Daniela Rottoli

5.1k citations
47 papers · 4.1k indexed · 1 hit paper · h-index 32

Daniela Rottoli

47 papers receiving 4.0k citations

Hit Papers

Mesenchymal Stem Cells Are Renotropic, Helping to Repair ...5902004202620112018100200300400500

Peers

Daniela Rottoli
Comparison fields: 5 of 95
  • Nephrology 1.3k
  • Genetics 965
  • Geriatrics and Gerontology 202
  • Aging 58
  • Immunology 492
Replace Lorena Longaretti with:
Lorena Longaretti Italy
Daniela Corna Italy
Alfonso Eirin United States
Sharon D. Ricardo Australia
Paola Cassis Italy
Weichun He China
Markus Bitzer United States
Shaoyuan Cui China
Nichola Figg United Kingdom
Takahito Ito Japan
Daniela Rottoli relative to Lorena Longaretti Italy Lorena Longaretti's profile →
Citations per field
00.5×1.5×1.9×
Lorena Longaretti · 1×
Citations per year

Countries citing papers authored by Daniela Rottoli

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Rottoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniela Rottoli, 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 Daniela Rottoli Line = papers co-authored together Daniela Rottoli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20232
3 20225
4 20216
5 202019
6 201831
7 201717
8 201720
9 2017119
10 201521
11 201541
12 201442
13 2009398
14 200833
15
Mesenchymal Stem Cells Are Renotropic, Helping to Repair the Kidney and Improve Function in Acute Renal Failurebreakdown →
2004590
16 200293
17 200297
18 2002134
19 2002112
20 200139

About Daniela Rottoli

Daniela Rottoli is a scholar working on Nephrology, Genetics and Geriatrics and Gerontology, having authored 47 papers that have together received 4.1k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (20 papers), Chronic Kidney Disease and Diabetes (11 papers), Complement system in diseases (6 papers), Renin-Angiotensin System Studies (6 papers), Mesenchymal stem cell research (5 papers), Renal and related cancers (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Biomedical Research and Pathophysiology (3 papers). The work is most often cited by research in Nephrology (1.3k citations), Genetics (965 citations) and Geriatrics and Gerontology (202 citations). Daniela Rottoli has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Giuseppe Remuzzi, Carla Zoja, Daniela Corna, Ariela Benigni, Mauro Abbate, Marina Morigi, Susanna Tomasoni, Lorena Longaretti, Sara Conti and Cristina Zanchi. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, ˜The œNephron journals/Nephron journals, The Journal of Immunology and American Journal Of Pathology.

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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