Roberto Maj

42 total papers · 1.7k total citations
33 papers, 1.4k citations indexed

About

Roberto Maj is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Psychiatry and Mental health. According to data from OpenAlex, Roberto Maj has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 8 papers in Psychiatry and Mental health. Recurrent topics in Roberto Maj's work include Neuroscience and Neuropharmacology Research (12 papers), Immune Response and Inflammation (6 papers) and Epilepsy research and treatment (6 papers). Roberto Maj is often cited by papers focused on Neuroscience and Neuropharmacology Research (12 papers), Immune Response and Inflammation (6 papers) and Epilepsy research and treatment (6 papers). Roberto Maj collaborates with scholars based in Italy, United States and Netherlands. Roberto Maj's co-authors include Nicola Biagio Mercuri, Giorgio Bernardi, Paolo Calabresi, Antonio Pisani, Patricia Salvati, Ruggero G. Fariello, Carla Caccia, Laura Faravelli, Marco Calabresi and Mario Varasi and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Neurology.

In The Last Decade

Roberto Maj

33 papers receiving 1.4k citations

Hit Papers

Long-term synaptic depres... 1992 2026 2003 2014 1992 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Roberto Maj 973 473 396 301 156 33 1.4k
Christophe Melon 1.3k 1.3× 570 1.2× 545 1.4× 233 0.8× 153 1.0× 46 1.8k
A. Serrano 853 0.9× 337 0.7× 589 1.5× 250 0.8× 83 0.5× 28 1.6k
Marc De Ryck 771 0.8× 295 0.6× 452 1.1× 284 0.9× 217 1.4× 39 1.7k
Fuji Yokoi 862 0.9× 240 0.5× 520 1.3× 264 0.9× 308 2.0× 35 1.7k
L. Lachenmayer 945 1.0× 489 1.0× 518 1.3× 147 0.5× 88 0.6× 54 1.8k
Vincenza Bagetta 1.0k 1.0× 665 1.4× 345 0.9× 202 0.7× 62 0.4× 26 1.4k
L. Rouquier 874 0.9× 547 1.2× 433 1.1× 332 1.1× 263 1.7× 18 1.6k
Elizabeth Hernández 970 1.0× 319 0.7× 580 1.5× 195 0.6× 113 0.7× 40 1.3k
Jonathan E. Kurz 752 0.8× 149 0.3× 461 1.2× 396 1.3× 95 0.6× 26 1.2k
Alberto Martire 788 0.8× 241 0.5× 561 1.4× 159 0.5× 83 0.5× 47 1.6k

Countries citing papers authored by Roberto Maj

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Maj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Maj

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026