Lorenzo Pasotti

913 total citations
40 papers, 580 citations indexed

About

Lorenzo Pasotti is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Lorenzo Pasotti has authored 40 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 15 papers in Biomedical Engineering and 12 papers in Genetics. Recurrent topics in Lorenzo Pasotti's work include Gene Regulatory Network Analysis (12 papers), CRISPR and Genetic Engineering (12 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Lorenzo Pasotti is often cited by papers focused on Gene Regulatory Network Analysis (12 papers), CRISPR and Genetic Engineering (12 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). Lorenzo Pasotti collaborates with scholars based in Italy, France and United Kingdom. Lorenzo Pasotti's co-authors include Paolo Magni, Susanna Zucca, Maria Gabriella Cusella De Angelis, Michela Casanova, Claudio Ciavatta, P. Sequi, M. Govi, G. Micoli, Ilaria Massaiu and Cinzia Calvio and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Lorenzo Pasotti

40 papers receiving 561 citations

Peers

Lorenzo Pasotti
Comparison fields: 5 of 90
  • Molecular Biology 390
  • Biomedical Engineering 189
  • Genetics 108
  • Soil Science 44
  • Plant Science 43
Robert G. Egbert United States
Xiaoxing Wei China
Jinyue Wang China
Bing Lu China
John J. Tomashek United States
Edwin H. Wintermute France
Defu Chen China
Ryan Tsoi United States
Amber N. Bible United States
Yu Ziniu China
Robert G. Egbert United States View profile →
Citations per field, relative to Lorenzo Pasotti
Lorenzo Pasotti · 1×
Citations per year, relative to Lorenzo Pasotti
Lorenzo Pasotti · 1×

Countries citing papers authored by Lorenzo Pasotti

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Pasotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Pasotti

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Pasotti. A scholar is included among the top collaborators of Lorenzo Pasotti 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 Lorenzo Pasotti. Lorenzo Pasotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 1
4 6
5 35
6 5
7 8
8 3
9 47
10 57
11 7
12 11
13 3
14 20
15 3
16 21
17 26
18 25
19 31
20 23

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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