Marco De Gobbi

136 total papers · 5.4k total citations
67 papers, 3.2k citations indexed

About

Marco De Gobbi is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Marco De Gobbi has authored 67 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Hematology, 28 papers in Genetics and 25 papers in Molecular Biology. Recurrent topics in Marco De Gobbi's work include Iron Metabolism and Disorders (22 papers), Hemoglobinopathies and Related Disorders (22 papers) and Trace Elements in Health (17 papers). Marco De Gobbi is often cited by papers focused on Iron Metabolism and Disorders (22 papers), Hemoglobinopathies and Related Disorders (22 papers) and Trace Elements in Health (17 papers). Marco De Gobbi collaborates with scholars based in Italy, United Kingdom and United States. Marco De Gobbi's co-authors include Douglas R. Higgs, Antonella Roetto, Clara Camaschella, Jim R. Hughes, Paolo Gasparini, Douglas Vernimmen, Angelita Calı̀, Antonio Totaro, Giovanni Garozzo and Richard J. Gibbons and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Marco De Gobbi

66 papers receiving 3.1k citations

Hit Papers

The gene TFR2 is mutated ... 2000 2026 2008 2017 2000 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marco De Gobbi 1.6k 1.4k 1.3k 973 374 67 3.2k
Dean R. Campagna 1.6k 1.0× 1.7k 1.2× 1.2k 0.9× 1.1k 1.1× 276 0.7× 43 3.8k
Yisrael Sidis 2.1k 1.3× 1.2k 0.9× 992 0.8× 712 0.7× 568 1.5× 47 4.0k
Laura Breda 1.0k 0.6× 1.0k 0.8× 1.2k 0.9× 257 0.3× 239 0.6× 86 2.4k
Maureen A. Su 701 0.4× 1.6k 1.2× 970 0.8× 1.5k 1.5× 503 1.3× 58 4.5k
Véronique David 1.1k 0.6× 815 0.6× 764 0.6× 589 0.6× 748 2.0× 71 2.2k
Alice McDonald 1.1k 0.7× 613 0.4× 358 0.3× 581 0.6× 73 0.2× 44 2.4k
An‐Sheng Zhang 391 0.2× 1.6k 1.1× 1.2k 0.9× 1.1k 1.1× 43 0.1× 58 2.3k
Gang Huang 2.1k 1.3× 1.4k 1.0× 539 0.4× 126 0.1× 185 0.5× 109 3.5k
D W Cox 603 0.4× 420 0.3× 176 0.1× 305 0.3× 285 0.8× 66 1.9k
Elliot Epner 2.5k 1.5× 516 0.4× 884 0.7× 54 0.1× 629 1.7× 68 3.8k

Countries citing papers authored by Marco De Gobbi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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