Lucia Motta

20 total papers · 1.1k total citations
13 papers, 822 citations indexed

About

Lucia Motta is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Lucia Motta has authored 13 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 6 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Lucia Motta's work include Viral-associated cancers and disorders (2 papers), Urologic and reproductive health conditions (2 papers) and HER2/EGFR in Cancer Research (2 papers). Lucia Motta is often cited by papers focused on Viral-associated cancers and disorders (2 papers), Urologic and reproductive health conditions (2 papers) and HER2/EGFR in Cancer Research (2 papers). Lucia Motta collaborates with scholars based in Italy, Switzerland and United States. Lucia Motta's co-authors include Holly Van Remmen, Levi Yant, Lin Rao, Qitao Ran, Tomas A. Prolla, Arlan Richardson, Paolo Vigneri, Federica Martorana, Giuliana Pavone and Gianmarco Motta and has published in prestigious journals such as SHILAP Revista de lepidopterología, Free Radical Biology and Medicine and International Journal of Molecular Sciences.

In The Last Decade

Lucia Motta

12 papers receiving 816 citations

Hit Papers

The selenoprotein GPX4 is... 2003 2026 2010 2018 2003 2021 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Lucia Motta 436 232 232 154 111 13 822
Kimberly J. Jasmer 322 0.7× 190 0.8× 189 0.8× 137 0.9× 154 1.4× 14 803
Maureen O. Ripple 547 1.3× 118 0.5× 74 0.3× 132 0.9× 106 1.0× 21 891
R. Angelopoulou 410 0.9× 316 1.4× 56 0.2× 143 0.9× 174 1.6× 14 905
Neville N.C. Tam 272 0.6× 156 0.7× 49 0.2× 122 0.8× 80 0.7× 23 773
Tomasz Dziaman 535 1.2× 48 0.2× 186 0.8× 158 1.0× 107 1.0× 23 1.0k
Elaine Sierra‐Rivera 574 1.3× 76 0.3× 66 0.3× 191 1.2× 126 1.1× 19 956
Takamasa Kanbe 484 1.1× 60 0.3× 84 0.4× 121 0.8× 114 1.0× 17 845
Michael Kerins 703 1.6× 407 1.8× 89 0.4× 328 2.1× 63 0.6× 14 1.0k
In-geun Ryoo 656 1.5× 100 0.4× 48 0.2× 181 1.2× 176 1.6× 19 999
Yvonne Denkins 297 0.7× 85 0.4× 246 1.1× 59 0.4× 114 1.0× 16 855

Countries citing papers authored by Lucia Motta

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Motta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Motta

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