Michele d’Angelo

3.3k citations
83 papers · 2.5k · h-index 31

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 11
    • Mitochondrial Function and Pathology 5
    • RNA Interference and Gene Delivery 4
    • Adipose Tissue and Metabolism 7
    • Pain Mechanisms and Treatments 5

Michele d’Angelo

78 papers receiving 2.5k citations

Peers

Michele d’Angelo
Comparison fields: 5 of 133
  • Biological Psychiatry 102
  • Neurology 197
  • Developmental Neuroscience 81
  • Cancer Research 237
  • Physiology 408
Replace Elisabetta Benedetti with:
Elisabetta Benedetti Italy
Shanshan Wang China
Xia Qin China
Jian‐Hong Zhu China
Chin‐San Liu Taiwan
Chunyan Li China
Chuan Qin China
Jian Fei China
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 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019174
2 2020128
3 2016126
4 201996
5 201984
6 202081
7 202072
8 202164
9 202060
10 201760
11 201853
12 202152
13 201851
14 201750
15 200048
16 202147
17 202047
18 202044
19 202144
20 202144

About Michele d’Angelo

Michele d’Angelo is a scholar working on Molecular Biology, Physiology, Oncology, Cancer Research and Neurology, having authored 83 papers that have together received 2.5k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (11 papers), Adipose Tissue and Metabolism (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cancer Treatment and Pharmacology (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Mitochondrial Function and Pathology (5 papers), Pain Mechanisms and Treatments (5 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Biological Psychiatry (102 citations), Neurology (197 citations), Developmental Neuroscience (81 citations), Cancer Research (237 citations) and Physiology (408 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, Margherita Alfonsetti, Maria Grazia Tupone, Antonio Giordano and Marcello Allegretti. 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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