Lorenzo Pasquali

4.5k citations
25 papers · 1.6k indexed · 1 hit paper · h-index 14
Topics
Pancreatic function and diabetes (15 papers)Epigenetics and DNA Methylation (7 papers)Diabetes and associated disorders (7 papers)
Partner nations
SpainUnited StatesItaly

In The Last Decade

Lorenzo Pasquali

24 papers receiving 1.6k citations

Hit Papers

Pancreatic β-cells in type 1 and type 2 diabetes mellitus...20202026202220242020100200300400500

Peers

Lorenzo Pasquali
Comparison fields: 5 of 103
  • Molecular Biology 833
  • Surgery 652
  • Genetics 576
  • Endocrinology, Diabetes and Metabolism 297
  • Cell Biology 215
Replace Michael C. Lawrence with:
Michael C. Lawrence United States
Guanlan Xu United States
Danielle Melloul Israel
Mara Suleiman Italy
Akari Inada Japan
Yan Hang United States
Marc C. Daniels United States
Eijiro Yamada Japan
Sung‐E Choi South Korea
Henry J. Hiddinga United States
Lorenzo Pasquali relative to Michael C. Lawrence United States Michael C. Lawrence's profile →
Citations per field
00.5×1.5×1.9×
Michael C. Lawrence · 1×
Citations per year

Countries citing papers authored by Lorenzo Pasquali

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Pasquali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Pasquali

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Pasquali. A scholar is included among the top collaborators of Lorenzo Pasquali 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 Pasquali. Lorenzo Pasquali 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
#WorkIndexed citations
1 0
2 8
3 10
4 5
5 31
6 10
7
Pancreatic β-cells in type 1 and type 2 diabetes mellitus: different pathways to failurebreakdown →
562
8 95
9 35
10 11
11 25
12 24
13 11
14 52
15 390
16 8
17 37
18 2
19 15
20 17

About Lorenzo Pasquali

Lorenzo Pasquali is a scholar working on Genetics, Surgery and Nephrology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (15 papers), Epigenetics and DNA Methylation (7 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Genetics (576 citations), Endocrinology, Diabetes and Metabolism (297 citations) and Surgery (652 citations). Lorenzo Pasquali has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Décio L. Eizirik, Miriam Cnop, Jorge Ferrer, Mireia Ramos-Rodríguez, Piotr A. Mieczkowski, Karen L. Mohlke, Marie P. Fogarty, Takao Nammo, Thierry Berney and Jeremy M. Simon. Their work appears in journals such as Nature Genetics, Bioinformatics and Gastroenterology.

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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