Massimiliano Cocca
- Hematology top 10%
- Genetics
- Molecular Biology
- Genetics
- Public Health, Environmental and Occupational Health
- Co-authors
- Daniela TonioloAnne BachelotCinzia SalaPatrice RodienPhilippe TouraineMicheline MisrahiF KuttennPaolo Gasparini
- Topics
- Genetic Associations and Epidemiology (4 papers)Biochemical Analysis and Sensing Techniques (4 papers)Hearing, Cochlea, Tinnitus, Genetics (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular Sciences
In The Last Decade
Massimiliano Cocca
18 papers receiving 345 citations
Peers
Comparison fields: 5 of 59
- Hematology 96
- Genetics 92
- Molecular Biology 91
- Genetics 78
- Public Health, Environmental and Occupational Health 77
Countries citing papers authored by Massimiliano Cocca
This map shows the geographic impact of Massimiliano Cocca'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 Massimiliano Cocca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimiliano Cocca more than expected).
Fields of papers citing papers by Massimiliano Cocca
This network shows the impact of papers produced by Massimiliano Cocca. 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 Massimiliano Cocca. The network helps show where Massimiliano Cocca may publish in the future.
Co-authorship network of co-authors of Massimiliano Cocca
This figure shows the co-authorship network connecting the top 25 collaborators of Massimiliano Cocca. A scholar is included among the top collaborators of Massimiliano Cocca 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 Massimiliano Cocca. Massimiliano Cocca is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 25 | |
| 12 | 8 | |
| 13 | 19 | |
| 14 | 8 | |
| 15 | 70 | |
| 16 | 22 | |
| 17 | 26 | |
| 18 | 79 | |
| 19 | The association of HFE and TMPRSS6 genetic variants to iron and erythrocyte parameters is only in part dependent from serum hepcidin levels | 2 |
| 20 | 70 |
About Massimiliano Cocca
Massimiliano Cocca is a scholar working on Sensory Systems, Nutrition and Dietetics and Genetics, having authored 20 papers that have together received 352 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Hearing, Cochlea, Tinnitus, Genetics (3 papers). The work is most often cited by research in Sensory Systems (53 citations), Hematology (96 citations) and Reproductive Medicine (64 citations). Massimiliano Cocca has collaborated with scholars based in Italy, France and Qatar. Frequent co-authors include Daniela Toniolo, Anne Bachelot, Cinzia Sala, Patrice Rodien, Philippe Touraine, Micheline Misrahi, F Kuttenn, Paolo Gasparini, Geri Méduri and C Vasseur. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and International Journal of Molecular 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.