Carlo Maj

3.2k total citations
64 papers, 783 citations indexed

About

Carlo Maj is a scholar working on Molecular Biology, Genetics and Psychiatry and Mental health. According to data from OpenAlex, Carlo Maj has authored 64 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 25 papers in Genetics and 10 papers in Psychiatry and Mental health. Recurrent topics in Carlo Maj's work include Genetic Associations and Epidemiology (16 papers), Bioinformatics and Genomic Networks (7 papers) and MicroRNA in disease regulation (6 papers). Carlo Maj is often cited by papers focused on Genetic Associations and Epidemiology (16 papers), Bioinformatics and Genomic Networks (7 papers) and MicroRNA in disease regulation (6 papers). Carlo Maj collaborates with scholars based in Germany, Italy and United Kingdom. Carlo Maj's co-authors include Massimo Gennarelli, Luisella Bocchio‐Chiavetto, Annamaria Cattaneo, Elisabetta Maffioletti, Giuseppe Maina, Daniela Tardito, Gianluca Rosso, Nadia Cattane, Elena Milanesi and Alessandra Minelli and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Carlo Maj

54 papers receiving 774 citations

Peers

Carlo Maj

GENET

PMH

Ekaterina S. Gerasimov United States

Michael R. Williams United States

Yulong Cai China

Simone Gupta United States

Rezvan Noroozi Iran

Yanfang Wang China

Aifang Zhong China

Omkaram Gangisetty United States

Karin Weigelt Germany

Lorna M. Lopez Ireland

Ekaterina S. Gerasimov United States

Carlo Maj

400 ×1.2

263 ×1.3

GENET

61 ×0.4

98 ×0.8

PMH

99 ×1.0

Citations per year, relative to Carlo Maj Carlo Maj (= 1×) peers Ekaterina S. Gerasimov

Countries citing papers authored by Carlo Maj

Since Specialization

Citations

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

Fields of papers citing papers by Carlo Maj

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Maj

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

All Works

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20 of 20 papers shown

Alsamman, Alsamman M., et al.. (2025). Identification of novel proteomic biomarkers for hypertension: a targeted approach for precision medicine. Clinical Proteomics. 22(1). 7–7. 2 indexed citations

Went, Molly, Philip Law, Ines Gockel, et al.. (2025). Mendelian randomisation analysis to discover plasma metabolites mediating the effect of obesity on cancer risk. British Journal of Cancer. 133(9). 1344–1353.

Oeffner, Frank, Sebastian Zimmer, Verena Veulemans, et al.. (2025). Implications of monogenic bicuspid aortic valve (BAV) forms among sporadic BAV patients. European Journal of Human Genetics. 33(9). 1203–1206.

Willoughby, Emily A., Carlo Maj, Rafael Ahlskog, et al.. (2025). Within- and between-family genetic effects on educational achievement vary across countries and ages. Molecular Psychiatry. 31(4). 2029–2037.

Meller, Tina, Catarina Lundberg, Carlo Maj, et al.. (2025). Schizotypy, Psychosis Proneness, and the Polygenic Risk for Schizophrenia and Resilience. Schizophrenia Bulletin. 51(Supplement_2). S85–S94. 2 indexed citations

Bigge, Jessica, et al.. (2024). Expression quantitative trait loci influence DNA damage-induced apoptosis in cancer. BMC Genomics. 25(1). 1168–1168. 1 indexed citations

Went, Molly, Amit Sud, Philip Law, et al.. (2024). Phenome-wide Mendelian randomisation analysis of 378,142 cases reveals risk factors for eight common cancers. Nature Communications. 15(1). 2637–2637. 11 indexed citations

Maj, Carlo, et al.. (2024). Single-cell analysis reveals the spatial-temporal expression of genes associated with esophageal malformations. Scientific Reports. 14(1). 3752–3752.

Klinkhammer, Hannah, Núria Bonifaci, Isabel Spier, et al.. (2023). Ability of a polygenic risk score to refine colorectal cancer risk in Lynch syndrome. Journal of Medical Genetics. 60(11). 1044–1051. 2 indexed citations

10.

Sivalingam, Sugirthan, Lara M. Hochfeld, Oleg Borisov, et al.. (2023). Analysis of 72,469 UK Biobank exomes links rare variants to male-pattern hair loss. Nature Communications. 14(1). 5492–5492. 8 indexed citations

11.

Spier, Isabel, Hannah Klinkhammer, Friederike S. David, et al.. (2023). Clinically relevant combined effect of polygenic background, rare pathogenic germline variants, and family history on colorectal cancer incidence. BMC Medical Genomics. 16(1). 42–42. 12 indexed citations

12.

Maj, Carlo, Kirsten Y. Renkema, Rik Westland, et al.. (2022). A Genome-Wide Association Study into the Aetiology of Congenital Solitary Functioning Kidney. Biomedicines. 10(12). 3023–3023. 2 indexed citations

13.

Chen, Yan, Pirro G. Hysi, Carlo Maj, et al.. (2022). Genetic prediction of male pattern baldness based on large independent datasets. European Journal of Human Genetics. 31(3). 321–328. 13 indexed citations

14.

Namba, Shinichi, Yuki Saito, Yasunori Kogure, et al.. (2022). Common Germline Risk Variants Impact Somatic Alterations and Clinical Features across Cancers. Cancer Research. 83(1). 20–27. 7 indexed citations

15.

Beins, Eva C., Kathrin Schwarte, Carlo Maj, et al.. (2022). Chemokine receptor 4 expression on blood T lymphocytes predicts severity of major depressive disorder. Journal of Affective Disorders. 310. 343–353. 3 indexed citations

16.

Hochfeld, Lara M., et al.. (2021). Systematic Investigation of a Potential Epidemiological and Genetic Association Between Male Androgenetic Alopecia and COVID-19. SHILAP Revista de lepidopterología. 1(4). e72–e72. 3 indexed citations

17.

Bonvicini, Cristian, Samuele Cortese, Carlo Maj, et al.. (2020). DRD4 48 bp multiallelic variants as age-population-specific biomarkers in attention-deficit/hyperactivity disorder. Translational Psychiatry. 10(1). 70–70. 32 indexed citations

18.

Mazzelli, Monica, Carlo Maj, Nicole Mariani, et al.. (2020). The Long-Term Effects of Early Life Stress on the Modulation of miR-19 Levels. Frontiers in Psychiatry. 11. 389–389. 16 indexed citations

19.

Stacey, David, Klaus Oliver Schubert, Scott R. Clark, et al.. (2018). A gene co-expression module implicating the mitochondrial electron transport chain is associated with long-term response to lithium treatment in bipolar affective disorder. Translational Psychiatry. 8(1). 183–183. 21 indexed citations

20.

Maj, Carlo, et al.. (2012). An excursion in reaction systems: From computer science to biology. Theoretical Computer Science. 454. 95–108. 36 indexed citations

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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