Maja Marchini

8 total papers · 454 total citations
8 papers, 391 citations indexed

About

Maja Marchini is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, Maja Marchini has authored 8 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Maja Marchini's work include Thyroid Disorders and Treatments (6 papers), Ion channel regulation and function (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). Maja Marchini is often cited by papers focused on Thyroid Disorders and Treatments (6 papers), Ion channel regulation and function (3 papers) and Nitric Oxide and Endothelin Effects (3 papers). Maja Marchini collaborates with scholars based in Italy, United States and Netherlands. Maja Marchini's co-authors include Alessandro Saba, Riccardo Zucchi, Thomas S. Scanlan, Massimo Tonacchera, Paolo Vitti, Grazia Chiellini, Andrea Raffaelli, Sabina Frascarelli, Sandra Ghelardoni and Gaetano De Siena and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and British Journal of Pharmacology.

In The Last Decade

Maja Marchini

8 papers receiving 386 citations

Author Peers

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

Author Last Decade Papers Cites
Maja Marchini 234 220 96 72 31 8 391
Sebastián Susperreguy 137 0.6× 102 0.5× 18 0.2× 45 0.6× 44 1.4× 14 357
S Shimoda 146 0.6× 140 0.6× 25 0.3× 125 1.7× 9 0.3× 11 358
Elizabeth Geras 167 0.7× 207 0.9× 124 1.3× 30 0.4× 7 0.2× 9 406
Nolwenn Samson 155 0.7× 47 0.2× 87 0.9× 64 0.9× 17 0.5× 15 366
Naoki Wakida 239 1.0× 89 0.4× 69 0.7× 28 0.4× 20 0.6× 12 393
Nadia Defontaine 352 1.5× 69 0.3× 41 0.4× 66 0.9× 29 0.9× 14 444
Carole Mathis 119 0.5× 53 0.2× 127 1.3× 91 1.3× 11 0.4× 11 445
Lyne Bilodeau 221 0.9× 118 0.5× 142 1.5× 44 0.6× 63 2.0× 14 389
Liyun Ma 223 1.0× 41 0.2× 44 0.5× 73 1.0× 23 0.7× 12 368
Daniel B. Owen 154 0.7× 50 0.2× 54 0.6× 114 1.6× 9 0.3× 11 370

Countries citing papers authored by Maja Marchini

Since Specialization
Citations

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

Fields of papers citing papers by Maja Marchini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Marchini

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Marchini. A scholar is included among the top collaborators of Maja Marchini 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 Maja Marchini. Maja Marchini 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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2026