Marcello Maresca

3.3k citations
42 papers · 2.1k · h-index 24

Impact in

Papers in

    • CRISPR and Genetic Engineering 25
    • RNA and protein synthesis mechanisms 6
    • Advanced biosensing and bioanalysis techniques 6
    • Pluripotent Stem Cells Research 5
    • RNA regulation and disease 5
    • RNA Interference and Gene Delivery 4
    • Retinal Development and Disorders 2
    • Genetics, Aging, and Longevity in Model Organisms 3

Marcello Maresca

41 papers receiving 2.0k citations

Peers

Marcello Maresca
Comparison fields: 5 of 98
  • Aging 123
  • Business and International Management 137
  • Molecular Biology 1.7k
  • Genetics 519
  • Biological Psychiatry 20
Replace Maryam Jafari with:
Maryam Jafari United States
Hsin‐Kai Liao United States
Hong‐Jiang Wei China
Hiromi Miura Japan
Erwei Zuo China
Julie Chen United States
Takako Usami Japan
Yanjiao Shao China
Hyunji Lee South Korea
Yorick Post Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Marcello Maresca

Since Specialization
Citations

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

Fields of papers citing papers by Marcello Maresca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marcello Maresca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marcello Maresca Line = papers co-authored together Marcello Maresca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019326
2 2018266
3 2018178
4 2007144
5 201097
6 202383
7 201880
8 201973
9 201871
10 201861
11 200958
12 202048
13 201145
14 201844
15 202043
16 201843
17 201843
18 201841
19 202235
20 202132

About Marcello Maresca

Marcello Maresca is a scholar working on Molecular Biology, Aging, Physiology, Oncology and Biochemistry, having authored 42 papers that have together received 2.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (25 papers), RNA and protein synthesis mechanisms (6 papers), Advanced biosensing and bioanalysis techniques (6 papers), Pluripotent Stem Cells Research (5 papers), RNA regulation and disease (5 papers), RNA Interference and Gene Delivery (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Aging (123 citations), Business and International Management (137 citations), Molecular Biology (1.7k citations), Genetics (519 citations) and Biological Psychiatry (20 citations). Marcello Maresca has collaborated with scholars based in Sweden, United Kingdom and Germany. Frequent co-authors include Jun Fu, Axel Erler, Michelle J. Porritt, Pınar Akçakaya, Aengus Stewart, Charles D. Yeh, Luke M. Judge, Jacob E. Corn, Bruce R. Conklin and Beeke Wienert. Their work appears in journals such as Nature Communications, Cells, Science, Nucleic Acids Research and Methods.

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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