Marianna Madeo

23 total papers · 746 total citations
9 papers, 459 citations indexed

About

Marianna Madeo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Marianna Madeo has authored 9 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Marianna Madeo's work include Cancer, Stress, Anesthesia, and Immune Response (2 papers), Cellular transport and secretion (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). Marianna Madeo is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (2 papers), Cellular transport and secretion (2 papers) and Amino Acid Enzymes and Metabolism (2 papers). Marianna Madeo collaborates with scholars based in United States, Italy and France. Marianna Madeo's co-authors include Christopher T. Lucido, Paola D. Vermeer, David A. Pearce, Robert Dantzer, Zhongkui Hong, William C. Spanos, Paul L. Colbert, Jing Zhao, Daniel W. Vermeer and John H. Lee and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Human Molecular Genetics.

In The Last Decade

Marianna Madeo

9 papers receiving 455 citations

Author Peers

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

Author Last Decade Papers Cites
Marianna Madeo 203 149 141 75 74 9 459
Chi-Hsin Lin 176 0.9× 90 0.6× 93 0.7× 15 0.2× 120 1.6× 10 508
Daniele Baiz 258 1.3× 148 1.0× 71 0.5× 24 0.3× 26 0.4× 13 506
Linda Franic 157 0.8× 163 1.1× 176 1.2× 15 0.2× 172 2.3× 10 546
Sachiko Shinoda 367 1.8× 89 0.6× 253 1.8× 46 0.6× 44 0.6× 13 547
Daniel Ye 210 1.0× 36 0.2× 67 0.5× 22 0.3× 53 0.7× 14 430
Cindy K. Pon 166 0.8× 199 1.3× 113 0.8× 18 0.2× 20 0.3× 11 455
Marie-Christine Guiot 186 0.9× 84 0.6× 73 0.5× 12 0.2× 38 0.5× 7 492
J. M. Kros 230 1.1× 54 0.4× 45 0.3× 32 0.4× 79 1.1× 11 484
Hans‐Peter Jüsten 141 0.7× 38 0.3× 91 0.6× 21 0.3× 38 0.5× 12 466
Pasquale Buanne 240 1.2× 32 0.2× 107 0.8× 22 0.3× 37 0.5× 11 509

Countries citing papers authored by Marianna Madeo

Since Specialization
Citations

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

Fields of papers citing papers by Marianna Madeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianna Madeo

This figure shows the co-authorship network connecting the top 25 collaborators of Marianna Madeo. A scholar is included among the top collaborators of Marianna Madeo 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 Marianna Madeo. Marianna Madeo 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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