Marco De Cecco

3.7k citations
15 papers · 1.3k indexed · 1 hit paper · h-index 10
Topics
CRISPR and Genetic Engineering (7 papers)Telomeres, Telomerase, and Senescence (5 papers)Animal Genetics and Reproduction (4 papers)
Partner nations
United StatesItalyRussia

In The Last Decade

Marco De Cecco

15 papers receiving 1.3k citations

Hit Papers

LINE1 Derepression in Aged Wild-Type and SIRT6-Deficient ...20192026202120232019100200300

Peers

Marco De Cecco
Comparison fields: 5 of 82
  • Molecular Biology 967
  • Physiology 353
  • Plant Science 352
  • Aging 194
  • Immunology 179
Replace Steven W. Criscione with:
Steven W. Criscione United States
Ryan R. White United States
Heidi N. Fridolfsson United States
Matthias Prestel Germany
Natalia B. Nedelsky United States
Rakhee Banerjee United States
Haifeng Wan China
Jackson Taylor United States
Timothy M. Stearns United States
Hanna Salmonowicz United Kingdom
Marco De Cecco relative to Steven W. Criscione United States Steven W. Criscione's profile →
Citations per field
00.5×1.5×1.8×
Steven W. Criscione · 1×
Citations per year

Countries citing papers authored by Marco De Cecco

Since Specialization
Citations

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

Fields of papers citing papers by Marco De Cecco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco De Cecco. 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 Marco De Cecco. The network helps show where Marco De Cecco may publish in the future.

Co-authorship network of co-authors of Marco De Cecco

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 3
2
LINE1 Derepression in Aged Wild-Type and SIRT6-Deficient Mice Drives Inflammationbreakdown →
305
3 45
4 104
5 203
6 1
7 303
8 46
9 248
10 36
11
CMV-based episomal vector is progressively lost in vivo in multi-gene transgenic pigs produced by SMGT
3
12 3
13
A method for uptake quantification of multiple fluorescent DNAs in boar semen as an alternative to radiolabeling.
3
14 10
15 18

About Marco De Cecco

Marco De Cecco is a scholar working on Aging, Biophysics and Geriatrics and Gerontology, having authored 15 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Telomeres, Telomerase, and Senescence (5 papers) and Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Aging (194 citations), Geriatrics and Gerontology (60 citations) and Molecular Biology (967 citations). Marco De Cecco has collaborated with scholars based in United States, Italy and Russia. Frequent co-authors include John M. Sedivy, Nicola Neretti, Jill A. Kreiling, Steven W. Criscione, Abigail L. Peterson, Sara Hillenmeyer, Xiaoai Zhao, Marina P. Antoch, Vadim N. Gladyshev and Taketo Taguchi. Their work appears in journals such as Cell, PLoS ONE and Cell Metabolism.

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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2026