Giovanni Marsico
- Molecular Biology top 1%
- Cell Biology top 5%
- Cancer Research top 10%
- Biomedical Engineering top 10%
- Genetics top 10%
- Co-authors
- Shankar BalasubramanianMarco Di AntonioVicki S. ChambersJonathan M. BoutellDavid TannahillGeoffrey SmithRobert Hänsel‐HertschAleksandr B. Sahakyan
- Topics
- Advanced biosensing and bioanalysis techniques (11 papers)DNA and Nucleic Acid Chemistry (11 papers)RNA and protein synthesis mechanisms (10 papers)
- Cited by
- Molecular BiologyAgingCell Biology
- Partner nations
- United KingdomGermanyRussia
In The Last Decade
Giovanni Marsico
35 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Molecular Biology 5.2k
- Cell Biology 370
- Cancer Research 297
- Biomedical Engineering 274
- Genetics 267
Countries citing papers authored by Giovanni Marsico
This map shows the geographic impact of Giovanni Marsico'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 Giovanni Marsico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Marsico more than expected).
Fields of papers citing papers by Giovanni Marsico
This network shows the impact of papers produced by Giovanni Marsico. 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 Giovanni Marsico. The network helps show where Giovanni Marsico may publish in the future.
Co-authorship network of co-authors of Giovanni Marsico
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Marsico. A scholar is included among the top collaborators of Giovanni Marsico 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 Giovanni Marsico. Giovanni Marsico is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 67 | |
| 2 | 120 | |
| 3 | 224 | |
| 4 | 190 | |
| 5 | 110 | |
| 6 | 16 | |
| 7 | 72 | |
| 8 | 321 | |
| 9 | G-quadruplex structures mark human regulatory chromatinbreakdown → | 683 |
| 10 | 42 | |
| 11 | 49 | |
| 12 | 59 | |
| 13 | High-resolution sequencing of DNA G-quadruplex secondary structures in the human genome | 2 |
| 14 | High-throughput sequencing of DNA G-quadruplex structures in the human genomebreakdown → | 937 |
| 15 | 65 | |
| 16 | 2 | |
| 17 | Image-based analysis of lipid nanoparticle–mediated siRNA delivery, intracellular trafficking and endosomal escapebreakdown → | 1232 |
| 18 | 273 | |
| 19 | 82 | |
| 20 | 302 |
About Giovanni Marsico
Giovanni Marsico is a scholar working on Aging, Molecular Biology and Cell Biology, having authored 35 papers that have together received 6.0k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (11 papers), DNA and Nucleic Acid Chemistry (11 papers) and RNA and protein synthesis mechanisms (10 papers). The work is most often cited by research in Molecular Biology (5.2k citations), Aging (48 citations) and Cell Biology (370 citations). Giovanni Marsico has collaborated with scholars based in United Kingdom, Germany and Russia. Frequent co-authors include Shankar Balasubramanian, Marco Di Antonio, Vicki S. Chambers, Jonathan M. Boutell, David Tannahill, Geoffrey Smith, Robert Hänsel‐Hertsch, Aleksandr B. Sahakyan, Marino Zerial and Dario Beraldi. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.
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.