Michele d’Angelo

3.2k citations
81 papers · 2.3k · h-index 30

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 12
    • Mitochondrial Function and Pathology 5
    • Adipose Tissue and Metabolism 8
    • Pain Mechanisms and Treatments 5
    • Alzheimer's disease research and treatments 4

Michele d’Angelo

76 papers receiving 2.3k citations

Peers

Michele d’Angelo
Comparison fields: 5 of 135
  • Biological Psychiatry 101
  • Neurology 208
  • Developmental Neuroscience 80
  • Cancer Research 254
  • Physiology 422
Replace Elisabetta Benedetti with:
Elisabetta Benedetti Italy
Chuan Qin China
Chunyan Li China
Xia Qin China
Jian‐Hong Zhu China
Li Gao China
Fang Huang China
Yi‐Hsuan Lee Taiwan
Chin‐San Liu Taiwan
Michele d’Angelo relative to Elisabetta Benedetti Italy Elisabetta Benedetti's profile →
Citations per field
00.5×1.5×
Elisabetta Benedetti · 1×
Citations per year

Countries citing papers authored by Michele d’Angelo

Since Specialization
Citations

This map shows the geographic impact of Michele 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 Michele 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 Michele d’Angelo more than expected).

Fields of papers citing papers by Michele d’Angelo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michele 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 Michele d’Angelo Line = papers co-authored together Michele 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 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019160
2 2016124
3 2020115
4 201991
5 201977
6 202073
7 202065
8 202161
9 201757
10 202055
11 201851
12 202150
13 201849
14 201748
15 202046
16 200046
17 202044
18 202142
19 201541
20 202140

About Michele d’Angelo

Michele d’Angelo is a scholar working on Molecular Biology, Physiology, Oncology, Cancer Research and Neurology, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (12 papers), Adipose Tissue and Metabolism (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cancer Treatment and Pharmacology (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Pain Mechanisms and Treatments (5 papers), Mitochondrial Function and Pathology (5 papers) and Alzheimer's disease research and treatments (4 papers). The work is most often cited by research in Biological Psychiatry (101 citations), Neurology (208 citations), Developmental Neuroscience (80 citations), Cancer Research (254 citations) and Physiology (422 citations). Michele d’Angelo has collaborated with scholars based in Italy, United States and Albania. Frequent co-authors include Annamaria Cimini, Vanessa Castelli, Elisabetta Benedetti, Andrea Antonosante, Mariano Catanesi, Rodolfo Ippoliti, Antonio Giordano, Marcello Allegretti, Maria Grazia Tupone and Margherita Alfonsetti. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Cellular Physiology, Cells, Biomedicines and Oncotarget.

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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