Lisa Gianesello

32 papers receiving 852 citations

Peers

Lisa Gianesello
Comparison fields: 5 of 87
  • Nephrology 115
  • Public Health, Environmental and Occupational Health 266
  • Pathology and Forensic Medicine 93
  • Orthopedics and Sports Medicine 40
  • Reproductive Medicine 38
Replace A Stavljenić with:
A Stavljenić Croatia
Carlos Henrique de Lemos Muller Brazil
Seung Joo Chon South Korea
Laura Vuolo Italy
Shengqiang Yu China
Olivia Trummer Austria
D M Large United Kingdom
Hala T. El‐Bassyouni Egypt
Blaise Robin France
Amelia Sutton United States
Lisa Gianesello relative to A Stavljenić Croatia A Stavljenić's profile →
Citations per field
00.5×10×15.3×
A Stavljenić · 1×
Citations per year

Countries citing papers authored by Lisa Gianesello

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Gianesello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lisa Gianesello, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lisa Gianesello Line = papers co-authored together Lisa Gianesello links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019137
2 2008112
3 201095
4 200670
5 201144
6 200942
7 201738
8 201238
9 202033
10 200926
11 202024
12 200923
13 201121
14 201920
15 201917
16 201117
17 200916
18 202111
19 202010
20 201810

About Lisa Gianesello

Lisa Gianesello is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Nephrology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 861 indexed citations. Recurring topics across this work include Pregnancy-related medical research (9 papers), Biomedical Research and Pathophysiology (8 papers), Ion Transport and Channel Regulation (5 papers), Ion channel regulation and function (5 papers), Chronic Kidney Disease and Diabetes (3 papers), Renal Diseases and Glomerulopathies (3 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Nephrology (115 citations), Public Health, Environmental and Occupational Health (266 citations), Pathology and Forensic Medicine (93 citations), Orthopedics and Sports Medicine (40 citations) and Reproductive Medicine (38 citations). Lisa Gianesello has collaborated with scholars based in Italy, United States and Argentina. Frequent co-authors include Carlo Foresta, Franca Anglani, Alberto Ferlin, Dorella Del Prete, Monica Ceol, Giovanna Priante, Anastasia Pepe, Alexander I. Agoulnik, Shu Feng and Luca De Toni. Their work appears in journals such as Annals of the New York Academy of Sciences, International Journal of Molecular Sciences, Journal of Nephrology, Nephrology Dialysis Transplantation and Journal of Cellular and Molecular Medicine.

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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