Fiorenza Lotti

30 total papers · 3.3k total citations
15 papers, 2.2k citations indexed

About

Fiorenza Lotti is a scholar working on Molecular Biology, Oncology and Neurology. According to data from OpenAlex, Fiorenza Lotti has authored 15 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Oncology and 3 papers in Neurology. Recurrent topics in Fiorenza Lotti's work include Cancer Cells and Metastasis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Transcranial Magnetic Stimulation Studies (2 papers). Fiorenza Lotti is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Transcranial Magnetic Stimulation Studies (2 papers). Fiorenza Lotti collaborates with scholars based in Italy, United States and Canada. Fiorenza Lotti's co-authors include Ruggero De Maria, Adriana Eramo, Giovanni Sette, C Peschle, Emanuela Pilozzi, Mauro Biffoni, Concetta Conticello, Luigi Ruco, Antonio Di Virgilio and Giovanni Di Pino and has published in prestigious journals such as The Journal of Experimental Medicine, Cancer Research and Scientific Reports.

In The Last Decade

Fiorenza Lotti

15 papers receiving 2.1k citations

Hit Papers

Identification and expans... 2007 2026 2013 2019 2007 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
Fiorenza Lotti 1.5k 1.2k 622 283 222 15 2.2k
Per Øystein Sakariassen 1.1k 0.7× 1.1k 0.9× 873 1.4× 184 0.7× 259 1.2× 25 2.3k
Nicholas M. Donin 1.1k 0.8× 1.3k 1.1× 723 1.2× 403 1.4× 251 1.1× 25 2.6k
S. G. Hilsenbeck 1.5k 1.0× 1.2k 1.0× 704 1.1× 241 0.9× 121 0.5× 16 2.4k
Wissam Abdallah 2.2k 1.5× 1.8k 1.6× 791 1.3× 239 0.8× 202 0.9× 15 3.1k
Maartje van der Heijden 1.8k 1.3× 1.5k 1.3× 898 1.4× 217 0.8× 133 0.6× 10 2.9k
Takaaki Takeda 840 0.6× 1.4k 1.2× 926 1.5× 334 1.2× 134 0.6× 19 2.6k
Jianting Sheng 1.2k 0.8× 1.7k 1.4× 804 1.3× 276 1.0× 148 0.7× 34 2.6k
Dwain K. Irvin 1.2k 0.8× 1.3k 1.1× 549 0.9× 163 0.6× 165 0.7× 21 2.5k
Jiha Kim 1.4k 1.0× 1.6k 1.4× 847 1.4× 242 0.9× 239 1.1× 35 2.7k
Patrizia Tunici 1.2k 0.8× 1.3k 1.1× 630 1.0× 156 0.6× 169 0.8× 41 2.3k

Countries citing papers authored by Fiorenza Lotti

Since Specialization
Citations

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

Fields of papers citing papers by Fiorenza Lotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiorenza Lotti

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