Marco Angelozzi

25 papers receiving 870 citations

Peers

Marco Angelozzi
Comparison fields: 5 of 92
  • Rheumatology 274
  • Cancer Research 194
  • Genetics 107
  • Immunology and Allergy 50
  • Molecular Biology 397
Replace Yasuhito Yahara with:
Yasuhito Yahara Japan
Valerie S Salazar United States
Abdul Haseeb United States
Tetsuo Suzawa Japan
Shek Man Chim Australia
Laura Tonachini Italy
Hangang Chen China
Yinshi Ren United States
Vincent Kuek Australia
Guanghua Lei China
Marco Angelozzi relative to Yasuhito Yahara Japan Yasuhito Yahara's profile →
Citations per field
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Yasuhito Yahara · 1×
Citations per year

Countries citing papers authored by Marco Angelozzi

Since Specialization
Citations

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

Fields of papers citing papers by Marco Angelozzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019182
2 2021152
3 202275
4 201855
5 201653
6 201942
7 201537
8 201634
9 201433
10 201530
11 201828
12 201723
13 201721
14 201421
15 201719
16 201718
17 201414
18 20249
19 20238
20 20208

About Marco Angelozzi

Marco Angelozzi is a scholar working on Molecular Biology, Rheumatology, Cancer Research, Genetics and Genetics, having authored 26 papers that have together received 879 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (9 papers), Mesenchymal stem cell research (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (4 papers), interferon and immune responses (3 papers), Periodontal Regeneration and Treatments (3 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Rheumatology (274 citations), Cancer Research (194 citations), Genetics (107 citations), Immunology and Allergy (50 citations) and Molecular Biology (397 citations). Marco Angelozzi has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Véronique Lefebvre, Abdul Haseeb, Letizia Penolazzi, Roberta Piva, Elisabetta Lambertini, Andrea Lolli, Renata Pellegrino da Silva, Ranjan Kc, Maurizio Pacifici and Lutian Yao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Tissue Engineering and Regenerative Medicine, Stem Cells, Materials Science and Engineering C and Journal of Periodontal Research.

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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