-related gene regulation (5 papers), Animal Genetics and Reproduction (4 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (226 citations), Molecular Biology (463 citations) and Genetics (173 citations). M Zannini has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Roberto Di Lauro, Helen Francis-Lang, Alessandra Eva, David Ron, Grazia Graziani, Reed B. Wickner, S A Aaronson, Lois T. Hunt, Steven R. Tronick and Katsuyuki Yaginuma. Their work appears in journals such as Molecular and Cellular Biology, Human Molecular Genetics and European Journal of Biochemistry.

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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