Mauro Krampera

469 total papers · 17.1k total citations
160 papers, 11.0k citations indexed

About

Mauro Krampera is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Mauro Krampera has authored 160 papers receiving a total of 11.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Genetics, 47 papers in Oncology and 39 papers in Molecular Biology. Recurrent topics in Mauro Krampera's work include Mesenchymal stem cell research (53 papers), Cancer Cells and Metastasis (20 papers) and Tissue Engineering and Regenerative Medicine (18 papers). Mauro Krampera is often cited by papers focused on Mesenchymal stem cell research (53 papers), Cancer Cells and Metastasis (20 papers) and Tissue Engineering and Regenerative Medicine (18 papers). Mauro Krampera collaborates with scholars based in Italy, France and United States. Mauro Krampera's co-authors include Giovanni Pizzolo, Annalisa Pasini, Francesco Dazzi, Luc Sensebé, Elizabeth Simpson, Diane Scott, Julian Dyson, R. Laylor, Sarah J. Glennie and Andrea Sbarbati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Mauro Krampera

154 papers receiving 10.8k citations

Hit Papers

Bone marrow mesenchymal s... 2003 2026 2010 2018 2003 2005 2007 2019 2021 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Mauro Krampera 6.7k 3.3k 3.3k 1.9k 1.9k 160 11.0k
Jacques Galipeau 7.2k 1.1× 4.7k 1.4× 3.8k 1.2× 2.2k 1.2× 2.2k 1.2× 218 13.0k
Maria Ester Bernardo 5.4k 0.8× 2.8k 0.8× 2.4k 0.7× 1.8k 1.0× 1.7k 0.9× 109 9.7k
Bruno Péault 5.2k 0.8× 5.8k 1.7× 4.0k 1.2× 1.9k 1.0× 1.9k 1.0× 227 13.7k
Berit Sundberg 7.6k 1.1× 2.3k 0.7× 4.1k 1.2× 1.8k 1.0× 1.6k 0.9× 95 10.9k
Danièle Noël 6.8k 1.0× 5.0k 1.5× 3.3k 1.0× 1.6k 0.9× 1.6k 0.8× 220 14.1k
Zhongchao Han 5.1k 0.8× 5.9k 1.8× 3.4k 1.0× 1.7k 0.9× 1.8k 1.0× 373 13.4k
Paul J. Simmons 4.5k 0.7× 4.1k 1.2× 2.1k 0.6× 2.5k 1.3× 2.8k 1.5× 126 12.4k
Luc Sensebé 5.3k 0.8× 2.6k 0.8× 2.9k 0.9× 758 0.4× 1.2k 0.7× 131 8.7k
Jan A. Nolta 3.9k 0.6× 5.8k 1.7× 2.4k 0.7× 1.1k 0.6× 1.9k 1.0× 230 11.5k
Frank Barry 8.8k 1.3× 4.5k 1.4× 5.0k 1.5× 1.1k 0.6× 1.7k 0.9× 174 16.0k

Countries citing papers authored by Mauro Krampera

Since Specialization
Citations

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

Fields of papers citing papers by Mauro Krampera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mauro Krampera

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