Giuseppe Macino
- Molecular Biology top 1%
- Plant Science top 1%
- Cancer Research top 1%
- Endocrinology top 1%
- Immunology top 10%
- Co-authors
- Carlo CogoniNicoletta RomanoValerio FulciNikolaus RajewskyGianluca AzzalinTeresa ColomboAzra KrekMihaela Zavolan
- Topics
- MicroRNA in disease regulation (14 papers)Cancer-related molecular mechanisms research (11 papers)Photosynthetic Processes and Mechanisms (11 papers)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giuseppe Macino
58 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 4.1k
- Plant Science 2.0k
- Cancer Research 1.5k
- Endocrinology 432
- Immunology 331
Countries citing papers authored by Giuseppe Macino
This map shows the geographic impact of Giuseppe Macino'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 Giuseppe Macino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Macino more than expected).
Fields of papers citing papers by Giuseppe Macino
This network shows the impact of papers produced by Giuseppe Macino. 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 Giuseppe Macino. The network helps show where Giuseppe Macino may publish in the future.
Co-authorship network of co-authors of Giuseppe Macino
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Macino. A scholar is included among the top collaborators of Giuseppe Macino 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 Giuseppe Macino. Giuseppe Macino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Open-ST: High-resolution spatial transcriptomics in 3Dbreakdown → | 66 |
| 2 | 36 | |
| 3 | 200 | |
| 4 | 1 | |
| 5 | 43 | |
| 6 | 21 | |
| 7 | 55 | |
| 8 | 36 | |
| 9 | 244 | |
| 10 | 79 | |
| 11 | 60 | |
| 12 | 2 | |
| 13 | 147 | |
| 14 | 14 | |
| 15 | 184 | |
| 16 | 26 | |
| 17 | Gene silencing in Neurospora crassa requires a protein homologous to RNA-dependent RNA polymerasebreakdown → | 500 |
| 18 | 146 | |
| 19 | Quelling: transient inactivation of gene expression in Neurospora crassa by transformation with homologous sequencesbreakdown → | 520 |
| 20 | 103 |
About Giuseppe Macino
Giuseppe Macino is a scholar working on Cancer Research, Molecular Biology and Biochemistry, having authored 58 papers that have together received 5.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Cancer-related molecular mechanisms research (11 papers) and Photosynthetic Processes and Mechanisms (11 papers). The work is most often cited by research in Cancer Research (1.5k citations), Endocrinology (432 citations) and Molecular Biology (4.1k citations). Giuseppe Macino has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Carlo Cogoni, Nicoletta Romano, Valerio Fulci, Nikolaus Rajewsky, Gianluca Azzalin, Teresa Colombo, Azra Krek, Mihaela Zavolan, Pranidhi Sood and Caterina Catalanotto. Their work appears in journals such as Nature, Science and Cell.
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.