Francesco Strino

1.7k citations
19 papers · 1.2k indexed · 1 hit paper · h-index 13
Topics
Genomics and Chromatin Dynamics (6 papers)Epigenetics and DNA Methylation (3 papers)Genomics and Phylogenetic Studies (3 papers)

In The Last Decade

Francesco Strino

19 papers receiving 1.2k citations

Hit Papers

PCGF Homologs, CBX Proteins, and RYBP Define Functionally...20122026201620212012200400600

Peers

Francesco Strino
Comparison fields: 5 of 97
  • Molecular Biology 993
  • Genetics 213
  • Cancer Research 170
  • Immunology 79
  • Oncology 76
Replace Brian T. Lee with:
Brian T. Lee United States
Moisès Burset Spain
Hanna S. Kuznetsov United States
Wei‐Wen Cai United States
Charles Y. Lin United States
Giuseppe Narzisi United States
Cesar A. Vargas-García United States
Junbai Wang Norway
Francesco Strino relative to Brian T. Lee United States Brian T. Lee's profile →
Citations per field
00.5×7.4×
Brian T. Lee · 1×
Citations per year

Countries citing papers authored by Francesco Strino

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Strino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Strino

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Strino. A scholar is included among the top collaborators of Francesco Strino 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 Francesco Strino. Francesco Strino 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 12
2 12
3 73
4 73
5 15
6 61
7 5
8 80
9
PCGF Homologs, CBX Proteins, and RYBP Define Functionally Distinct PRC1 Family Complexesbreakdown →
646
10 48
11 54
12 31
13
Integrated analysis of tumor samples sheds light on tumor heterogeneity.
21
14 2
15 12
16 13
17 11
18 20
19 15

About Francesco Strino

Francesco Strino is a scholar working on Endocrinology, Molecular Biology and Biophysics, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Epigenetics and DNA Methylation (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Molecular Biology (993 citations), Cancer Research (170 citations) and Genetics (213 citations). Francesco Strino has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Yuval Kluger, Fabio Parisi, Roberto Bonasio, Danny Reinberg, Jin Zhang, Zhonghua Gao, Ayana Sawai, Mariann Micsinai, Boaz Nadler and Per‐Georg Nyholm. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Genes & Development.

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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