Roberto Di Marco
- Molecular Biology top 5%
- Immunology top 2%
- Genetics top 2%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Co-authors
- Ferdinando NicolettiIsabelle VernosErnesto Sánchez‐HerreroGinés MorataRafael GaresseAlberto SolsPaola ZacconeKatia Mangano
- Topics
- Diabetes and associated disorders (13 papers)Immune Response and Inflammation (11 papers)Systemic Lupus Erythematosus Research (10 papers)
- Cited by
- ImmunologyBiological PsychiatryAging
- Partner nations
- ItalySpainUnited States
In The Last Decade
Roberto Di Marco
162 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 151
- Molecular Biology 2.3k
- Immunology 1.2k
- Genetics 876
- Cellular and Molecular Neuroscience 510
- Physiology 443
Countries citing papers authored by Roberto Di Marco
This map shows the geographic impact of Roberto Di Marco'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 Roberto Di Marco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Di Marco more than expected).
Fields of papers citing papers by Roberto Di Marco
This network shows the impact of papers produced by Roberto Di Marco. 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 Roberto Di Marco. The network helps show where Roberto Di Marco may publish in the future.
Co-authorship network of co-authors of Roberto Di Marco
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Di Marco. A scholar is included among the top collaborators of Roberto Di Marco 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 Roberto Di Marco. Roberto Di Marco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 19 | |
| 10 | 6 | |
| 11 | 59 | |
| 12 | 38 | |
| 13 | 137 | |
| 14 | 16 | |
| 15 | 42 | |
| 16 | 16 | |
| 17 | 65 | |
| 18 | 13 | |
| 19 | Drosophila Melanogaster, a Key Arthropod Model in the Study of the Evolutionary Long Term Adaptation of Multicellular Organisms to the Space Environment | 2 |
| 20 | 72 |
About Roberto Di Marco
Roberto Di Marco is a scholar working on Immunology, Molecular Medicine and Aging, having authored 166 papers that have together received 5.0k indexed citations. Recurring topics across this work include Diabetes and associated disorders (13 papers), Immune Response and Inflammation (11 papers) and Systemic Lupus Erythematosus Research (10 papers). The work is most often cited by research in Immunology (1.2k citations), Biological Psychiatry (116 citations) and Aging (76 citations). Roberto Di Marco has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Ferdinando Nicoletti, Isabelle Vernos, Ernesto Sánchez‐Herrero, Ginés Morata, Rafael Garesse, Alberto Sols, Paola Zaccone, Katia Mangano, Pier Luigi Meroni and Klaus Bendtzen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.