Barbara Noli

961 citations
32 papers · 636 · h-index 17

Impact in

Papers in

    • Receptor Mechanisms and Signaling 3
    • Amyotrophic Lateral Sclerosis Research 4
    • Parkinson's Disease Mechanisms and Treatments 4

Barbara Noli

31 papers receiving 632 citations

Peers

Barbara Noli
Comparison fields: 5 of 75
  • Endocrine and Autonomic Systems 66
  • Neurology 142
  • Cellular and Molecular Neuroscience 138
  • Genetics 64
  • Neurology 50
Replace Filomena D’Amato with:
Filomena D’Amato Italy
Nicol Birsa United Kingdom
Lynne Baxter United Kingdom
Silvia Caioli Italy
Yoshiteru Kagawa Japan
В. В. Гусельникова Russia
Pam Ganju Switzerland
Claire‐Marie Dhaenens France
Toshiya Shiojima Japan
М. В. Глазова Russia
Barbara Noli relative to Filomena D’Amato Italy Filomena D’Amato's profile →
Citations per field
00.5×3.4×
Filomena D’Amato · 1×
Citations per year

Countries citing papers authored by Barbara Noli

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Noli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201067
2 201160
3 202055
4 201652
5 200731
6 201929
7 201627
8 201925
9 201524
10 201024
11 201923
12 202023
13 201221
14 201720
15 200820
16 201720
17 202319
18 201816
19 202314
20 201413

About Barbara Noli

Barbara Noli is a scholar working on Molecular Biology, Neurology, Endocrine and Autonomic Systems, Physiology and Cellular and Molecular Neuroscience, having authored 32 papers that have together received 636 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (7 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Alzheimer's disease research and treatments (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Neuropeptides and Animal Physiology (4 papers), Receptor Mechanisms and Signaling (3 papers), Dementia and Cognitive Impairment Research (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (66 citations), Neurology (142 citations), Cellular and Molecular Neuroscience (138 citations), Genetics (64 citations) and Neurology (50 citations). Barbara Noli has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Cristina Cocco, Gian‐Luca Ferri, Filomena D’Amato, Carla Brancia, Paolo Bongioanni, Irene Messana, Barbara Manconi, Charlotte E. Teunissen, Inger van Steenoven and Afina W. Lemstra. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Tissue and Cell, Journal of Endocrinology and Journal of Histochemistry & Cytochemistry.

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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