Anna De Rosa

3.4k citations
104 papers · 2.3k · h-index 29

Impact in

  • Neurology top 1%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neurological diseases and metabolism
    • Sperm and Testicular Function

Papers in

Anna De Rosa

102 papers receiving 2.2k citations

Peers

Anna De Rosa
Comparison fields: 5 of 120
  • Neurology 901
  • Reproductive Medicine 190
  • Cellular and Molecular Neuroscience 380
  • Neurology 159
  • Pathology and Forensic Medicine 229
Replace Geda Unabia with:
Geda Unabia United States
Martina Böttner Germany
Yi Li China
Luigi Manni Italy
Linus Olson Sweden
Lin Shi China
Takashi Matsuwaki Japan
Paola Tirassa Italy
William Thompson United States
Marina Quartu Italy
Anna De Rosa relative to Geda Unabia United States Geda Unabia's profile →
Citations per field
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Geda Unabia · 1×
Citations per year

Countries citing papers authored by Anna De Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Anna De Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna De Rosa. 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 Anna De Rosa. The network helps show where Anna De Rosa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013152
2 2015114
3 201492
4 201291
5 201378
6 201374
7 201261
8 201459
9 200859
10 201557
11 201655
12 200654
13 201854
14 201254
15 201851
16 201251
17 201247
18 201343
19 201942
20 201441

About Anna De Rosa

Anna De Rosa is a scholar working on Neurology, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Reproductive Medicine and Molecular Biology, having authored 104 papers that have together received 2.3k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (30 papers), Genetic Neurodegenerative Diseases (17 papers), Reproductive Biology and Fertility (13 papers), Sperm and Testicular Function (11 papers), Neurological disorders and treatments (10 papers), Multiple Sclerosis Research Studies (6 papers), Lysosomal Storage Disorders Research (5 papers) and Mitochondrial Function and Pathology (5 papers). The work is most often cited by research in Neurology (901 citations), Reproductive Medicine (190 citations), Cellular and Molecular Neuroscience (380 citations), Neurology (159 citations) and Pathology and Forensic Medicine (229 citations). Anna De Rosa has collaborated with scholars based in Italy, United Kingdom and Netherlands. Frequent co-authors include Giuseppe De Michele, Marcello Moccia, Paolo Barone, Maria Teresa Pellecchia, Marina Picillo, B. Gasparrini, Katia Longo, Marianna Amboni, Roberto Erro and Carmine Vitale. Their work appears in journals such as Neurological Sciences, Parkinsonism & Related Disorders, Italian Journal of Animal Science, Journal of Neurology and Movement Disorders.

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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