Barbara D’Angelo

2.1k citations
30 papers · 1.8k · h-index 20

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 12
    • Alzheimer's disease research and treatments 3
    • Adipose Tissue and Metabolism 3

Barbara D’Angelo

30 papers receiving 1.8k citations

Peers

Barbara D’Angelo
Comparison fields: 5 of 131
  • Biological Psychiatry 81
  • Neurology 219
  • Developmental Neuroscience 66
  • Physiology 336
  • Biophysics 82
Replace Peter Račay with:
Peter Račay Slovakia
Soo‐Hwan Lee South Korea
Lothar Kußmaul Germany
Kent A. Robinson United States
Mónica L. Kotler Argentina
Jeffrey M. Reece United States
Syed Z. Imam United States
Ting‐Ting Huang United States
Alexei P. Kudin Germany
Xiaoqian Chen China
Barbara D’Angelo relative to Peter Račay Slovakia Peter Račay's profile →
Citations per field
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Peter Račay · 1×
Citations per year

Countries citing papers authored by Barbara D’Angelo

Since Specialization
Citations

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

Fields of papers citing papers by Barbara D’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara D’Angelo. 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 Barbara D’Angelo. The network helps show where Barbara D’Angelo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013350
2 2011162
3 2012148
4 2009139
5 2004107
6 2015104
7 200795
8 201684
9 201369
10 201160
11 200955
12 200744
13 201442
14 201140
15 201540
16 201037
17 201030
18 201722
19 201621
20 201719

About Barbara D’Angelo

Barbara D’Angelo is a scholar working on Molecular Biology, Physiology, Neurology, Cancer Research and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 1.8k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Alzheimer's disease research and treatments (3 papers), Neuroblastoma Research and Treatments (3 papers), Adipose Tissue and Metabolism (3 papers), Drug Transport and Resistance Mechanisms (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Biological Psychiatry (81 citations), Neurology (219 citations), Developmental Neuroscience (66 citations), Physiology (336 citations) and Biophysics (82 citations). Barbara D’Angelo has collaborated with scholars based in Italy, United States and Sweden. Frequent co-authors include Annamaria Cimini, Elisabetta Benedetti, Carina Mallard, Mats Sandberg, Jaspal Patil, Stephen G. Weber, Loredana Cristiano, Antonio Giordano, Silvia Di Loreto and Maria Paola Cerù. Their work appears in journals such as Journal of Cellular Physiology, Journal of Cellular Biochemistry, Cell Cycle, Current Alzheimer Research and Neuropharmacology.

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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