Marco Melis

1.3k total citations
43 papers, 654 citations indexed

About

Marco Melis is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Marco Melis has authored 43 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 10 papers in Hematology and 8 papers in Molecular Biology. Recurrent topics in Marco Melis's work include Hemoglobinopathies and Related Disorders (18 papers), Iron Metabolism and Disorders (9 papers) and Adversarial Robustness in Machine Learning (7 papers). Marco Melis is often cited by papers focused on Hemoglobinopathies and Related Disorders (18 papers), Iron Metabolism and Disorders (9 papers) and Adversarial Robustness in Machine Learning (7 papers). Marco Melis collaborates with scholars based in Italy, United States and United Kingdom. Marco Melis's co-authors include R. Galanello, Antonio Cao, Francesco Muntoni, Antonello Ganau, Victor Dubowitz, M. Furbetta, Battista Biggio, Maria Cristina Rosatelli, Ambra Demontis and M. T. Scalas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neurology Neurosurgery & Psychiatry and The Journal of Pediatrics.

In The Last Decade

Marco Melis

42 papers receiving 618 citations

Peers

Marco Melis
Comparison fields: 5 of 104
  • Genetics 241
  • Molecular Biology 165
  • Hematology 158
  • Pediatrics, Perinatology and Child Health 139
  • Artificial Intelligence 85
Replace Nikolay Nikolov with:
Nikolay Nikolov Norway
Vincenzo De Angelis Italy
Athina Spiliopoulou United Kingdom
Naoto Miura Japan
Shubin Zhang China
Zhen Guo China
Xue Zeng China
Arpita Biswas India
Lujia Wang China
Nikolay Nikolov Norway View profile →
Citations per field, relative to Marco Melis
Marco Melis · 1×
Citations per year, relative to Marco Melis
Marco Melis · 1×

Countries citing papers authored by Marco Melis

Since Specialization
Citations

This map shows the geographic impact of Marco Melis'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 Melis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Melis more than expected).

Fields of papers citing papers by Marco Melis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marco Melis. 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 Melis. The network helps show where Marco Melis may publish in the future.

Co-authorship network of co-authors of Marco Melis

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Melis. A scholar is included among the top collaborators of Marco Melis 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 Melis. Marco Melis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 9
2 8
3 21
4 44
5
On the Intriguing Connections of Regularization, Input Gradients and Transferability of Evasion and Poisoning Attacks.
2
6 17
7
Using extreme programming in a distributed team
3
8 4
9 3
10 15
11 1
12 22
13 53
14 13
15 29
16 4
17
Prevention of homozygous beta-thalassemia by carrier screening and prenatal diagnosis in Sardinia.
47
18 11
19 48
20 15

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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