Marco De Gobbi
- Molecular Biology top 5%
- Hematology top 0.5%
- Genetics top 0.5%
- Nutrition and Dietetics top 0.5%
- Genetics top 5%
- Co-authors
- Douglas R. HiggsAntonella RoettoClara CamaschellaJim R. HughesPaolo GaspariniDouglas VernimmenAngelita Calı̀Giovanni Garozzo
- Topics
- Iron Metabolism and Disorders (22 papers)Hemoglobinopathies and Related Disorders (22 papers)Trace Elements in Health (17 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Marco De Gobbi
66 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 1.6k
- Hematology 1.4k
- Genetics 1.3k
- Nutrition and Dietetics 971
- Genetics 376
Countries citing papers authored by Marco De Gobbi
This map shows the geographic impact of Marco De Gobbi'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 Gobbi 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 Gobbi more than expected).
Fields of papers citing papers by Marco De Gobbi
This network shows the impact of papers produced by Marco De Gobbi. 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 Gobbi. The network helps show where Marco De Gobbi may publish in the future.
Co-authorship network of co-authors of Marco De Gobbi
This figure shows the co-authorship network connecting the top 25 collaborators of Marco De Gobbi. A scholar is included among the top collaborators of Marco De Gobbi 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 Gobbi. Marco De Gobbi 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 | 11 | |
| 3 | 9 | |
| 4 | 3 | |
| 5 | 105 | |
| 6 | 338 | |
| 7 | 14 | |
| 8 | 194 | |
| 9 | 34 | |
| 10 | 155 | |
| 11 | 47 | |
| 12 | 74 | |
| 13 | 27 | |
| 14 | 34 | |
| 15 | Screening selected blood donors with biochemical iron overload for hemochromatosis: a regional experience. | 11 |
| 16 | Analysis of HFE and TFR2 mutations in selected blood donors with biochemical parameters of iron overload. | 15 |
| 17 | 23 | |
| 18 | The gene TFR2 is mutated in a new type of haemochromatosis mapping to 7q22breakdown → | 622 |
| 19 | Non-HFE hemochromatosis: insights into regulation on iron metabolisms from novel iron loading disorders. | 2 |
| 20 | Screening of the C282Y mutation in the HFE gene in Italy by Taqman technology. | 2 |
About Marco De Gobbi
Marco De Gobbi is a scholar working on Hematology, Genetics and Nutrition and Dietetics, having authored 67 papers that have together received 3.2k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (22 papers), Hemoglobinopathies and Related Disorders (22 papers) and Trace Elements in Health (17 papers). The work is most often cited by research in Hematology (1.4k citations), Genetics (1.3k citations) and Nutrition and Dietetics (971 citations). Marco De Gobbi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Douglas R. Higgs, Antonella Roetto, Clara Camaschella, Jim R. Hughes, Paolo Gasparini, Douglas Vernimmen, Angelita Calı̀, Giovanni Garozzo, Antonio Totaro and Richard J. Gibbons. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.